We at Coforge are hiring for Agentic AI Engineer role with the following skillset Role Purpose Design, develop, test, and deploy AI-agent workflows that use language models, enterprise data, APIs, and tools to complete business tasks safely and efficiently. Key Responsibilities Convert business requirements into agent workflows, decision logic, tool calls, and human approval steps. Build single-agent and basic multi-agent solutions. Develop prompts, structured outputs, routing, retries, memory, and exception handling. Implement RAG, grounding, vector search, and context management. Integrate agents with APIs, databases, enterprise applications, and workflow platforms. Test accuracy, task completion, safety, latency, cost, and hallucination risk. Implement guardrails for privacy, permissions, prompt injection, and responsible AI. Diagnose issues using logs, traces, model responses, and tool-call history. Develop maintainable Python or TypeScript code and support CI/CD deployment. Create technical documentation, workflow diagrams, and operational runbooks. Required Skills Python and/or TypeScript Generative AI, large language models, prompt engineering, and structured outputs Agent frameworks such as LangGraph, Semantic Kernel, AutoGen, or CrewAI RAG, embeddings, vector databases, and enterprise search REST APIs, SQL, Git, Docker, cloud services, and CI/CD AI evaluation, monitoring, security, and responsible-AI practices Qualifications Bachelor’s degree in Computer Science, Engineering, IT, Data Science, or equivalent experience. 2–5 years in software, data, automation, or AI engineering. Experience building at least one generative-AI, RAG, chatbot, automation, or agentic-AI solution. Experience integrating applications through APIs. Strong problem-solving and analytical skills Experimentation and continuous-learning mindset Good engineering and documentation discipline Ability to collaborate with technical and business teams Ownership of development, deployment, and issue resolution Sound judgement when handling AI risks and limitations Performance Measures Agent accuracy and task-completion rate Business adoption and productivity improvement Reliability, latency, and cost efficiency Defect and hallucination rates Delivery against sprint and release commitments Code quality, test coverage, and documentation #J-18808-Ljbffr
Artificial Intelligence Engineer employer: Coforge
Coforge is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the tech space. Located in London, employees benefit from a vibrant city atmosphere, ample professional growth opportunities, and a commitment to cutting-edge technology, ensuring that team members are at the forefront of industry advancements. With a focus on employee development and a supportive environment, Coforge stands out as a rewarding place to build a meaningful career in data architecture.
