Python + AI Lead

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, Google Cloud Platform, 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 / Google Cloud Platform / Azure) · MLOps/LLMOps tooling