
Senior AI/ML Engineer (Agentic AI | Amazon Bedrock)
Highbridge Consulting · New York, NY
All reasons
- Open 94 days
In its favour
- Still listed on the employer's own board
Our client, a 3rd-generation management consulting firm. They are now looking to add to their team and are hiring a Senior AI/ML Engineer (Agentic AI | Amazon Bedrock)
Summary
Design and build enterprise-grade AI agents using Amazon Bedrock, Claude, RAG, and AgentCore. The role focuses on agent orchestration, prompt engineering, structured outputs, model evaluation, and production deployment of GenAI applications .
Must Have
- Amazon Bedrock (Claude Sonnet/Haiku/Opus)
- Agentic AI / AI Agents
- LangGraph and/or LangChain
- Prompt Engineering
- Python 3.13
- FastAPI
- Pydantic
- RAG Architecture
- OpenSearch (Vector Search)
- Bedrock Knowledge Bases
- Step Functions
- Structured Outputs / Tool Calling
- Model Evaluation & Hallucination Reduction
- AWS (S3, DynamoDB, IAM, Secrets Manager, boto3)
- Docker & Kubernetes (EKS)
- Git
Nice to Have
- Amazon Bedrock AgentCore
- Amazon Chronos-2
- Financial Planning / FP&A domain
- Knowledge of SEC reporting
- AWS ML Engineer Associate
- AWS Generative AI Developer Professional Certification
Immediate Responsibilities
- Develop and enhance enterprise AI agents using Amazon Bedrock.
- Build multi-agent workflows with LangGraph/LangChain.
- Design RAG pipelines using OpenSearch and Bedrock Knowledge Bases.
- Improve prompt quality, grounding, and citation accuracy.
- Migrate existing AI agents to Bedrock AgentCore.
- Implement tool calling, structured outputs, and evaluation frameworks.
- Optimize production AI applications for scalability and reliability.
Skills
- Bedrock
- Anthropic Claude
- Retrieval-Augmented Generation
- Prompt Engineering
- Generative AI
- LangGraph
- LangChain
- Python
- FastAPI
- Pydantic
- OpenSearch
- AWS Step Functions
- AWS
- S3
- DynamoDB
- IAM
- Secrets Manager
- Docker
- Kubernetes
- EKS
- Git
- Machine Learning
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