Posted April 10, 2026, closed May 19, 2026. Check out similar open roles below.
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This role involves designing and implementing sophisticated multi-agent systems that can operate autonomously and collaboratively, making it ideal for an experienced engineer with a passion for artificial intelligence and a knack for complex problem-solving.
Original posting from Jobs via Dice via LinkedIn
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Atika Tech, is seeking the following. Apply via Dice today!
Position: Agentic AI Engineer
Location: Chicago, IL
Duration: 12+ Months
Key Responsibilities
Architecture & Design: Lead the design and implementation of stateful, multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.
Agent Orchestration: Develop robust reasoning loops (e.g., ReAct, Chain-of-Thought) and manage complex state, memory, and task hand-offs between specialized agents.
System Integration: Build secure interfaces (e.g., using Model Context Protocol (MCP)) to connect agents with enterprise APIs, databases, and external tools.
Production Excellence: Own the deployment, monitoring, and observability of agents in production using tools like Langfuse or LangSmith to trace reasoning and optimize performance.
Guardrails & Safety: Implement human-in-the-loop (HITL) mechanisms, input/output validation, and ethical guardrails to ensure agents operate safely and within regulatory boundaries.
Leadership: Mentor junior engineers, define coding standards for non-deterministic AI outputs, and drive the technical roadmap for agentic systems.
Required Technical Skills
Programming: Deep proficiency in Python and experience with backend frameworks like FastAPI.
AI Frameworks: Hands-on expertise in LangChain, LlamaIndex, and agent-specific orchestration patterns.
Data Systems: Strong knowledge of Vector Databases (e.g., Pinecone, Chroma), RAG architectures, and knowledge graphs.
Cloud & DevOps: Experience deploying AI workloads on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.
Evaluation: Proficiency in building automated evaluation harnesses (e.g., LLM-as-a-Judge) to measure accuracy and reduce hallucinations.
Qualifications
Experience: 5 8+ years in software engineering, with at least 2+ years focused on GenAI/Agentic AI implementations.
Education: Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field.
Leadership: Proven track record of leading complex technical projects and navigating ambiguous problem spaces.
Thanks & Regards,
Bhupender Singh
XL Impex Inc dba
Atika Technologies
5 Independence Way, Suite 300,
Princeton, NJ 08540
LinkedIn URL:
Source: Jobs via Dice careers (LinkedIn)