C2C hiring
Position : GenAI Engineer
Location: Remote
Employment Type: Contract
Exp : 15+ years
Job description:
Required Technical Skills
Must Have
Strong backend engineering experience with Python or TypeScript.
Production experience with:
Agent orchestration
Tool calling
Workflow routing
Multi-agent chaining
Strong API and schema design experience.
Experience designing structured 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 deliver tested, 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-grade GenAI orchestration services using Python or TypeScript.
Build workflow routing, agent chaining, tool calling, and multi-agent orchestration capabilities.
Develop reusable agent tools, skills, workflows, and capability definitions.
Implement capability discovery mechanisms that identify the appropriate agent, tool, or skill for a user request.
Combine user intent, conversation history, screen context, workflow state, and filters into structured downstream agent requests.
Design robust API contracts and structured JSON schemas for 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 into grounded narratives, tables, charts, citations, and standardized response payloads.
Implement validation, error handling, observability, and resilience for production GenAI workflows.
Build and deploy GenAI services using AWS, Amazon Bedrock, and AgentCore.
Develop production-ready code with appropriate unit testing, integration testing, logging, monitoring, and CI/CD.
Collaborate with architects, product teams, data engineers, and AI engineers to evolve reusable GenAI application patterns.
To apply for this job email your details to harshith.bachupally@pantarsolutions.com