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:
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Document AI C OCR (invoices, legal documents, resumes, plant drawings)
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LLM-based apps (RAG, copilots, intelligent search, summarization)
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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
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Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring.
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Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, ǪCA, extraction and summarization over documents.
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Develop Document AI models / pipelines for OCR post-processing, entity/key– value extraction, classification and layout/table understanding.
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Deploy models as scalable APIs / microservices in cloud and on-prem environments using Python, Docker and CI/CD.
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Work directly with client stakeholders to refine requirements, present solutions and handle reviews / clarifications.
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Act as technical lead on 2–3 AI projects, guide the team on architecture, design and best practices.
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Mentor junior AI engineers via code reviews, design discussions and technical coaching.
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Design with security, privacy and cost in mind, especially for data-sensitive domains (BFSI, healthcare, legal, HR).
Must-Have Experience Requirements
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5–6 years total experience, including 3+ years in AI / DL / NLP in production environments.
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Proven experience taking AI solutions from PoC to production (not just notebooks). Technical Skills
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Strong in Python and core CS fundamentals (data structures, algorithms, clean code).
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Hands-on with AI / NLP / LLMs – classification, NER, ǪA, summarization, document understanding.
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Experience with some of: PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex / spaCy.
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Built and deployed RESTful ML services / APIs integrated with web or mobile applications.
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Worked with Docker and CI/CD pipelines; experience of AWS or GCP.
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Good SǪL skills and experience with at least one RDBMS (PostgreSǪL/MySǪL).
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Understanding of MLOps in production – monitoring, logging, model versioning, rollback, performance C cost optimisation. Soft Skills
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Excellent spoken and written English; able to explain complex ideas to non- technical stakeholders.
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Comfortable interacting with international clients and leading requirement / review calls.
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Strong ownership mindset and ability to lead and mentor junior engineers.
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Willingness to work with partial US time-zone overlaps for key meetings when required. Good-to-Have
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Experience in Logistics, Legal, HR/Recruitment, Healthcare, BFSI, Education, Engineering/Plant drawings.
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Exposure to Vision Transformers / advanced CV for document layout and OCR enhancement.
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Experience with experiment tracking tools (MLflow, DVC, WCB, etc.).
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Exposure to security G compliance (CIS, SOC2, GDPR, HIPAA, PCI-DSS, ITIL).
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Experience with on-prem / VPC-isolated deployments and data-sensitive environments.
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Knowledge of a systems language (Go / Rust / C++ / Scala) is a plus, not mandatory.
Education
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Bachelor’s degree in Computer Science / Engineering / related field (mandatory).
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Master’s degree is a plus.
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