What You'll Work On:1. Generative AI Core Engineering & Agent Orchestration:- Help architect and deploy multi-agent workflows using modern orchestration frameworks (LangGraph, LlamaIndex, Bedrock, Vertex AI) to solve complex, multi-step business problems.- Design and build Retrieval-Augmented Generation (RAG) systems, fine-tuned LLMs, high-performance embeddings pipelines, and document intelligence solutions.- Contribute to productionizing LLM-based agents for claims validation, pre-authorization, sales advisory, care management, and internal AI copilots.- Support work on advanced models, including transformers, diffusion models, and multi-modal (vision, speech) models for specialized health-tech challenges.2. Full-Stack Product Engineering:- Work across the entire UI - API - Model workflow, ensuring seamless, high-performance integration from front-end to inference.- Build user interfaces using modern frameworks (Next.js, React, Streamlit) for both customer-facing and internal operational tools.- Develop scalable backend microservices (Python/FastAPI, Node.js/Express) optimized for LLM inference and large-scale data serving.3. LLMOps & Deployment:- Ship models to production using modern MLOps tooling (MLflow, CI/CD, Docker, Kubernetes).- Help optimize latency, throughput, inference cost, and security for deployed GenAI services.- Build monitoring and observability for GenAI: model drift,



hallucination and toxicity rates, guardrail/compliance violations, and agent decision tracing.Eligibility:- Graduation year: Open to 2025 graduates from IIT(Delhi/Mumbai/Chennai/Kanpur) only.- Degree: B.Tech / M.Tech / M.S. / MCA or equivalent- Academics: Strong, consistent academic record across qualifying examinations.What You Bring to the Table:Must-Haves:- Strong fundamentals in algorithms, data structures, distributed systems, and applied Machine Learning / Deep Learning.- Hands-on exposure to LLMs and at least one agent/orchestration framework (LangChain/LangGraph, LlamaIndex, Bedrock, or Vertex) through projects, internships, or research.- Working proficiency in Python; familiarity with a up-to-date web stack (React/Next.js front-end, FastAPI or Node.js back-end).- A builder's mindset - comfortable in ambiguous, "0 to 1" environments where you help define both the product and the architecture.Preferred:- Experience with multi-modal models (vision, speech) relevant to healthcare/insurance documentation.- Exposure to fine-tuning LLMs or training custom small models for domain-specific tasks.- Interest in or exposure to healthcare, insurance, or financial services domains.- Familiarity with optimizing LLM inference (quantization, compilation, specialized) (ref:hirist.tech)

📌 AI Engineer - Python/Machine Learning (Gurugram)
🏢 BULWARK GLOBAL SERVICES
📍 Gurugram