Python - AI Engineer Contractor

PLEASE NOTE:

• It is a 100% Onsite position in Dallas, TX.

• Local Candidates preffered.

KEY REQUIRED SKILLS:

• Focus on building AI-driven solutions using Python, including LLMs, embeddings, knowledge graphs, and RAG architectures..

• Eligible Hacker Rank assessment.

JOB DESCRIPTION:

• Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.

• Develop autonomous AI agents using modern agentic frameworks.

• Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP).

• Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.

• Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.

• Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.

• Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.

• Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.

Requirements

REQUIRED SKILLS:

• Degree in Computer Science, AI/ML, or related field.

• 5+ years of AI/ML-focused software engineering experience.

• Production experience building LLM-based or agentic AI systems.

• Strong expertise in Python and modern AI frameworks.

• Experience with embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.

• Full-stack development experience (Python back end + modern front end).

• Experience deploying AI workloads to AWS, Azure, or GCP.

• Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.

• Strong problem-solving, communication, and collaboration skills.