Agentic AI Developer
Locations: Plano, TX / Columbus, OH
Job Type: Contract / Long-Term
Work Arrangement: Hybrid
Duration: Long-Term

Job Summary

Seeking an experienced Agentic AI Developer to design, develop, and deploy intelligent AI agents and enterprise-grade generative AI solutions. The ideal candidate will have strong hands-on experience with Python, LLMs, AI agents, RAG, prompt engineering, tool/function calling, and cloud-based AI platforms.

The candidate will work with engineering, data science, product, and architecture teams to build secure, scalable, and production-ready AI solutions for enterprise and financial-services use cases.

Key Responsibilities

• Design, develop, and deploy agentic AI applications using LLMs and modern AI frameworks.
• Build autonomous and semi-autonomous AI agents capable of reasoning, planning, decision-making, and executing tasks through tools and APIs.
• Develop multi-agent workflows and orchestration patterns for complex enterprise use cases.
• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Integrate LLMs with internal systems, APIs, databases, and enterprise applications.
• Develop tool/function calling capabilities that allow AI agents to interact with business systems.
• Work with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agentic AI frameworks.
• Develop prompt templates, system instructions, evaluation strategies, and guardrails for LLM applications.
• Implement vector search and embedding-based solutions using technologies such as Pinecone, OpenSearch, Azure AI Search, or similar platforms.
• Develop AI applications using Python and REST APIs.
• Integrate AI solutions with cloud platforms and enterprise infrastructure.
• Implement security, governance, observability, and responsible-AI practices for production AI applications.
• Monitor AI agent performance, latency, accuracy, reliability, and cost.
• Build automated testing and evaluation frameworks for LLM and agentic applications.
• Collaborate with architects, data engineers, product managers, and business stakeholders.
• Participate in code reviews, technical design sessions, and Agile development activities.

Required Skills

• Hands-on experience building Generative AI / LLM applications.
• Strong understanding of Agentic AI concepts and AI agent architectures.
• Experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
• Strong experience with Python and API development.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent frameworks.
• Strong understanding of RAG architecture.
• Experience with embeddings, vector databases, semantic search, and document retrieval.
• Experience implementing function/tool calling and API integrations.
• Strong knowledge of prompt engineering and LLM orchestration.
• Experience with REST APIs and microservices.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Git, CI/CD, testing, and production deployment.

Preferred Skills

• Experience developing multi-agent systems.
• Experience with Model Context Protocol (MCP) and MCP-based tool integrations.
• Experience with Google ADK, LangGraph, or similar agent orchestration frameworks.
• Experience with AWS services such as Bedrock, Lambda, S3, ECS/EKS, and OpenSearch.
• Experience with Kubernetes and Docker.
• Knowledge of AI/LLM security, governance, and responsible AI.
• Experience with LLM observability and evaluation tools.
• Experience with Kafka or event-driven architectures.
• Strong SQL and database knowledge.
• Experience in the banking/financial services domain.