AI/ML Senior Engineer

Experience Level: 3+ Years

Location: Chennai, Hybrid

Full Time

Role Overview

We are seeking a high-ownership, hands-on AI / LLM Senior Engineer to drive the technical execution of our core AI platforms. In this role, you will bridge deep architectural vision with direct code-level execution.

You will collaborate with an agile engineering pod building enterprise-grade Agentic Workflows, Knowledge Graphs, and AI Security Safeguards. If you are driven by passion and innovation, determined to bend the limits to build something truly transformative — this role is for you.

Key Responsibilities

● Hands-On Agentic & Knowledge Systems Development:

○ Architect & Code: Build multi-modal LLM workflows and autonomous agentic systems using modern orchestration frameworks.

○ Knowledge Layer Integration: Implement knowledge graphs, dynamic ontologies, and advanced vector retrieval strategies (Hybrid Search, GraphRAG, Re-ranking) that go beyond standard naive RAG.

● AI Security & Guardrails:

○ Deploy active safeguards against prompt injection, model jailbreaks, hallucination, and data leakage using core AI Security principles.

○ Production MLOps, Eval & PerformanceLLM Ops: Build automated pipelines for continuous model evaluation (e.g., RAGAS, TruLens), dynamic prompt versioning, and latency tracking.

○ Cost & Throughput Optimization: Optimize token consumption, context window management, caching, and model inference costs across multi-cloud deployments.

● Observability:

○ Monitor model drift, data distribution shifts, and edge-case execution in live enterprise production environments.

○ Cross-Functional Execution: Collaborate closely with Product Managers, Solution Architects,



and client teams to resolve complex edge cases and accelerate feature delivery.

○ Serve as a technical mentor, elevating team execution standards and unblocking complex algorithmic or system challenges daily.

Required Qualifications

● Experience: 5+ years of core software engineering experience, including 3+ years specifically architecting and delivering AI/ML or LLM-based products into production.

● Leadership: Proven track record leading agile pods, conducting technical design reviews, and mentoring developers.

● Education: Master’s in computer science, Data Science, AI, or equivalent practical experience demonstrated through shipped products or open-source contributions and professional certifications in AWS/GCP/Oracle/Claude is mandatory.

● Strong technical articulation and communication skills to engage with technical stakeholders, understand requirements, and present engineering solutions cleanly.

Technical Stack Requirements:

● Languages & Core CS: Strong mastery of Python (FastAPI, PyDantic, Asyncio) with familiarity in TypeScript, Go, or Java.

● Agentic Frameworks & AI Stack: Hands-on experience with up-to-date LLM orchestration tools (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex), PyTorch, Hugging Face,and major LLM Provider APIs.

● Vector Engines & Knowledge Graphs: Direct working experience with vector databases (Qdrant, Pinecone, Milvus, Weaviate) and Knowledge Graph technologies (Neo4j, RDF/Ontologies).

● AI Security & Guardrails: Familiarity with adversarial prompt testing, red teaming concepts, and guardrail implementation.

● MLOps & Infra: Practical experience with Docker, Kubernetes, GitHub Actions, MLflow, Weights & Biases, and serverless AI infrastructure on AWS/GCP/Azure.

📌 AI/ML Senior Engineer (Chennai)
🏢 Connect Tech Talent
📍 Chennai