iTech India
Website:
itechindia.co
Job details:
About
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:
- Document AI C OCR (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 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.
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