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