Lead AI Engineer (Agentic AI) - NC, TX

Job Description

Design and develop generative AI applications and agent-based solutions using frameworks like LangChain and ADK. Collaborate with architects to implement RAG pipelines, MLOps practices, and ensure the scalability and security of AI-enabled applications.

Requirements: Requires 5–10 years of software engineering experience with at least 2 years of strong Python development. Candidates must have hands-on experience with generative AI frameworks and a solid understanding of SDLC and cloud-native development.

Key Skills: Python, Generative AI, LangChain, Agent development kit, Agent-based architectures, SDLC, MLOps, LLMOps, Azure, GCP, OpenShift, DevOps, CI/CD, Infrastructure as code, Retrieval-augmented generation, Agile

Benefits: Medical, Dental, Vision, Life insurance, Disability insurance, Employee stock purchase program, 401k program, Health savings account, Employee assistance program, Corporate discount savings program, Training program, Certification prep, Career coaching