Lead AI ML Engineer
Job Description
Job Posted On
10-11-2026 12:36:26
Job Code
Job_304998
Experience Required
8 - 12 years
Location
Job Title : Senior AI/ML Engineer – Generative AI & Document Intelligence
Location : Offshore (India)
Experience : 8-12+ Years
Customer : Patterson Companies
Employment Type : Full-Time
Role Summary
We are seeking a Senior AI/ML Engineer with deep expertise in Generative AI, Intelligent Document Processing, Large Language Models (LLMs), Vector Databases, and AI solution engineering.
The ideal candidate will have hands-on experience designing and implementing enterprise-grade AI solutions leveraging Google Document AI, Retrieval Augmented Generation (RAG), Vector Search, LLM orchestration frameworks, and continuous learning feedback loops.
This role will be instrumental in developing AI-powered document intelligence solutions, enterprise knowledge assistants, semantic search platforms, and business process automation capabilities.
Key Responsibilities
Generative AI Solution Development
Design, build, and deploy enterprise Generative AI solutions.
Develop AI-powered assistants, copilots, and knowledge retrieval systems.
Implement Retrieval Augmented Generation (RAG) architectures.
Integrate Large Language Models (LLMs) into enterprise applications.
Optimize prompts, retrieval strategies, and grounding mechanisms.
Build scalable AI services supporting production workloads.
Intelligent Document Processing
Design document ingestion and processing pipelines using Google Document AI.
Develop Solutions For
OCR
Document Classification
Data Extraction
Entity Recognition
Form Processing
Invoice Processing
Contract Intelligence
Build automated workflows to process structured and unstructured documents.
Vector Database & Semantic Search
Design and implement vector search solutions.
Generate and manage embeddings for enterprise knowledge repositories.
Build semantic search and contextual retrieval frameworks.
Optimize chunking, indexing, and ranking mechanisms.
Manage large-scale vector indexes and retrieval systems.
Continuous Learning & AI Optimization
Implement Human-in-the-Loop (HITL) feedback mechanisms.
Design continuous learning pipelines to improve AI responses.
Monitor AI model performance and user satisfaction metrics.
Build Evaluation Frameworks For
Hallucination Detection
Response Quality
Retrieval Accuracy
Grounding Effectiveness
Drive model refinement through feedback loops and usage analytics.
AI Platform Engineering
Develop scalable AI APIs and microservices.
Integrate AI services with enterprise applications.
Collaborate with Data Engineers and Full Stack Developers.
Support cloud-native AI deployments.
Establish AI governance, monitoring, and operational best practices.
10-11-2026 12:36:26
Job Code
Job_304998
Experience Required
8 - 12 years
Location
- Chennai, Tamil Nadu, India (CHN)
Job Title : Senior AI/ML Engineer – Generative AI & Document Intelligence
Location : Offshore (India)
Experience : 8-12+ Years
Customer : Patterson Companies
Employment Type : Full-Time
Role Summary
We are seeking a Senior AI/ML Engineer with deep expertise in Generative AI, Intelligent Document Processing, Large Language Models (LLMs), Vector Databases, and AI solution engineering.
The ideal candidate will have hands-on experience designing and implementing enterprise-grade AI solutions leveraging Google Document AI, Retrieval Augmented Generation (RAG), Vector Search, LLM orchestration frameworks, and continuous learning feedback loops.
This role will be instrumental in developing AI-powered document intelligence solutions, enterprise knowledge assistants, semantic search platforms, and business process automation capabilities.
Key Responsibilities
Generative AI Solution Development
Design, build, and deploy enterprise Generative AI solutions.
Develop AI-powered assistants, copilots, and knowledge retrieval systems.
Implement Retrieval Augmented Generation (RAG) architectures.
Integrate Large Language Models (LLMs) into enterprise applications.
Optimize prompts, retrieval strategies, and grounding mechanisms.
Build scalable AI services supporting production workloads.
Intelligent Document Processing
Design document ingestion and processing pipelines using Google Document AI.
Develop Solutions For
OCR
Document Classification
Data Extraction
Entity Recognition
Form Processing
Invoice Processing
Contract Intelligence
Build automated workflows to process structured and unstructured documents.
Vector Database & Semantic Search
Design and implement vector search solutions.
Generate and manage embeddings for enterprise knowledge repositories.
Build semantic search and contextual retrieval frameworks.
Optimize chunking, indexing, and ranking mechanisms.
Manage large-scale vector indexes and retrieval systems.
Continuous Learning & AI Optimization
Implement Human-in-the-Loop (HITL) feedback mechanisms.
Design continuous learning pipelines to improve AI responses.
Monitor AI model performance and user satisfaction metrics.
Build Evaluation Frameworks For
Hallucination Detection
Response Quality
Retrieval Accuracy
Grounding Effectiveness
Drive model refinement through feedback loops and usage analytics.
AI Platform Engineering
Develop scalable AI APIs and microservices.
Integrate AI services with enterprise applications.
Collaborate with Data Engineers and Full Stack Developers.
Support cloud-native AI deployments.
Establish AI governance, monitoring, and operational best practices.
More Info
Key Skills
Generative AI
Cloud-native AI deployments
Form Processing
Entity Recognition
Contract Intelligence
Google Document AI
Vector Databases
AI solution engineering
LLM orchestration frameworks
Document Classification
Human-in-the-Loop (HITL) feedback mechanisms
AI APIs
Intelligent Document Processing
Retrieval Augmented Generation (RAG)
Large Language Models (LLMs)
Contextual Retrieval
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