Senior AI/ML Engineer – GenAI & LLM

Job Title: Senior AI/ML Engineer – GenAI & LLM
Experience: 10+ Years
Employment Type: W2 only 

Job Description

We are looking for a highly skilled Senior AI/ML Engineer with strong experience in Generative AI, Large Language Models (LLMs), Machine Learning, Python, and cloud technologies. The ideal candidate will design, develop, and deploy scalable AI/ML solutions and work on enterprise-grade GenAI applications.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
• Develop and integrate LLM-powered applications, AI agents, and intelligent automation workflows.
• Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Develop scalable machine learning and AI services using Python.
• Work with frameworks such as LangChain and LangGraph to build LLM-based applications and agentic workflows.
• Develop and integrate REST APIs and backend services for AI/ML applications.
• Implement prompt engineering, model evaluation, monitoring, and optimization strategies.
• Work with vector databases such as Pinecone, FAISS, Weaviate, or similar technologies.
• Deploy and manage AI/ML solutions using AWS, Azure, or Google Cloud Platform.
• Containerize applications using Docker and support deployment using Kubernetes.
• Develop scalable and production-ready AI/ML pipelines.
• Collaborate with Data Scientists, Software Engineers, Product Managers, and other stakeholders.
• Implement testing, monitoring, logging, and performance optimization for AI/ML applications.
• Stay current with emerging GenAI, LLM, Agentic AI, and Machine Learning technologies.

Required Skills

• 10+ years of experience in AI/ML, Machine Learning, or Software Engineering.
• Strong programming experience with Python.
• Hands-on experience with Generative AI and LLM technologies.
• Strong understanding of RAG, embeddings, prompt engineering, and vector databases.
• Experience with LangChain, LangGraph, or similar LLM frameworks.
• Experience with OpenAI, Azure OpenAI, Gemini, Claude, or similar LLM platforms.
• Strong experience with REST APIs and microservices.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience with Docker and Kubernetes.
• Strong understanding of machine learning concepts and model development.
• Experience working with relational and/or NoSQL databases.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience building Agentic AI / AI Agent solutions.
• Experience with Fine-tuning, model evaluation, and LLM observability.
• Experience with MLOps and CI/CD pipelines.
• Experience with Terraform or Infrastructure as Code.
• Experience with distributed systems and cloud-native architectures.
• Experience with Pinecone, FAISS, Weaviate, PGVector, or similar vector databases.