Job Location : Tampa Florida
Contract: 12+ Months
Onsite Opportunity
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Job Description:
- Context engineering — designing and managing what goes into each LLM call: memory retrieval, thread compression, knowledge injection, system prompt versioning, and per-turn context budgets to maximize signal and minimize noise.
- Harness engineering — building the agent execution harness: tool-call loops, retry/backoff, structured output validation, capability routing, and the test scaffolding that makes agent behavior deterministic and observable.
- AWS cloud platform — IAM, Secrets Manager, ECR, RDS (Aurora PostgreSQL), SQS/EventBridge for async knowledge pipelines, and CloudWatch for operational visibility.
- AWS AgentCore
- Amazon EKS — containerized deployment of FastAPI backend and Next.js frontend; Helm chart authoring, pod autoscaling, ingress configuration, and managing AgentCore sidecar/adapter connectivity within a cluster.
- MCP (Model Context Protocol)
- Knowledge governance patterns
- RAG & Knowledge Pipelines
- Human-in-the-loop design
- PostgreSQL + pgvector
- Next.js / TypeScript
- Cedar / ABAC
- Enterprise SSO
- Observability
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Education : At least a bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, Electronics Engineering, Information Systems, or a closely related field is required for the projectÂ
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If you are interested, please share your updated resume and let me know your availability for a quick discussion.
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Manasa Salla
Sr Technical Recruiter
I Tech US Inc
manasa.s@itechus.net