Engineer Jobs

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. TEGNA is seeking a skilled and detail-oriented Automation Engineer to join our dynamic engineering team. This role will focus on building and maintaining robust automated testing frameworks to ensure the reliability, scalability, and performance of our software products. The ideal candidate will have a strong background in software testing, automation frameworks, and modern QA practices, along with the ability to collaborate closely with developers, product managers, and other stakeholders to deliver high-quality software. What You’ll Do Design, develop, and maintain automated test frameworks and test suites for web and API testing. Execute manual testing activities, including test case design, test execution, and defect reporting. Collaborate with cross-functional teams to understand product requirements and create comprehensive test strategies and plans. Perform code reviews and provide feedback to ensure adherence to coding standards and automation best practices. Identify and prioritize opportunities for test automation, improving overall QA efficiency. Investigate and debug test failures, working closely with developers to resolve issues quickly. Analyze test results and communicate findings to stakeholders, providing actionable insights and recommendations. Support and mentor junior team members on automation best practices and testing methodologies. Continuously enhance testing processes, tools, and frameworks to improve test coverage and efficiency. What Y

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Hybrid Cloud Engineer Position Overview TEGNA is looking for a Hybrid Cloud Engineer to join the dynamic engineering team. The TEGNA IT Infrastructure team represents a wide range of technologies and competencies. Working in tandem with peers, other teams, departments, business units and outside vendors, the team assists in the evaluation, implementation, and support of technology solutions toward business objectives. The analyst in this position will contribute to the design, implementation, and support of on premise and cloud components to core business applications and will participate in migrations to multiple public cloud platforms. As part of a team, the candidate will build, maintain, support technical systems and applications for business at data centres, cloud, and television stations. This requires comprehensive knowledge of server, storage, cloud, and networking components required to maintain the business. What You’ll Do Design, implement and maintain server and storage components for on-premises and public cloud. Working with technical and non-technical internal customers, provide in-depth consultation and communication for technology solutions. Lead the design, building, testing, documentation and implementation of systems management practices associated with AWS

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Mumbai-based candidates are preferred. This is a Solution Engineering role typically is 70% office or remote working in the regional country you are aligned to, supporting sales and channel technical activities and up to 30% traveling. This role is aligned to someone who is a self-starter, passionate about technology, enabling teams and connecting with people to help solve their requirements. The ideal candidate must have proven hands-on experience in cyber security products, excellent communication, and presentations skills. This is a perfect opportunity for an individual with previous Pre-Sales, Support, or Professional Services proven experience at a Vendor, Channel, Customer or Distribution role, who is looking to have a balance of channel and technical sales activities and build trusted relationships with partners. Responsibilities Include Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build out a bill of materials that meets the customer needs and aligns to the desired outcomes Conduct technical sales presentations, product, an

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview SonicWall is seeking a Distinguished Engineer to define and drive the long-term technical vision, architecture, and evolution of its Secure Private Access (SPA) platform and Zero Trust access technologies. This role serves as the highest level of individual contributor leadership, influencing architecture, engineering strategy, and innovation across multiple product and engineering organizations. The role builds upon SonicWall's current cloud-native SSE, ZTNA, and secure access initiatives. Key Responsibilities Define and drive the long-term technical vision and architecture strategy for SonicWall's Secure Private Access (SPA) platform and Zero Trust access technologies. Lead the design and evolution of highly scalable, secure, resilient, cloud-native distributed systems. Influence technical direction, architectural decisions, and engineering standards across multiple product and engineering organizations. Provide technical leadership during critical production incidents, customer escalations, and security events, driving root cause analysis and long-term architectural improvements. Serve as

