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Python Engineer 2c Agentic Ai Jobs

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A
Amplitude
πŸ“ Remoteβ€’ Full-time
1mo ago

As a Senior Sales Engineer at Amplitude, you'll be the technical quarterback for our most strategic opportunities. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R) Hands-on SQL experience: you can write j

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A
Amplitude
πŸ“ Remoteβ€’ Full-timeβ€’ $165K – $247K/yr
1mo ago

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code β€” and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects β€” design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development β€” think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling β€” and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

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Secureframe
πŸ“ Remoteβ€’ Full-time
1mo ago

At Secureframe , we are not just a company; we are at the forefront of revolutionizing cybersecurity compliance. Recognized as one of the industry's most innovative and trusted providers, Secureframe has consistently received accolades for our advanced technology solutions and commitment to excellence. With a robust portfolio of products that safeguard thousands of businesses worldwide, we have been featured in major publications such as Forbes’ next billion dollar startups , TechCrunch, and The Wall Street Journal for our transformative impact on the way companies achieve and maintain compliance standards. As we continue to grow, our mission remains clear: to provide seamless, secure solutions that enable businesses to focus on what they do best. Joining Secureframe means becoming part of a team dedicated to professional excellence and continuous learning in an environment that values creativity and forward-thinking. Secureframe is backed by top VCs including Kleiner Perkins, Accomplice, Gradient Ventures (Google’s AI Fund), BoxGroup, Village Global, and many more. Join Secureframe's Engineering team and help shape the future of compliance automation. Secureframe highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Secureframe office), Secureframe considers working in the office, approximately 30% of the time under current policy, to be an essential function of the employee's role. Benefits Medical, dental, and vision benefits for you and your dependent(s) Flexible PTO 401(k) Paid family leave Ground floor opportunity as an early member of the team What you'll do ... Lead technical scoping, design, and implementation of new end-to-end functionality Perform detailed code reviews and provide technical mentorship to engineers Lead architecture and architectural discussions for core parts of the Secureframe application Own multi-team c

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Writer
πŸ“ New Yorkβ€’ Full-time
1mo ago

πŸš€ About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. πŸ“ About the role As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies. This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI. Thi

pythonrestai
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Writer
πŸ“ Londonβ€’ Full-time
1mo ago

πŸš€ About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. πŸ“ About the role As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies. This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI. Thi

pythonaigo
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A
1mo ago

About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time β€” turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We’re entering a world where AI agents don’t just assist product teams β€” they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents’ ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova’s throughput, correctness, and operational rigor grows dramatically. We’re looking for a Staff Software Engineer who wants to go deep on both the engine internals and the infrastructure underneath it. You’ll work across the full stack of a modern OLAP system β€” query planning and execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure β€” while driving meaningful improvements to performance, cost-efficiency, and reliability at scale. You’ll influence technical direction through your work, your design reviews, and your mentorship of other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable β€” and who wants to do that work on a system that directly powers the product experience for thousands of customers. What You’ll Do Build and evolve core query engine infrastructure Work across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Design and implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Design for high-throughput automated quer

pythonjavaredis
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A
Amplitude
πŸ“ Remoteβ€’ Full-timeβ€’ $198K – $299K/yr
1mo ago

Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code β€” and we're rebuilding them for the AI era. As a Staff Platform Engineer, you'll set technical direction for the platform across teams, lead our highest-complexity and highest-leverage initiatives, and shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll operate across team boundaries β€” partnering with product engineering, fellow Staff+ engineers, and engineering leadership to make Kubernetes and cloud infrastructure effortless across the entire engineering org. You'll build the self-service automation, shared standards, and scalable AWS and GCP infrastructure that let dozens of product teams ship faster, safer, and with less cognitive load β€” and you'll multiply the engineers around you while you do it. Key Responsibilities Set technical direction β€” shape platform and domain-level technical strategy that improves developer experience, reliability, security, and cost, and lead the high-complexity, cross-cutting initiatives that deliver it with measurable impact for the organization. Drive clarity through ambiguity. Take on the most loosely-defined problems, validate the critical assumptions early, and create alignment with stakeholders across teams so others can move quickly and confidently β€” driving cross-team decisions to a timely close and escalating when needed. Build the AI-augmented platform. Design org-wide tooling, guardrails, and policy-as-code that help every engineer get more out of AI-assisted development β€” infra primitives an LLM can safely reason about and PR against, automated review, and standards that hold as AI changes how code gets written. Own Infrastructure-as-Code standards for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling β€” setti

