Python Developer

Position: Python + AI Lead Location: Dallas, TX (Hybrid) Minimum Qualifications · 10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise. · Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle. · Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring. · Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers. · Proficiency designing and consuming RESTful APIs and building scalable backend services. · Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker). · Solid grounding with version control (Git) and CI/CD workflows. · Strong communication skills and the ability to work across engineering, data, and product teams. Preferred Qualifications · Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks). · Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval. · Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores. · Experience with Kubernetes and infrastructure-as-code. · Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems. · Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow). Core Tech Stack Python · FastAPI / Flask · LLM & Agentic frameworks · Vector databases · Docker · CI/CD · Cloud (AWS / GCP / Azure) · MLOps/LLMOps tooling