Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Gen AI Engineer
Lead
Generative AI
Python
LangChain
LangGraph
Machine Learning
Job Details
- Bachelor s or Master s degree in Computer Science, Software Engineering, or a related technical field
4+ years of experience in developing and deploying production-grade AI/ML or automation solutions
Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration
Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar
Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory
Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks
Solid foundation in distributed system design, including state management, retries, error handling, and resilience
Experience with business process automation or workflow automation in real-world environments
Comfortable working with SQL/NoSQL databases, including data modeling and validation
Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or Google Cloud Platform)
Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration
Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plusNice to Have
Contributions to open-source agent frameworks or AI tooling.
Experience working with observability and monitoring tools to track agent performance.
Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.