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, Graph RAG, Re-ranking) that go beyond standard naïve RAG.AI Security &
- Guardrails:Deploy active safeguards against prompt injection, model jailbreaks, hallucination, and data leakage using core AI Security principles.Production MLOps, Eval &
- Performance LLM 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-FunctionalExecution:CollaboratecloselywithProductManagers, Solution Architects, and client team store solve 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’sincomputerscience,DataScience,AI,orequivalentpractical experiencedemonstratedthroughshippedproductsoropen-sourcecontributionsand qualified certifications in AWS/GCP/Oracle/Claude is mandatory.
- Strongtechnicalarticulationandcommunicationskillstoengagewithtechnical stakeholders, understand requirements, and present engineering solutions cleanly.

Technical Stack Requirements:
- Languages & CoreCS: Strong mastery of Python(FastAPI, PyDantic, Asyncio) with familiarity in TypeScript, Go, or Java.
- Agentic Frameworks & AI Stack: Hands-on experience with modern LLM orchestration tools (LangGraph,AutoGen,CrewAI,LangChain,LlamaIndex),PyTorch,HuggingFace, 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:Familiaritywithadversarialprompttesting,redteaming concepts, and guardrail implementation.
- MLOps & Infra: Practical experience with Docker, Kubernetes, GitHub Actions, MLflow, Weights & Biases, and serverless AI infrastructure on AWS/GCP/Azure.

Pay: ₹1,400,000.00 - ₹1,600,000.00 per year

Benefits

- Cell phone reimbursement
- Flexible schedule
- Food provided
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund

Work Location: Hybrid remote in Chennai, Tamil Nadu

📌 AI/ML Sr. Engineer (Chennai)
🏢 MSK Engineering and IT Service (I) Pvt.Ltd
📍 Chennai