Job Responsibilities
- Experience designing and implementing cloud-based solutions (AWS Mandatory)
- Production experience with AWS Bedrock — model invocation, bedrock guardrails configuration, AI observability, RAGAS evaluation, and knowledge base integration
Required Skills:
- Hands-on experience building multi-agent workflows using LangGraph, CrewAI, AWS Bedrock Agents, or AgentCore
- Working knowledge of AWS orchestration services — Step Functions, EventBridge, SQS — for agent workflow coordination
- Designed and implemented RAG and data ingestion pipeline— chunking strategy, vector store (OpenSearch, Pinecone, pgvector) selection, retrieval quality tuning
- Experience with FastAPI or Flask for building AI microservices, exposure to React, JavaScript UI design
- Knowledge of containerization — Docker, Kubernetes, Amazon ECS/EKS
- Proficiency in AWS CDK or Terraform for infrastructure as code
- Familiarity with CI/CD pipelines — GitHub Actions, AWS CodePipeline, Jenkins
- Strong understanding of data engineering concepts — ETL, data lakes, streaming (Kinesis)
Required Education:
At least a Bachelor’s Degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems or closely related field is required.
Necessary Skills:: AWS, AI, LangGraph, RAG, AWS Bedrock.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified