AI/ML Engineer - AWS Bedrock & Agentic AIJob DescriptionWe are looking for an experienced
AI/ML Engineer with hands-on experience in
AWS Bedrock, LangChain, LangGraph, Claude Code, and Agent Builder. The candidate will work on building and integrating AI-powered applications, LLM solutions, and AI agents.
Key Responsibilities- Develop and implement AI/ML and Generative AI solutions using LLMs.
- Build applications and AI agents using AWS Bedrock.
- Develop RAG-based applications using LangChain and LangGraph.
- Design and implement AI agents, workflows, and multi-agent solutions.
- Work with Claude Code for AI-assisted development and application engineering.
- Build and configure AI agents using Agent Builder.
- Integrate LLMs with APIs, databases, enterprise applications, and other services.
- Develop prompt engineering, tool calling, memory, and agent workflows.
- Test, troubleshoot, and optimize AI/ML applications for performance and reliability.
- Collaborate with developers, architects, and business teams to deliver AI solutions.
Required Skills- Strong experience in AI/ML and Generative AI.
- Hands-on experience with AWS Bedrock.
- Strong experience with LangChain and LangGraph.
- Experience building AI Agents / Agentic AI solutions.
- Experience with Claude Code.
- Experience with Agent Builder.
- Good knowledge of LLMs, RAG, prompt engineering, embeddings, and vector databases.
- Strong Python development skills.
- Experience integrating REST APIs and enterprise systems.
- Good understanding of cloud-based AI/ML architectures.
Preferred- AWS experience with services such as Lambda, S3, API Gateway, ECS/EKS, or similar.
- Experience with multi-agent frameworks and AI orchestration.
- Experience deploying production-grade GenAI applications.
- Knowledge of AI/ML model evaluation, monitoring, and optimization.
Experience5+ years of overall experience, with strong hands-on experience in
AI/ML and Generative AI, including recent experience with
AWS Bedrock, LangChain, LangGraph, Claude Code, and Agent Builder.
