AI Engineer

About iTech

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

• Document AI (OCR for invoices, legal documents, resumes, plant drawings)
• 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 and 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 and 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, 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 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, 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 of AWS or GCP.
• Good SQL skills and experience with at least one RDBMS (PostgreSQL/MySQL).
• Understanding of MLOps in production: monitoring, logging, model versioning, rollback, performance and 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, etc.).
• Exposure to security and 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.