Forward Deployed Engineer (Graduate)

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.