# Full Stack Engineer (GenAI and Agentic Applications) Source: https://realanalystjobs.com/job/full-stack-engineer-genai-and-agentic-applications-capgemini-c1acbbe8 Full Stack Engineer (GenAI and Agentic Applications) at Capgemini, based in Singapore. Experience level: 60 Years. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Capgemini](https://realanalystjobs.com/companies/capgemini) - Location: Singapore - First seen: Nov 15, 2026 - Employment type: Full time - Experience level: 60 Years - Source: Capgemini's careers page (Capgemini), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), AWS, Azure ## Visa sponsorship The posting does not say. Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record) ## About this role About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. About the Role We are looking for an experienced, product-minded Software Engineer to work directly with business units and use our established enterprise GenAI platform to deliver high-impact AI and automation solutions. In this forward-deployed role, you will partner closely with business users to understand their workflows, translate often ambiguous needs into well-scoped solutions, and own delivery from discovery and rapid prototyping through production rollout, adoption, and handover. You will build agentic workflows and custom applications using frameworks such as LangGraph and n8n, supported by strong backend, API, database, evaluation, and security engineering. Responsibilities • Business Discovery & Solution Shaping: Embed with business units to understand operational workflows, pain points, data, constraints, and intended outcomes. Facilitate discovery sessions, challenge assumptions, and translate needs into prioritised use cases, user stories, solution designs, and measurable success criteria. • Rapid Prototyping & Iterative Delivery: Build working prototypes quickly, validate them with users, and iterate based on evidence. Balance speed with maintainable engineering and take viable solutions through production deployment. • Agentic Workflow Engineering: Design and implement reliable AI workflows and agents using Python-based frameworks and orchestration tools such as LangGraph, LangChain, n8n, or equivalent technologies. Combine deterministic steps, LLM reasoning, tool calling, state management, human approvals, and exception handling as appropriate. • Custom Application Development: Build fit-for-purpose applications around business use cases, including backend services, APIs, integrations, authentication, workflow logic, and lightweight user interfaces where needed. • Data & Knowledge Integration: Design robust data ingestion, transformation, and retrieval pipelines. Integrate enterprise systems, databases, document repositories, APIs, and search or vector services while maintaining data quality, lineage, and access controls. • Backend & Database Engineering: Develop secure, scalable backend services and APIs, and design relational data models using technologies such as Python, FastAPI, and PostgreSQL. Diagnose complex integration, performance, and state-management issues. • AI Quality, Evaluation & Observability: Define evaluation datasets and acceptance criteria; test solution quality, reliability, latency, cost, and tool-call success; implement tracing and monitoring; and continuously improve prompts, retrieval, workflows, and safeguards. • Security, Governance & Responsible AI: Apply secure engineering practices, least-privilege access, data protection, prompt-injection defences, output controls, auditability, and human oversight in line with government policies and the risk profile of each use case. • Deployment, Adoption & Handover: Own production readiness, testing, rollout, documentation, user enablement, support, and knowledge transfer. Track adoption and business outcomes and incorporate field learnings into reusable patterns and improvements to the core platform. Requirements • Experience: 5+ years of software engineering experience, including demonstrated ownership of production applications from ambiguous requirements through deployment and support. • Backend Engineering: Strong proficiency in Python or another modern backend language, API design, asynchronous processing, integration patterns, testing, debugging, and system architecture. • Database & Data Engineering: Strong experience with relational databases, preferably PostgreSQL, including data modelling and query optimisation; practical knowledge of data pipelines, search, and vector retrieval is also required. • GenAI & Agentic Systems: Hands-on experience building LLM-enabled applications, RAG solutions, tool-calling agents, or automated workflows using frameworks such as LangGraph, LangChain, LlamaIndex, n8n, or equivalent. • Cloud & Production Delivery: Practical experience deploying and operating cloud-native applications. Familiarity with AWS and services such as Bedrock and OpenSearch is preferred, although equivalent Azure or GCP experience is acceptable. • Stakeholder Partnership: Strong communication and facilitation skills, with the ability to work directly with non-technical users, clarify business needs, explain trade-offs, manage expectations, and drive adoption. • Delivery Mindset: Comfortable working in ambiguous environments, learning unfamiliar business domains quickly, and balancing user value, delivery speed, security, reliability, and maintainability. Bonus Points: • Forward Deployment: Experience in consulting delivery, solutions engineering, internal product delivery, or another role involving direct collaboration with users and end-to-end implementation. • Workflow Automation: Experience with visual workflow builders such as n8n or Flowise, including custom nodes, integrations, credential handling, and operational support. • Evaluation & Observability: Experience with LLM evaluation, tracing, observability, red-teaming, or quality assurance tools and methods. • Regulated Environments: Experience delivering applications subject to stringent data privacy, cybersecurity, accessibility, or government requirements, including IM8 policies. Let's talk about w Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/full-stack-engineer-genai-and-agentic-applications-capgemini-c1acbbe8) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes. ## Capgemini 222 open analyst roles on Real Analyst Jobs. [More roles at Capgemini](https://realanalystjobs.com/companies/capgemini) ## More like this ### Other open roles at Capgemini - [MES Technical Business Analyst](https://realanalystjobs.com/job/mes-technical-business-analyst-capgemini-fa1a653a), New York New York, USA (On-site) - [Functional Analyst](https://realanalystjobs.com/job/functional-analyst-capgemini-00cc8f42), Spain (On-site) - [Business Analyst Senior Secteur Public](https://realanalystjobs.com/job/business-analyst-senior-secteur-public-capgemini-c49e0244), France (On-site) - [Looker and Tableau Developer](https://realanalystjobs.com/job/looker-and-tableau-developer-capgemini-089bbe73), Bucharest, Romania - [ABL - Business Analyst](https://realanalystjobs.com/job/abl-business-analyst-capgemini-e19f6f16), Aguascalientes, Mexico - [Data analyst jobs in Singapore](https://realanalystjobs.com/jobs/data-analyst-jobs-in-singapore) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/full-stack-engineer-genai-and-agentic-applications-capgemini-c1acbbe8) - [Capgemini on Real Analyst Jobs](https://realanalystjobs.com/companies/capgemini) - [All analyst jobs](https://realanalystjobs.com/jobs)