Python - AI Engineer Contractor at Capco
Dallas, TX
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Jun 30, 2026
Dallas, TX
Jul 20, 2026
What this job asks for AI summary
An AI engineering role centred on building and shipping production-ready generative AI systems, including autonomous agents, GraphRAG pipelines, and enterprise LLM services. Day-to-day work spans designing REST APIs in Python, containerising and deploying AI workloads to cloud platforms, and implementing evaluation and observability frameworks. Suited to engineers with a solid track record of moving GenAI projects from prototype to production.
Senior level · 5+ years · Dallas-Fort Worth-Arlington, TX
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 170 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (software developers). range 50–310
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $136,221 (middle half $107,984–$167,709).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (4)
The role is onsite in either Dallas, TX or Charlotte, NC. The CBSA is reported as Dallas-Fort Worth-Arlington, TX (the first-listed location); Charlotte, NC (CBSA 16740) is an equally valid work location for this posting.
The degree requirement states 'Bachelor's degree… or equivalent practical experience', so no formal degree is hard-gated.
The agent framework requirement names LangGraph, Google ADK, CrewAI, AutoGen, and Semantic Kernel as interchangeable options — one of these (or similar) is required; alternatives are captured on the LangGraph skill entry.
LLMOps practices (CI/CD, prompt management, monitoring) and LLM evaluation tools (LangSmith, Ragas, DeepEval) appear under Preferred Qualifications and are marked accordingly.
Read the full posting
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