Senior AI Engineer

Overview

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, ǪCA, 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 2–3 AI projects, guide 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
• 5–6 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). Technical Skills
• Strong in Python and core CS fundamentals (data structures, algorithms, clean code).
• Hands-on with AI / NLP / LLMs – classification, NER, ǪA, 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 of AWS or GCP.
• Good SǪL skills and experience with at least one RDBMS (PostgreSǪL/MySǪL).
• Understanding of MLOps in production – monitoring, logging, model versioning, rollback, performance C cost optimisation.
Soft Skills
• Excellent spoken and written English; able to explain complex ideas to non- technical stakeholders.
• Comfortable interacting with international clients and leading requirement / review calls.
• Strong ownership mindset and ability to lead and mentor junior engineers.
• Willingness to work with partial US time-zone overlaps for key meetings when required. Good-to-Have
• Experience in Logistics, Legal, HR/Recruitment, Healthcare, BFSI, Education, Engineering/Plant drawings.
• Exposure to Vision Transformers / advanced CV for document layout and OCR enhancement.
• Experience with experiment tracking tools (MLflow, DVC, WCB, etc.).
• Exposure to security G compliance (CIS, SOC2, GDPR, HIPAA, PCI-DSS, ITIL).
• Experience with on-prem / VPC-isolated deployments and data-sensitive environments.
• Knowledge of a systems language (Go / Rust / C++ / Scala) is a plus, not mandatory.