Python Backend Engineer Jobs

About the Role We are a small team of AI builders in Paytm Labs. As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will contribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers - running our own coding and domain-specific models (voice, vision, risk, fintech workflows) as well as third-party models. You will also architect and build the platform that enables autonomous AI agents to operate safely and reliably in production - the runtime, orchestration, and developer tooling for agents to reason, plan, use tools, and execute complex multi-step workflows, automating both software development and business processes. You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience. What You'll Do Inference & Model Serving Build and operate multi-model serving across modalities (text, voice, code, vision) on shared infrastructure Own the model lifecycle: download, deploy, serve, monitor, update, swap Drive inference optimization: latency, throughput, cost - including quantization, batching, caching, and routing strategies Ensure inference is fast and reliable for the agents and systems that depend on it Agentic Systems Architect and build the Agentic AI Platform - runtime infrastructure, orchestration systems, and developer tooling for autonomous agents Design multi-agent coordination systems enabling agents to collaborate and solve complex workflows Build robust tool-use infrastructure that allows agents to interact with APIs, databases, and services safely Implement workflow automation: agents that execute multi-step business and engineering tasks with appropriate guardrails Build safety and gu

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers Establish best practices within the team & Databricks more widely for building valuable, AI products What we look for: 1

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever! We need someone who is passionate about detecting problems, making changes for the better, and seek out innovative ways in how predict device performance! We are an equal opportunity company who values of People, Innovation, Customer Focus, Tenacity and Collaboration. As Yield Failure Analysis Engineer in Micron NAND Technology Integration (NTI) Singapore department, you will be responsible for providing yield analysis for next-generation Micron products. In this exciting role, you will become a domain expert on physical failure analysis methods for any given electrical failure! You will also participate in the identification and communication of yield issues, assist with the root cause analysis for process deviations, characterize, probe, parametric, and fabrication data to identify the sources of failures. Job Responsibility: Perform Failure analysis which includes conducting electrical characterization, perform electrical verification to confirm failures, and understanding PFA techniques available for de-processing failures Dr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. We have an opening for Yield Analysis Engineer for NAND Technology Department in Singapore. We are looking for candidate that is passionate to innovate in data analytics, and curious to ask "what, how and why"? In this role you will be responsible for providing key feedback and direction on yield improvement activity for NAND memory technology! This role requires a high degree of collaboration across virtually all company functions, up to and including the Executive level. As Yield Analysis Engineer , you will be responsible for developing innovative NAND product technologies, define, and execute various effective actions to enable solutions to improve yield, quality, reliability, and hit key milestones & achieve the required performance within committed timelines. Your responsibilities will include, but are not limited to, the following: Discover yield issues in NAND development and identify unique metric or combination of metrics, such as wafer/dice/tile shading, ECATS or other custom metric for issues quantification Interact with process area, process integration, yield, failure analysis, product engineering, design, and layout teams to drive clear definition of yield, cell, CMOS,

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insi

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insi

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. In this role you will: Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs. Diagnose, reproduce, and resolve complex technical issues across the Replit platform. Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. Lead customer-facing communications during outages or incidents. Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution Build and update internal tooling, automation, and documentation that improves team efficiency. Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. Help

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires. Location & work mode This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 3 days per week (Mondays, Tuesdays, Thursdays), with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What You’ll Do Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact. Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns. Ru

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The Chief Technology Office leads Appian’s technology strategy, partnerships, and acquisitions. We often work interdepartmentally, partnering with Product Management, Sales, Marketing, and Engineering to influence the product roadmap, prototype new technologies, and develop technology partnerships. This role is aimed at a Graduate with 1 or 2 years total experience. As a Software Engineer working within the CTO team, you will work across the global Product and Engineering teams to design, build, and test features that expand the scale and scope of the Appian platform. You will jump between Appian low-code, plug-ins, and the internal codebase, prototyping innovative features that ultimately impact Appian’s product vision. This is a fast-paced role that blends traditional software engineering excellence with the opportunity to work directly with new and emerging technologies. This role is based at our Chennai Office in Brigade World Trade Centre. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. To Be Successful In This Role, You Will Need: Previous industry software development experience and/or internships. Practiced knowledge of programming concepts and best practices, and the ability to leverage these to write software in a full-stack web and mobile environment. The ability and desire to design features of increas

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Mid to Senior Software Engineer to help drive our transformation from legacy, on-premises software to a modern, cloud-native platform. In this role you will play a key part in designing and building our next-generation scalable data pipelines to ingest, transform, and load data from diverse sources. You'll be joining Defense Unicorns’ US Navy team and be responsible for creating and owning end-to-end project delivery, and advocating best practices in database usage and system architecture. You will work closely with other software engineers, platform engineers, end users, and external stakeholders. Responsibilities: Partner with data architects, analysts, and a wide variety of stakeholders to translate ambiguous product requirements into technical solutions Design, build, and maintain complex ETL/ELT workflows Implement security protocols, including authentication and authorization, Create optimized transformations to clean, enrich, and model data, utilizing cloud-native tools Ensure data quality, integrity, and compliance, maintaining metadata and lineage Help refactor and modernize existing on-prem systems into distributed, cloud-based services Contribute to the design of authentication, identity management, and RBAC/ABAC frameworks Participate in architectural discussions, code reviews, and ongoing technical improvements Drive best practices in microservice design, testing, observability, and CI/CD automation Collaborate closely with partner company engineers and stakeholders to devise the best solutions for our Mission Heroes Collaborate with the Defense Unicorns product team sharing improvements and growth opportunities for future projects Comfortable in an asynchronous, all remote environment Actively participate in communities of practice via Slack and Github Issues Integrate soft

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Alberta, Canada About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and on

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and next generation dashboards. We empower business professionals, non-technical users, and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their data across the organization. Our New Grad (Temp-to-Hire) Program at Sigma: Sigma’s early career program is the launchpad for the next generation of engineers and innovators. As a Software Engineering New Grad at Sigma, you’ll work on various production features and learn efficient engineering for large scalable systems. Our new grads work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for recent graduates who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Note: Our New Grad Program is a temp-to-hire program. Participants will be hired in a 3 month temp role and converted to a FTE based on positive performance and evaluation. New Grad Program Qualifications: Authorization : You must be legally authorized to work in the US Visa sponsorship is not available for our new grad positions Location: Our new grad roles are in-person and located within San Francisco, CA or New York, NY. Relocation assistance will be provided for recent graduates who will need to relocate in the form of a relocation bonus. Applicants must be able to work in-person in our offices either in San Francisco or New York City for the duration of their 3 month internship. About the role: Sigma’s Engineering organization is a dynamic, high performing team of Software Engineers who complement each other's skills. Our Engineers design, implement, and scale technical solutions that power our core product and enable our users to make data driven decisions in their businesses. As a Software

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Solutions Engineering Team We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Principal Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a senior individual contributor role for a hands-on system engineer who can set technical standards, establish integration best practices, and partner with cross-functional teams to automate complex business workflows at scale What you will do : Drive the architecture and strategy for self-service cloud automations, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows, API gateways, and async orchestration workflows using AWS serverless architectures and iPaaS platforms. Build reusable frameworks, developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Serve as a technical expert on AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Mentor engineers and influence engineering culture across teams, instilling a platform engineering mindset and raising the bar on code quality