Coforge helps enterprise organizations transform artificial intelligence into scalable, business-critical solutions across multiple industries. The Associate Forward Deployed Engineer will complete intensive applied AI training and work with enterprise clients to build, deploy, present, and support production AI systems, including agentic workflows and retrieval-augmented generation pipelines.
Embed with an enterprise client team — typically Fortune 500 — to deliver production AI systems in two-to-four-week sprints
Co-own a scoped workstream with a senior FDE: agentic workflows, RAG pipelines, eval frameworks, fine-tunes, or AI-native rebuilds of legacy processes
Ship production code from day one. Not slideware, not "POCs that never leave Jupyter" — real systems with real users
Present your work weekly to client stakeholders, ranging from engineering leads to the C-suite. You'll write the readout. You'll demo the system. You'll defend the design choices
Translate ambiguous client problems into shipped solutions — most FDE work begins with a vague pain point, not a written spec
Move between clients and verticals as you grow — typical glide path is solo workstream ownership by month nine, leading a deployment by month eighteen
Mentor the next cohort of associates as they arrive
Qualification
Required
Experience - 0 - 2 years
BS or MS in Computer Science, EE, Math, Statistics, Physics, or a comparably rigorous STEM field
• Languages: Production-quality Python. Comfortable reading any modern language
• Applied AI: Have built non-trivial applications using LLM APIs (Anthropic, OpenAI, Google). Understand RAG, embeddings, vector retrieval, and how evals work
• AI-native development: Daily user of AI coding tools (Cursor, Claude Code, Copilot, or equivalent) — not occasional, daily
• Engineering hygiene: Git, basic CI/CD, Docker. You've worked in a codebase larger than your own
• Written communication: You can write a one-page memo a busy executive will actually read
• Verbal communication: You can present a technical decision to a non-technical audience. Tested in our interview via a live project walkthrough
Preferred
•Candidates graduated from Computer Science program from US Tier-1/Ivy League universities are preferred. •
• Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen, Mastra, OpenAI Agents SDK, MCP).Fine-tuning experience (LoRA, full fine-tune, RLHF basics).Eval and observability tooling (LangSmith, Braintrust, Arize, Weights & Biases)
• Cloud certification or strong hands-on experience with AWS, Azure, or GCP
• TypeScript or Go alongside Python
• Public technical footprint: blog, popular GitHub repos, Hugging Face contributions, or active technical writing
• Prior client-facing experience in any context — consulting, sales engineering, founder, tutoring, debate, teaching
• Familiarity with one of our focus verticals (banking, insurance, healthcare, travel, retail) — but we explicitly do not require it; we train it
Benefits
60–90-day intensive training program in applied AI engineering, vertical immersion, and a client-mirrored capstone
Paired with senior FDEs from day one and involved in real work as soon as able to contribute
Coforge is a IT solutions organization, servicing customers in North America, Europe, Asia and Australia.
