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# AI Engineer Generative AI & RAG Systems (DS/ML)

- **Company:** Calance Consulting Corporation
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Continuous Integration, Data Governance, Python (Programming Language), Machine Learning, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Information Technology, Machine Learning Operations, Api Design, Software Version Control
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3f930c6f9b8a3a8b

## About the Role

* Bachelor's degree in Computer Science, Data Science, ML, or equivalent practical experience
 * 5+ years in software, data science, ML, or AI engineering with production-quality Python development
 * Hands-on experience building LLM applications, RAG systems, or agentic workflows using APIs
 * Strong grasp of testing, CI/CD, API design, documentation, and observability practices
 * Experience with embeddings, vector/hybrid search, and retrieval evaluation design

Other Skills:

 * Familiarity with LLM orchestration or agent-workflow platforms
 * Experience designing evaluation frameworks, guardrails, or prompt/version management
 * Knowledge of data governance, access control, and auditability standards
 * ML lifecycle support experience (feature documentation, model bootstrapping)

## Description

Join a high-impact AI Accelerator initiative as the hands-on engineer responsible for building the technical backbone of a governed generative AI ecosystem. You'll design secure multi-agent workflows, implement retrieval-augmented generation pipelines, and establish the evaluation frameworks that make AI outputs traceable, trustworthy, and enterprise-ready. Working in two-week agile sprints, you'll collaborate directly with Data Scientists, ML Engineers, Business Analysts, and SMEs to turn ambiguous business challenges into production-grade AI solutions. This is a rare opportunity to work at the intersection of generative AI engineering and responsible AI governance building systems that scale trust, not just technology., * Design and implement retrieval pipelines, metadata tagging, and quality checks for a governed knowledge base

 * Build secure multi-agent workflows combining LLM reasoning with deterministic logic and safe tool orchestration
 * Define agent roles, validation checkpoints, error handling, and human-in-the-loop review points
 * Create evaluation datasets and metrics covering relevance, grounding, correctness, and traceability
 * Develop reusable prompt, workflow, and orchestration patterns for cross-functional teams
 * Instrument agent performance tracking including latency, cost-to-serve, and revision effort
 * Deliver working increments each sprint and maintain a prioritized enhancement backlog
 * Apply secure development, Responsible AI, and data-governance practices throughout

Ideal Candidates Will Have:

 * A passion for building AI systems that are not just powerful, but accountable and explainable
 * Experience translating ambiguous business needs into testable, measurable technical requirements
 * A collaborative mindset for working across data science, engineering, and business stakeholder teams