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18 of 472 matching

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Forward deployedJuniorNew

Forward Deployed Engineer (Graduate)

CoforgeLondon, England, United Kingdom (Hybrid)

Posted 1d ago/Full-time/£40–£45/yr/Expires Nov 10, 2026

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Why it matters

The role ships agentic workflows, retrieval pipelines and evaluation frameworks into enterprise client environments. It offers direct deployment work from the start, with exposure to LLM APIs and agent frameworks including LangGraph, CrewAI, AutoGen, MCP and the OpenAI Agents SDK.

About the job

Job Title: Forward Deployed Engineer (Graduate)

Location: London, UK (Hybrid)

Experience: 0-2 Years

Key Skills: Python, LLM APIs (OpenAI, Anthropic, Google), RAG, Agentic AI, Cursor, GitHub Copilot, Claude Code, Docker, CI/CD

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.
Strong Python programming skills.
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.

Stack

python
openai
anthropic
google
rag
docker
langgraph
mcp

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