Artificial Intelligence Engineer

Coforge; Greater London; On-site; GBP 65,000 - 100,000; Full time

Job summary

Coforge is hiring an Agentic AI Engineer to design, develop, test, and deploy AI-agent workflows that leverage language models, enterprise data, APIs, and tools to complete business tasks safely and efficiently.

The role focuses on converting business requirements into agent workflows, building single-agent and basic multi-agent solutions, and implementing RAG, context management, and guardrails to mitigate AI risks. Strong coding and collaboration skills are essential.

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

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.

Skills

Python

TypeScript

Generative AI

Prompt engineering

Agent frameworks

RAG

Vector databases

REST APIs

CI/CD

AI evaluation & security

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

Docker

Git

Cloud services

Job description

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