Python Ai Lead

Job Role: Python + AI Lead

Location: Dallas, TX (Hybrid)

Duration: 12+ Months

MINIMUM QUALIFICATIONS:

• 10+ Years of overall experience 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 in designing and consuming RESTful APIs and building scalable backend services.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Solid grounding in 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).
• Python | FastAPI / Flask | LLM & Agentic frameworks | Vector databases | Docker | CI/CD | Cloud (AWS / GCP / Azure) | MLOps/LLMOps tooling