Senior - AI Engineer

iTech India; Chennai District; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

iTech India seeks a Senior AI Engineer in Chennai to lead the design and delivery of AI solutions. The ideal candidate will manage AI services in production, mentor junior engineers, and engage directly with clients.

Responsibilities include overseeing AI feature lifecycles and developing LLM-based solutions. A bachelor's degree in computer science/engineering and at least 5 years of relevant experience are required.

The position demands significant expertise in Python and AI technologies, particularly in production environments.

Qualifications

• 5–6 years total experience, including 3+ years in AI / DL / NLP in production environments.
• Strong in Python and core CS fundamentals.
• Good SQL skills and experience with at least one RDBMS.

Responsibilities

• Own the end-to-end lifecycle of AI features.
• Build LLM/RAG-based solutions using vector databases.
• Develop Document AI models and pipelines.

Skills

Python

AI

Deep Learning

Natural Language Processing

Microservices

Docker

CI/CD

SQL

Machine Learning Operations (MLOps)

Education

Bachelor’s degree in Computer Science / Engineering

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

spaCy

Job description

About iTech iTech is a Dallas-headquartered IT C ITES company with an offshore development center in Chennai. We build custom web C mobile applications and AI/ML solutions for global clients across logistics, HR, legal, healthcare, education, BFSI and engineering. Our AI work focuses on:

• LLM-based apps (RAG, copilots, intelligent search, summarization)
• API-first SaaS products and on-prem enterprise solutions

Role Summary

We’re looking for a hands-on Senior AI Engineer (5–6 years) who can:

• Lead design and delivery of LLM G Document AI solutions end-to-end
• Own AI services in production (APIs, pipelines, monitoring)
• Mentor a team of AI engineers and work directly with clients (US C India)
• This is a technical leadership role, not a pure manager role.

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.

Education

• Bachelor’s degree in Computer Science / Engineering / related field (mandatory).
• Master’s degree is a plus.

Required Skills

• Ability to serve Internal & External Customers Autonomy
• Ability to Work In Teams