Forward Deployed Engineer

Who thrives here

Engineers who want ownership of the full arc: problem, build, ship, operate. People who are comfortable walking into a room where the requirements are incomplete and leaving with a working plan. Those who find a backlog of tickets less satisfying than a customer whose system now works.

What you'll own

• Embed with client teams to understand their workflows, data, and the real problem behind the stated one.
• Deploy, integrate, and customise solutions, including AI and GenAI components, inside the client's environment.
• Build the integrations, data pipelines, APIs, and custom features that make a solution production-real.
• Rapidly prototype and iterate toward a working outcome under ambiguity and with imperfect data.
• Troubleshoot and operationalise what you ship; act as the primary technical contact for the client.
• Feed field learnings back into the product and delivery playbook.

What it takes

• 3-8+ years of hands-on software engineering (backend or full-stack).
• Strong coding ability in Python and/or Java, JavaScript, or Go.
• Real customer-facing ability: can scope a problem with a client and explain a solution clearly.
• Strong integration and API skills; comfort working with data.
• Working knowledge of at least one major cloud platform, AWS, Azure, or GCP.
• Bias to action, ownership, and comfort with fast iteration in ambiguous conditions.

Nice to have

• GenAI or LLM implementation experience, RAG, prompt engineering, LLM APIs, LangChain, LlamaIndex, vector databases.
• Background in solutions engineering, consulting, or a startup environment.
• Enterprise or BFSI domain exposure.
• Experience deploying software at customer sites or in regulated environments.