Summary
✨ AI‑Generated
Build scalable AI-powered applications as a Python-focused GenAI engineer. You will develop LLM and RAG solutions, AI agents, APIs, retrieval and evaluation pipelines, and integrations with leading model platforms. The role combines strong backend engineering with practical Generative AI delivery across modern cloud environments.
Highlights
Hands-on work with modern Generative AI, LLMs, RAG, AI agents, scalable APIs, vector databases, and cloud deployment, with collaboration across data science, machine learning, and product teams.
Description
Python GenAI Engineer
Location: Irving TX (Hybrid)
Experience: 5+ Years
Job Summary
We are looking for a Python GenAI Engineer to build and integrate AI-powered applications using Python, LLMs, and modern Generative AI technologies.
The ideal candidate should have strong backend development skills and hands-on experience with LLM-based solutions.
Key Responsibilities
Develop scalable GenAI applications and APIs using Python.Build solutions using LLMs, RAG, prompt engineering, and AI agents.Integrate models from platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Hugging Face.Develop and optimize REST APIs and microservices using FastAPI or Flask.Work with vector databases such as Pinecone, FAISS, Chroma, or Azure AI Search.Implement data ingestion, embeddings, chunking, retrieval, and evaluation pipelines.Collaborate with Data Scientists, ML Engineers, and Product teams to deliver AI solutions.Deploy and monitor GenAI applications in AWS, Azure, or GCP.Required Skills
Strong Python development experience.Hands-on experience with Generative AI / LLMs.Experience with RAG, LangChain, LlamaIndex, prompt engineering, and embeddings.Strong knowledge of REST APIs, FastAPI/Flask, JSON, and microservices.Experience with SQL and NoSQL databases.Experience with vector databases/search technologies.Knowledge of Docker, Git, CI/CD, and cloud platforms.Understanding of AI/ML concepts and model evaluation.Nice to Have
Experience building AI Agents / Agentic AI solutions.Experience with MCP, function calling, or tool use.Knowledge of Azure OpenAI, AWS Bedrock, or Google Vertex AI.Experience with Kubernetes and cloud-native deployments.Experience with enterprise GenAI security, governance, and responsible AI.
