Key Responsibilities:

- Own the end-to-end lifecycle of AI features from requirement understanding and solution design to development, deployment, and monitoring.

- Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, QA, extraction, and summarization over documents.

- Develop Document AI models/pipelines for OCR post-processing, entity/key-value extraction, classification, and layout/table understanding.

- Deploy models as scalable APIs/microservices in cloud and on-prem environments using Python, Docker, and CI/CD.

- Work directly with client stakeholders to refine requirements, present solutions, and handle reviews/clarifications.

- Act as technical lead on 23 AI projects, guiding the team on architecture, design, and best practices.

- Mentor junior AI engineers via code reviews, design discussions, and technical coaching.

- Design with security, privacy, and cost in mind, especially for data-sensitive domains (BFSI, healthcare, legal, HR)





Must-Have Experience Requirements:

- 4-6 years total experience, including 3+ years in AI/DL/NLP in production environments.

- Proven experience taking AI solutions from PoC to production (not just notebooks).

- Strong in Python and core CS fundamentals (data structures, algorithms, clean code).

- Hands-on with AI/NLP/LLMs classification, NER, QA, summarization, document understanding.

- Experience with some of: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, spaCy.

- Built and deployed RESTful ML services/APIs integrated with web or mobile applications.

- Worked with Docker and CI/CD pipelines;

experience with AWS or GCP.

- Positive SQL skills and experience with at least one RDBMS (PostgreSQL/MySQL).

- Understanding of MLOps in production monitoring, logging, model versioning, rollback, performance & cost optimization.

📌 Walk-in || Senior AI Engineer (Chennai)
🏢 Itech India Chennai
📍 Chennai