Forward Deployed Engineer (Graduate)

Coforge; Greater London; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

Coforge in London is seeking graduates to join its Forward Deployed Engineering (FDE) Practice, working on enterprise AI initiatives and production-grade solutions for global clients.

From day one you’ll contribute to AI engineering, LLMs, and agentic workflows, translating business challenges into scalable AI outcomes while collaborating with senior engineers and stakeholders.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Math, Physics or related STEM.
• Hands-on with LLM APIs (OpenAI, Anthropic, Google).
• Understanding of RAG, embeddings, vector databases, retrieval systems and AI evaluations.
• Proficient with AI coding tools like Cursor, GitHub Copilot, Claude Code.
• Knowledge of Git, CI/CD practices and Docker.

Responsibilities

• Participate in an intensive AI engineering program focused on LLMs, RAG and agentic systems.
• Collaborate with senior engineers on real-world client engagements from day one.
• Design, develop and deploy production-ready AI applications.
• Build agentic workflows, RAG pipelines and evaluation frameworks.
• Present project updates and technical recommendations to stakeholders.
• Translate complex business challenges into scalable AI solutions.
• Grow into independently leading AI workstreams and client deployments.

Skills

LLM APIs

RAG embeddings

Git CI/CD

AI problem solving

Communication

Education

Bachelors or Masters in STEM

Tools

Docker

GitHub Copilot

Claude Code

Cursor

Job description

Location: London, UK (Hybrid)

Experience: 0-2 Years

Join Coforge's AI Innovation Team

We at Coforge are looking for passionate and ambitious graduates to join our Forward Deployed Engineering (FDE) Practice. This is a unique opportunity to work directly on enterprise AI initiatives, helping Fortune 500 clients transform innovative AI concepts into production-grade solutions.

If you're passionate about AI, enjoy solving complex problems, and want to build production-grade solutions for global enterprises, we'd love to hear from you.

What You'll Do

• Participate in an intensive AI engineering program focused on LLMs, RAG, agentic systems, and AI evaluations.
• Collaborate with senior engineers on real-world client engagements from day one.
• Design, develop, and deploy production-ready AI applications.
• Build agentic workflows, RAG pipelines, evaluation frameworks, and AI-driven modernization solutions.
• Present project updates, demos, and technical recommendations to stakeholders.
• Translate complex business challenges into scalable AI solutions.
• Grow into independently leading AI workstreams and client deployments.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related STEM discipline.
• Practical experience with LLM APIs such as OpenAI, Anthropic, or Google.
• Understanding of RAG, embeddings, vector databases, retrieval systems, and AI evaluations.
• Regular user of AI coding tools such as Cursor, GitHub Copilot, or Claude Code.
• Knowledge of Git, CI/CD practices, Docker, and collaborative software development.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or OpenAI Agents SDK.
• Exposure to fine-tuning techniques including LoRA and RLHF concepts.
• Familiarity with observability and evaluation tools such as LangSmith, Braintrust, Arize, or Weights & Biases.
• Hands-on experience or certifications in AWS, Azure, or Google Cloud Platform.

If you're passionate about AI, enjoy solving complex problems, and want to build production-grade solutions for global enterprises, we'd love to hear from you.