Agentic AI Developer
Software Engineering, Data Science
Irving, TX, USA
Key Focus:
This role is about bridging AI research with enterprise-scale deployment. The developer will:
Architect autonomous agent workflows with advanced reasoning and orchestration.
Integrate long-term and short-term memory systems for adaptive decision-making.
Build robust tool-use pipelines enabling agents to interact with APIs, databases, and enterprise systems.
Establish evaluation and monitoring frameworks to ensure reliability, scalability, and cost efficiency.
Required Qualifications:
Education & Experience
Bachelor’s or master’s degree in computer science, AI, Software Engineering, or equivalent practical experience.
1–2+ years of hands-on experience focused on LLM/AI applications.
Programming & Engineering:
Expert-level proficiency in Python
Strong background in asynchronous programming, microservices, Docker/Kubernetes, CI/CD, and unit/integration testing for AI systems.
Agent Frameworks
Demonstrated experience with LangGraph, CrewAI, Microsoft AutoGen, LlamaIndex Agents, or Semantic Kernel.
API & Tool Integration
Proven track record building RESTful APIs, OpenAPI specifications, function calling architectures, and model tool definitions.
Vector Databases & RAG
Hands-on experience with Pinecone, Qdrant, Milvus, Weaviate, or Chroma.
Expertise in hybrid retriever architectures for scalable memory and search.