Agentic AI Developer (or AI Agent Engineer)

Job Title: Agentic AI Developer (or AI Agent Engineer) Location: Strongsville, OH/ Pittsburgh, PA/ Dallas, TX

12+ Months

Must have Skills: Digital: Python, AI Agents, LangChain, LangGraph, Azure AI Foundry Experience

Role Descriptions: An Agentic AI Developer (or AI Agent Engineer) focuses on building autonomous AI systems that operate with limited human supervision to achieve complex| goal-driven tasks. Unlike traditional AI engineers who focus on model accuracy (predictive AI)| agentic AI developers create systems that can plan| reason| use external tools| and take actions.

Key Responsibilities-

• Agentic System Design Architect| build| and optimize AI agents using multi-agent frameworks (e.g.| LangGraph| AutoGen| CrewAI).
• Reasoning Planning Implement advanced prompting strategies| such as chain-of-thought| reflection| and self-correction loops to enhance agent decision-making.
• Tool Integration Connect AI agents to APIs| databases| and third-party SaaS platforms to enable autonomous action-taking.
• Memory Context Design short-term and long-term memory systems (RAG| vector databases) so agents can maintain state and context over long-running workflows.
• Production Deployment Transition prototypes from research to production-ready systems| ensuring low latency| high accuracy| and observability (e.g.| using Amazon CloudWatch| LangSmith).
• Safety Governance Implement AI guardrails| human-in-the-loop approval steps| and audit trails to ensure ethical and secure operation.
• Strong Python proficiency is essential| along with experience in backend services such as Fast API Flask.
• AI Frameworks Hands-on experience is needed with LangChain| LangGraph| AutoGen| or CrewAI.
• LLM Expertise A deep understanding of prompting techniques| function calling| and context window management using models like GPT-4| Claude| or Gemini is required.
• Data Knowledge Proficiency in vector databases (e.g.| Pinecone| Chroma) and RAG pipelines is necessary.
• Software Engineering API integration| Docker| Kubernetes| and CICD pipelines are essential.
• The Agentic AI Developer will design| build| and operationalize governed AI agent systems that autonomously plan| reason| and execute complex workflows across enterprise data and risk platforms.
• This role focuses on developing multi agent| event driven AI solutions using Python|
• LangChain| LangGraph| and Azure AI Foundry| with strong emphasis on explainability| human in the loop control| and regulatory readiness
  

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project