Senior AI/ML Tech Lead

Job Title

Senior AI/ML Tech Lead

Experience

8–10 Years Overall | Minimum 3–4 Years in AI/ML & Generative AI

Employment Type

Full-Time

Job Description

We are looking for a highly technical and hands-on Senior AI/ML Tech Lead to drive the design, development, and deployment of advanced Generative AI and Machine Learning applications.

The role combines technical leadership and hands-on engineering, with approximately 40% focused on leading and mentoring the engineering team and 60% on architecture and development.

The ideal candidate should have strong expertise across LLMs, Agentic AI, Advanced RAG, OCR, Python, FastAPI, React, MLOps, and cloud platforms, with proven experience delivering production-grade AI solutions.

Key ResponsibilitiesTechnical Leadership & Team Management

• Lead AI, backend, and full-stack engineering teams.
• Allocate tasks, define sprint priorities, and ensure timely delivery.
• Conduct code reviews and maintain high standards for security, scalability, and performance.
• Design end-to-end architectures integrating frontend, backend, AI models, and enterprise systems.
• Mentor and guide engineers on modern software engineering, LLM development, and agentic AI patterns.

Hands-On AI/ML Engineering

• Architect and develop LLM-powered applications and multi-agent AI workflows.
• Work with frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, and CrewAI.
• Design and implement advanced RAG (Retrieval-Augmented Generation) architectures.
• Build document processing and OCR pipelines for extracting structured information from unstructured data.
• Work with OCR and document intelligence technologies such as PaddleOCR, Tesseract, LayoutLM, Azure Document Intelligence, and Vision LLMs.
• Develop high-throughput, asynchronous microservices and REST APIs using Python and FastAPI.
• Collaborate on or develop modern web applications using React, TypeScript, and JavaScript.
• Implement prompt engineering, model deployment, fine-tuning, and LLM evaluation.
• Integrate vector databases such as Pinecone, Qdrant, Chroma, and PGVector.
• Support AI workloads across Azure and AWS cloud environments.

Required Skills & Qualifications

• 8–10 years of professional software engineering experience.
• Minimum 3–4+ years of hands-on experience in AI/ML, Generative AI, OCR, and production AI solutions.
• Strong experience with commercial and open-source LLMs including:
• OpenAI
• Anthropic Claude
• Llama
• Strong knowledge of agentic AI frameworks:
• LangChain
• LlamaIndex
• LangGraph
• AutoGen
• CrewAI
• Experience with LLM evaluation frameworks such as LangSmith, TruLens, and Ragas.
• Strong understanding of:
• Advanced RAG
• Hybrid search
• Re-ranking
• Chunking strategies
• Vector databases
• Document intelligence
• Hands-on experience with OCR technologies including Tesseract, PaddleOCR, and Azure Document Intelligence.
• Experience working with Multimodal / Vision LLMs.
• Strong expertise in Python, FastAPI, and AsyncIO.
• Working proficiency in React, TypeScript, and JavaScript.
• Hands-on experience with Azure and/or AWS.
• Experience with Docker, Kubernetes, and CI/CD pipelines.

Preferred Skills

• Experience with Microsoft Fabric, Snowflake, or Azure SQL.
• Knowledge of LLM cost optimization and latency reduction techniques, including:
• Caching
• Semantic routing
• Model quantization
• Experience in client-facing technical leadership roles.
• Prior experience in agile consulting or technology consulting environments.

Key Skills

Generative AI | AI/ML | LLM | Agentic AI | RAG | OCR | Python | FastAPI | React | LangChain | LangGraph | LlamaIndex | CrewAI | AutoGen | Vector Databases | MLOps | Azure | AWS | Docker | Kubernetes

What We Offer

• Opportunity to lead and build high-impact Generative AI solutions.
• Strong technical ownership and direct business impact.
• Collaborative engineering environment.
• Flexible work arrangements.
• Competitive compensation package

Pay: Up to ₹200,000.00 per month

Work Location: Hybrid remote in Chennai, Tamil Nadu

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