Full Stack Sr. AI Engineer
Location
🇮🇳 Hubballi, India
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
Employment Type: Full-Time Location: Remote
About the Role
We are looking for a Senior AI Engineer with strong full-stack capabilities to join our engineering team. You will work across multiple client-facing projects that sit at the intersection of AI, data, and web—starting with a live production AI agent platform. You should be comfortable owning features end-to-end, from LLM pipeline design through to a polished frontend experience.
What You'll Do
AI Agent Engineering • Design and build AI agent pipelines, including multi-node LangGraph graphs. • Implement intent routing, multi-turn conversational context, session state management, and tool integrations. • Develop multi-step reasoning pipelines and graph-based agent workflows. RAG & Knowledge Systems • Build and maintain Retrieval-Augmented Generation (RAG) systems. • Design vector search architectures, embedding pipelines, retrieval grounding, and chunking strategies. • Implement hallucination mitigation techniques and retrieval evaluation frameworks. LLM Integration & Optimization • Integrate and optimize Large Language Models (LLMs) including OpenAI, Gemini, and Anthropic. • Develop structured output workflows using JSON schemas. • Create effective prompt engineering strategies, few-shot examples, and context window management solutions. • Build provider-neutral client architectures to support multiple LLM vendors. Full-Stack Development • Design, develop, and deploy end-to-end product features. • Build scalable FastAPI backends and React/Next.js frontends. • Implement Server-Sent Events (SSE) streaming and REST API contracts. • Deliver production-ready UI features independently without requiring dedicated frontend support. Observability & Quality • Own LLM observability including: • Token usage logging • Cost tracking • Fallback detection • Performance monitoring • Regression test suites • Build evaluation pipelines and golden test suites to ensure AI quality and consistency. Client & Product Collaboration • Collaborate directly with clients and stakeholders to understand business
requirements
. • Translate