HCLTech is hiring: Artificial Intelligence Engineer in New York
HCLTech, New York, NY, United States
Job Description – AI Agent Engineer (Agent Building Team)
Role Overview
The AI Agent Engineer builds intelligent agents and AI‑powered business applications on top of the Enterprise AI Platform. This role focuses on agent orchestration, evaluation frameworks, RAG pipelines, and business workflow automation , ensuring agents perform reliably in production environments.
This is a hands‑on builder role , converting platform primitives into real‑world, outcome‑driven AI solutions.
Key Responsibilities
Agent Development & Orchestration
Design and build agents using AWS Bedrock AgentCore SDK, Strands SDK, and CrewAI
Develop robust agent logic using Python
Implement advanced agent orchestration patterns for multi‑agent workflows
Create custom tools, memory strategies, and agent behaviors
Evaluation & Quality Frameworks
Build agent and LLM evaluation frameworks to assess:
Task completion and success criteria
Implement automated evaluation pipelines and LLM‑based judging techniques
Build backend services using Python
Integrate agents with platform APIs and enterprise services
Develop frontend experiences using React JS and Node JS
Support production‑grade deployments and versioned releases
Troubleshoot complex agent behaviors and interactions
Use platform observability tools for debugging, tracing, and performance tuning
Optimize reliability, latency, and business outcomes
Platform & Security Consumption
Consume platform services including gateways, MCP tools, and identity systems
Follow enterprise security, compliance, and access control patterns
Work collaboratively with platform engineering teams
Required Skills & Experience
4+ years of Python development
Hands‑on experience with AI/LLM frameworks (CrewAI, LangChain, or equivalent)
Strong knowledge of RAG pipelines and evaluation methodologies
Full‑stack experience with React JS and backend services
Experience consuming REST / GraphQL / OAuth2 APIs securely
Strong debugging and observability skills for multi‑agent systems
Nice to Have
Financial services or enterprise domain experience
Previous CrewAI production deployments with custom tools and memory management
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Role Overview
The AI Agent Engineer builds intelligent agents and AI‑powered business applications on top of the Enterprise AI Platform. This role focuses on agent orchestration, evaluation frameworks, RAG pipelines, and business workflow automation , ensuring agents perform reliably in production environments.
This is a hands‑on builder role , converting platform primitives into real‑world, outcome‑driven AI solutions.
Key Responsibilities
Agent Development & Orchestration
Design and build agents using AWS Bedrock AgentCore SDK, Strands SDK, and CrewAI
Develop robust agent logic using Python
Implement advanced agent orchestration patterns for multi‑agent workflows
Create custom tools, memory strategies, and agent behaviors
Evaluation & Quality Frameworks
Build agent and LLM evaluation frameworks to assess:
Task completion and success criteria
Implement automated evaluation pipelines and LLM‑based judging techniques
Build backend services using Python
Integrate agents with platform APIs and enterprise services
Develop frontend experiences using React JS and Node JS
Support production‑grade deployments and versioned releases
Troubleshoot complex agent behaviors and interactions
Use platform observability tools for debugging, tracing, and performance tuning
Optimize reliability, latency, and business outcomes
Platform & Security Consumption
Consume platform services including gateways, MCP tools, and identity systems
Follow enterprise security, compliance, and access control patterns
Work collaboratively with platform engineering teams
Required Skills & Experience
4+ years of Python development
Hands‑on experience with AI/LLM frameworks (CrewAI, LangChain, or equivalent)
Strong knowledge of RAG pipelines and evaluation methodologies
Full‑stack experience with React JS and backend services
Experience consuming REST / GraphQL / OAuth2 APIs securely
Strong debugging and observability skills for multi‑agent systems
Nice to Have
Financial services or enterprise domain experience
Previous CrewAI production deployments with custom tools and memory management
#J-18808-Ljbffr