AI/ML Engineer (Generative AI & Agentic AI)

We are looking for an experienced AI/ML Engineer with expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AWS AI Services. The ideal candidate will design, develop, and deploy enterprise-grade AI solutions using Amazon Bedrock, SageMaker, Lambda, LangChain, and LangGraph while building intelligent applications powered by foundation models such as Claude.

The candidate should possess strong hands-on experience in prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent orchestration, model evaluation, and cloud-native AI architectures.

Key Responsibilities

• Design and deploy scalable AI/ML and Generative AI solutions on AWS.
• Develop Agentic AI applications using LangChain and LangGraph.
• Build multi-agent workflows and orchestration frameworks.
• Develop LLM-powered applications using Claude and other foundation models.
• Implement prompt engineering, RAG, embeddings, and model evaluation frameworks.
• Integrate AI services with enterprise applications and APIs.
• Build secure, scalable, and high-performance AI systems.
• Collaborate with business and engineering teams to define AI use cases and architectures.
• Provide technical guidance and mentorship on AI/ML best practices.
• Drive AI innovation through adoption of emerging tools and frameworks.

Required Skills

• 5-10 years of AI/ML engineering experience.
  
• Strong expertise in:
  
• Amazon Bedrock
• SageMaker
• AWS Lambda
• Python
• Hands-on experience with:
  
• LangChain
• LangGraph
• Agentic AI Frameworks
• Strong knowledge of:
  
• LLMs
• Prompt Engineering
• RAG
• Model Evaluation
• Experience integrating AI solutions with enterprise systems and APIs.
  
• Understanding of AI security, governance, and performance optimization.
  
• Experience working in Agile environments.
  

Preferred Skills

• Vector Databases (Pinecone, FAISS, OpenSearch).
• Multi-Agent Architectures.
• MLOps & LLMOps.
• Responsible AI Frameworks.
• AI Governance.
• AWS AI/ML Certifications.