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Job description
GenAI Engineer
Location:Remote
Employment Type:Contract
Exp : 15+ years
Job description
Required Technical Skills
Must Have
Strong backend engineering experience withPython or TypeScript.
Production experience with:
Agent orchestration
Tool calling
Workflow routing
Multi-agent chaining
StrongAPI and schema designexperience.
Experience designingstructured JSON input/output contracts.
Experience combining:
User intent
Conversation history
Screen/workflow context
User filters
Application state
into structured agent requests.
Experience transforming GenAI/agent results into:
Grounded narratives
Tables
Charts
Citations
Consistent JSON/application responses
Hands-on experience building and deploying production GenAI services using:
AWS
Amazon Bedrock
AgentCore
Strong understanding of production software engineering practices.
Ability to independently delivertested, production-ready code with minimal guidance.
Key Technologies
Python
TypeScript
AWS
Amazon Bedrock
AgentCore
GenAI
LLMs
Agent Orchestration
Multi-Agent Systems
Tool Calling
Workflow
Routing
Capability Discovery
Agent Catalogs
Reusable Skills
MCP
API Design
JSON Schemas
RAG
Enterprise AI Applications
Key Responsibilities
Design and implement enterprise-gradeGenAI orchestration servicesusing Python or TypeScript.
Buildworkflow routing, agent chaining, tool calling, and multi-agent orchestrationcapabilities.
Develop reusableagent tools, skills, workflows, and capability definitions.
Implement capability discovery mechanisms that identify the appropriate agent, tool, or skill for a user request.
Combineuser intent, conversation history, screen context, workflow state, and filtersinto structured downstream agent requests.
Design robustAPI contracts and structured JSON schemasfor communication between application services, agents, tools, and data services.
Integrate existing agents and structured-data query capabilities into a unified GenAI application layer.
Transform agent responses intogrounded narratives, tables, charts, citations, and standardized response payloads.
Implement validation, error handling, observability, and resilience for production GenAI workflows.
Build and deploy GenAI services usingAWS, Amazon Bedrock, and AgentCore.
Develop production-ready code with appropriateunit testing, integration testing, logging, monitoring, and CI/CD.
Collaborate with architects, product teams, data engineers, and AI engineers to evolve reusable GenAI application patterns.
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Worksite address
newark, NJ, 07175, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.