Python Lead with AI

Robotics Technologies; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Robotics Technologies LLC in Dallas seeks a senior software engineer with deep Python expertise to build and deploy AI/ML and LLM-powered systems. You will own the end-to-end lifecycle from data handling to monitoring, delivering scalable backend services and robust APIs in a fast-paced, collaborative environment.

Ideal candidates have 10+ years overall software experience, strong communication, and a proven track record with cloud platforms and modern MLOps tooling.

Qualifications

• 10+ years overall experience with 5+ years of professional software development and Python expertise.
• Proven track record delivering AI/ML or LLM-powered systems to production and lifecycle support.
• Experience with the AI Development Life Cycle: data handling, experimentation, deployment, and monitoring.
• Hands-on LLM app development: prompt engineering, RAG, and API integrations from major providers.
• Proficiency with RESTful APIs and scalable backend services.
• Cloud platforms (AWS/GCP/Azure) and containerization (Docker).
• Version control with Git and CI/CD workflows.
• Strong cross-functional communication across engineering, data, and product teams.

Skills

Python

AI/ML systems

LLM systems

RESTful APIs

CI/CD

Git

Cloud platforms

Docker

Communication

Tools

Kubernetes

Infrastructure as Code

Job description

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).

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.