pythonawsazure
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W
Writer
πŸ“ Indiaβ€’ Full-time
1mo ago

πŸš€ About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. πŸ“ About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our San Francisco or New York City office hubs. You will report to Staff IT lead πŸ¦ΈπŸ»β€β™€οΈ What you'll do Own the architecture and administration of our core enterprise SaaS platforms β€” including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and acc

pythonrestai
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A
1mo ago

About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time β€” turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams β€” they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the infrastructure underneath. You'll own significant components of a modern OLAP system β€” across query execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure β€” and drive meaningful improvements to performance, cost-efficiency, and reliability. You'll grow your technical influence through the quality of your code, your design contributions, and your collaboration with other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable β€” and who wants to do that work on a system that directly powers the product experience for thousands of enterprise customers. What You'll Do Build and improve core query engine components Contribute across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Help ensure Nova's components support

pythonjavaredis
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W
Writer
πŸ“ San Franciscoβ€’ Full-time
1mo ago

πŸš€ About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. πŸ“ About the role As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies. This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI. Thi

pythonrestai
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W
Writer
πŸ“ Indiaβ€’ Full-time
1mo ago

πŸš€ About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. πŸ“ About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our London office hub. You will report to Staff IT lead πŸ¦ΈπŸ»β€β™€οΈ What you'll do Own the architecture and administration of our core enterprise SaaS platforms β€” including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and access management strategy b

pythonrestai
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About the Role FLUENT ENGLISH & SPANISH SPEAKING IS A REQUIREMENT / MUST As a Senior Sales Engineer, Enterprise at Amplitude, you'll be the technical quarterback for our most strategic opportunities in the southwest region. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Fluent Spanish speaking is a MUST You must be comfortable speaking to nuanced t

pythonsqlgit
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A
Amplitude
πŸ“ Indiaβ€’ Full-time
1mo ago

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a β€œtake tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 3+ years of experience in software engineering Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply about UX, details, and building thin

pythonreactnode.js
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Supabase
πŸ“ Remoteβ€’ Full-time
1mo ago

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase serves millions of developers on a shared, multi-tenant platform. At that scale, abuse is not an edge case β€” it is a continuous operational reality. Credential stuffing, free-tier compute abuse, API scraping, malicious project provisioning, and exfiltration attempts occur every day. We need someone who treats detection and response as a craft, and who can close the loop between signal, triage, and automated remediation. You will work directly with our Anti-Abuse Lead and embed with Platform Security and Product Security to build and operate the systems that protect Supabase and its customers from abuse at scale. This role sits inside the security org but operates at the intersection of security engineering, data analysis, and platform operations. This role provides follow-the-sun coverage alongside our existing Anti-Abuse and Platform Security team members. It is fully remote, with a strong preference for candidates based in APAC or the West Coast of the Americas . What You’ll Own Abuse Detection & Signal Triage Monitor Signals: Monitor inbound abuse signals across platform telemetry, HackerOne reports, support queues, and internal alerting pipelines. Triage End-to-End: Triage abuse cases end-to-end, assessing severity and blast radius, classifying actor types, and routing to the correct response track. Queue Ownership: Own the abuse case queue with clear SLAs to ensure no active threats age out without a definitive decision. Pattern Recognition: Identify complex patterns across distinct cases that point toward coordinated campaigns or emerging attack techniques. Incident Response & Remediation Lead Incidents: Lead response efforts for active abuse incidents, coo

pythonreactsql
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C
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

pythonreactgit
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