CAPCO POLAND *We are looking for Poland based candidate. Capco is a fully independent, global management and technology consultancy. For 25 years we have combined innovative thinking with deep industry knowledge to deliver business consulting, digital transformation and technology services to Finance and Energy markets. Our collaborative and efficient approach helps clients reduce costs and manage risk and regulatory change while increasing revenues. We are thinkers, innovators, and disruptors. We are small enough to care but large enough to matter. We are seeking a highly skilled Security Operations Engineer to support the expansion of a strategic security program focused on onboarding critical applications into enhanced monitoring capabilities.In this role, you will play a key part in building and optimizing SIEM detection capabilities, supporting threat verification, and enabling regulatory alignment with DORA (Digital Operational Resilience Act) requirements by the end of 2026. You will work at the intersection of SIEM engineering, threat modelling, and security operations , contributing directly to improving detection accuracy and strengthening overall security posture. Key Responsibilities: Detection Engineering: Design, build, and optimize SIEM detection rules (with a focus on Microsoft Sentinel) Testing & Automation: Develop and execute test cases for detection logic; automate validation processes using scripting Application Onboarding: Support onboarding of critical applications into the security monitoring ecosystem Requirements Gathering: Collaborate with application teams to define logging requirements and detection use cases Workshop Facilitation: Lead and moderate workshops with stakeholders to align on threat scenarios and security capabilities Technical Documentation: Produce clear and comprehensive documentation covering detection logic, threat models, and validation results Collaboration: Work closely with SOC, enginee

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . This is a Solution Engineering role typically is 70% office or remote working in the regional country you are aligned to, supporting sales and channel technical activities and up to 30% traveling. This role is aligned to someone who is a self-starter, passionate about technology, enabling teams and connecting with people to help solve their requirements. The ideal candidate must have proven hands-on experience in cyber security products, excellent communication, and presentations skills. This is a perfect opportunity for an individual with previous Pre-Sales, Support, or Professional Services proven experience at a Vendor, Channel, Customer or Distribution role, who is looking to have a balance of channel and technical sales activities and build trusted relationships with partners. Responsibilities Include Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build out a bill of materials that meets the customer needs and aligns to the desired outcomes Conduct technical sales presentations, product, and solution demonstrations across SonicW

Research Engineer, Applied AI Location: Bangalore (or throughout India remote-friendly with travel) About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity,

CAPCO POLAND We offer a flexible collaboration model based on a B2B contract. At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Engagement Overview As a GenAI Developer, you will provide services related to the design, development, and deployment of scalable AI-powered applications using Large Language Models. Collaborating with cross-functional Agile teams, you will deliver production-ready solutions integrated into enterprise environments, helping clients unlock value from Generative AI. This engagement is well suited to professionals passionate about GenAI who enjoy combining strong backend and cloud expertise with modern AI capabilities. What You’ll Do Design, build, and deploy AI applications leveraging LLMs Develop scalable solutions using GCP services (Vertex AI, BigQuery, Cloud Run / Functions) Integrate LLM APIs (e.g. OpenAI, Vertex AI) into enterprise systems Design and implement RAG architectures Apply prompt engineering techniques to optimize model performance Build and maintain REST APIs and microservices Collaborate with cross-functional teams including data, backend, and business stakeholders Deliver high-quality solutions in agile, client-facing environments What We’re Looking For 3–6 years of experience in software development Strong hands-on experience with Python Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run / Functions) Practical experience working with LLM APIs (OpenAI, Vertex AI, etc.) Understanding of prompt engineering and RAG architectures Experience building REST APIs and microservices Strong communication skills and ability to work in a consulting environment Nice to Have Experience with LangChain or LlamaIndex Knowledge of embeddings and vector searc

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy. Role Description: We are looking for a Lead AI Engineer to join our Capco AI Lab and help design and build production-grade AI solutions for our clients. This is a senior , hands-on engineering role for someone with a strong software engineering background who has developed deep expertise in Generative and Agentic AI. You will make technical and architectural decisions, guide other engineers and, importantly, continue to write and review production code yourself . You will work on complex AI systems covering LLM orchestration, AI agents, RAG, tool and function calling, evaluation and observability, taking solutions from early prototypes through to scalable production environments. The role also involves working directly w

Job Title: ML Full stack Engineer Exp : 7 to 12yrs About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: ML Engineer Python, ML Frameworks: Scikit-learn, PyTorch,Integration Engineer, integration specialist, integration consultant, API, AWS, Python ML + Python+React+AWS Responsibilities: Design, experiment and deploy AI/ML models with intent in a fast-paced environment Monitoring and evaluating ML model performance Qualifications: BS in Engineering or Computer Science Comfortable in Python and SQL Foundational understanding of statistics and probability Systematic, structured thought process Experience with M