Senior AI Engineer

Metatron HR Solutions; Chennai; Presencial; INR 1.620.000 - 1.980.000; Jornada completa

Descripción de la vacante

Metatron HR Solutions is seeking a Senior AI Engineer to own end-to-end AI solution development, lead technical initiatives, and collaborate with stakeholders in India and the US. This hands-on leadership role involves designing, developing, deploying, and monitoring production-ready AI systems.

Location is Ambattur, Chennai with on-site work from the office. Up to ₹18 LPA, based on experience and technical expertise.

Formación

• 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).

Responsabilidades

• 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).

Conocimientos

Python

AI/NLP

LLMs

REST APIs

Docker

AWS/GCP

SQL

Educación

Bachelor's degree in CS/Engineering

Master's degree preferred

Herramientas

PyTorch

TensorFlow

Hugging Face

LangChain

LlamaIndex

spaCy

Descripción del empleo

Metatron HR Solutions is hiring a Senior AI Engineer on behalf of one of our esteemed clients, a US-headquartered IT services and technology solutions company with a development centre in Chennai.

Our client specializes in delivering custom software applications, AI/ML solutions, and enterprise technology services to global customers across industries including BFSI, healthcare, logistics, legal, and education. Their AI initiatives focus on Generative AI, LLM-based applications, Document AI, intelligent automation, and enterprise-grade AI solutions.

We are looking for a technically strong Senior AI Engineer who can take ownership of end-to-end AI solution development, lead technical initiatives, and work closely with stakeholders in India and the US. This is a hands‑on technical leadership opportunity involving the design, development, deployment, and monitoring of production‑ready AI systems.

• Job Location: Ambattur, Chennai
• Work Mode: On-site (Work from Office)
• Employment Type: Full-time
• Compensation: Up to ₹18 LPA (based on relevant experience and technical expertise)

Role Summary :

• 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.

If you meet the above requirements and are looking for an opportunity to work on cutting‑edge AI technologies, we'd love to hear from you!

Only shortlisted candidates will be contacted for further discussions.