S

Senior AI Engineer (LLM & Agentic Systems)

Remote
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Design and deploy end-to-end LLM-driven agentic systems including data fine-tuning, retrieval, and production deployment. Own the AI/ML depth of the stack, focusing on transformer architectures, RAG, and voice/speech models. Requires 3+ years of experience building production-grade Python ML/AI systems with strong deep learning fundamentals.

Key Highlights
End-to-end ownership of LLM agentic systems from fine-tuning to production deployment
Deep technical focus on transformer architectures and building models from scratch
Implementation of advanced RAG, knowledge graphs, and AI observability guardrails
Key Responsibilities
Design and implement LLM agents using LangGraph, PydanticAI, and Google ADK.
Build tool-augmented reasoning pipelines including RAG, Chain-of-Thought, and ReAct architectures.
Fine-tune LLMs using LoRA, QLoRA, and full fine-tuning, or build models from scratch when necessary.
Prepare and process large-scale datasets for pre-training and fine-tuning including tokenization and quality filtering.
Implement vectored and vector-less retrieval strategies using vector databases and knowledge graphs.
Build offline and online evaluation harnesses for accuracy, groundedness, latency, and cost.
Implement safety guardrails for PII redaction and scope control using tools like NeMo Guardrails.
Develop scalable APIs using FastAPI and implement Model Context Protocol (MCP).
Deploy and monitor models in cloud environments using vLLM or TGI with quantization for efficiency.
Technical Skills Required
Python PyTorch FastAPI
Benefits & Perks
Remote work option
Nice to Have
Advanced prompt optimization and agent evaluation techniques
Experience building AI observability tools from scratch
Exposure to multilingual or low-resource language models
Expert-level usage of agentic coding IDEs (Cursor, Windsurf, Claude Code)

Job Description

We are looking for an experienced AI Engineer to design, build, and deploy LLM-driven agentic systems end-to-end — from data and model fine-tuning to retrieval, evaluation, guardrails, and production deployment. You should be equally comfortable reasoning about how a transformer works internally and shipping a reliable, observable agent system in production. This role owns the AI/ML depth of our stack, with support from backend and frontend engineers for integration.

Experience: 3+ Years

Qualification: B.E. / B.Tech / M.Sc. / M.Tech / MCA — Computer Science / IT or related field

Location: Preference Mumbai / Relocation to Mumbai / Remote

Employment Type: Full-Time

Notice Period: Max 30 Days

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