Job Description

This role combines hands-on software engineering with client-facing delivery. The Forward Deployed Engineer turns business requirements into production-ready AI solutions, working within the client's engineering context and standards, and owns agreed deliverables from technical discovery through deployment and handover.
You will close the gap between a Generative AI prototype and a solution that runs reliably in a real enterprise setting. You will be trusted to represent Sia in technical conversations with client architects, security teams, and product owners.

Key Responsibilities:
Work embedded with client and Sia teams, taking part in planning, stand-ups, and delivery activities.
Run technical discovery with client stakeholders and turn business needs into scoped, buildable deliverables with explicit acceptance criteria.
Build production-grade Python services and APIs (FastAPI and REST) that power Generative AI applications, including RAG pipelines over enterprise knowledge sources.
Integrate LLM APIs and SDKs into client settings,



handling authentication, rate limits, fallbacks, latency, and cost.
Connect solutions to enterprise systems such as databases, internal APIs, document stores, and business applications.
Deploy and release services on AWS, Azure, or GCP using Docker and CI/CD, working within the client's codebase and engineering standards.
Apply testing, observability and monitoring; lead production troubleshooting and root-cause analysis.
Apply security, reliability and performance practices from the start, including secrets handling, access control and data protection.
Estimate effort, flag risks and dependencies early, and communicate trade-offs and progress openly to technical and non-technical stakeholders.
Document decisions, hand over knowledge, and train client teams so the solution can be operated and adopted.
Capture reusable components and lessons from each engagement and contribute them back to the AI Factory.

📌 Forward Deployed Engineer Mumbai (India)
🏢 Sia
📍 India