Generative AI Engineer (Python + LangGraph + LLM)

Job Title:Generative AI Engineer (Python + LangGraph + LLM)
Location: st. louis, mo

Job Description

We are seeking a highly skilled Generative AI Engineer with strong expertise in Python, LangGraph, and Large Language Models (LLMs) to design and develop cutting-edge AI-powered applications. The ideal candidate will have hands-on experience building intelligent workflows, AI agents, and enterprise Gen AI solutions using modern AI frameworks and cloud technologies.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python and LLM frameworks.
• Build AI agent workflows and orchestration pipelines using LangGraph and LangChain.
• Integrate Large Language Models such as GPT, Claude, Llama, Gemini, or other open-source models.
• Develop prompt engineering strategies and Retrieval-Augmented Generation (RAG) solutions.
• Collaborate with cross-functional teams to gather requirements and deliver AI-driven business solutions.
• Optimize model performance, scalability, and response quality.
• Work with APIs, vector databases, embeddings, and AI automation pipelines.
• Implement secure, scalable, and production-ready AI architectures.
• Participate in Agile ceremonies, code reviews, and technical discussions.

Required Skills

• Strong experience in Python development.
• Hands-on expertise with LangGraph and/or LangChain.
• Experience working with LLMs (Large Language Models) and Generative AI platforms.
• Strong understanding of AI agents, RAG pipelines, embeddings, and prompt engineering.
• Experience with OpenAI APIs, Hugging Face, Anthropic, or similar AI ecosystems.
• Knowledge of vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Experience with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP).
• Familiarity with Docker, Git, CI/CD, and Agile methodologies.
• Excellent analytical and problem-solving skills.

Preferred Qualifications

• Experience building enterprise AI chatbots or AI copilots.
• Knowledge of MLOps and AI deployment strategies.
• Exposure to NLP, transformers, and fine-tuning models.
• Prior experience in scalable AI product development.

Experience Required

• 6+ years of overall IT experience
• 2+ years of hands-on experience in Generative AI/LLM-based development

Nice to Have

• Experience with FastAPI, Streamlit, React, or AI frontend integrations
• Knowledge of Kubernetes and distributed AI systems
• AI/ML certifications are a plus

Soft Skills

• Strong communication and collaboration skills
• Ability to work in fast-paced Agile environments
• Self-driven and proactive mindset