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# AI Engineer

- **Company:** Health, Inc
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $101,860.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Masking, Data Security, Software Debugging, Decision Support Systems, Graph Database, Identity and Access Management, Neo4j, Object-Oriented Software Development, Cloud Services, Software Requirements Analysis, Unstructured Data, Web Application Frameworks, Enterprise Data Management, Multithreading, Large Language Models, Multi-Agent Systems, AI Platforms, Information Technology, Data Pipelines, Api Management
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=754c2049238d49f1

## About the Role

+ Thorough knowledge of Python programming and object-oriented software patterns.
 + Thorough knowledge of modern AI frameworks, such as LangChain, LlamaIndex, and CrewAI, and cognitive orchestration architecture patterns.
 + Thorough knowledge of AI platforms and services offered by cloud service providers, such as Azure, AWS, and Google.
 + Thorough knowledge of vector and graph databases, such as Pinecone, Chroma, pgvector, and Neo4j, text embeddings, and semantic index optimization.
 + Thorough knowledge of enterprise data security regulations, data masking, and access management within state processing systems.
 * Skills:
*

 + Strong skill in configuring secure ETL/ELT pipelines to structure, clean, and securely ingest large sets of semi-structured and unstructured data.
 + Strong skill in building stateful, autonomous AI agents, establishing logic guardrails, and managing programmatic prompt lifecycles.
 + Strong skill in debugging asynchronous code flows, multi-threaded worker routines, and API call limits within complex codebases.
 * Abilities:
*

 + Ability to systematically benchmark AI systems for precision, context recall, safety, and toxicity using automated evaluation tools.
 + Ability to translate multi-agent AI patterns into clear technical flowcharts and data maps
 + Ability to provide technical guidance and support developers through complex pipeline refactoring assignments., * Graduation from an accredited four-year college or university with major coursework in computer science, data engineering, artificial intelligence, or a related field. Experience may substitute for education on a year-for-year basis.
 * Minimum of 4 years of experience in data engineering, programming, or supporting AI or LLM-based solutions.
 * preferred to have experience with AI or ML

## Description

Performs highly complex computer systems analysis and AI engineering work for the CTO team. Work involves designing, engineering, configuring, and implementing data pipelines, AI agents, orchestration workflows, retrieval patterns, reusable AI services, secure integrations, and automation capabilities that support enterprise modernization and responsible AI innovation. The position helps translate business and technical needs into scalable AI-enabled solutions by preparing governed data sources, developing reusable components, evaluating model and prompt performance, supporting secure access controls, and documenting repeatable implementation patterns. The position also supports responsible AI practices, solution monitoring, technical standards alignment, and collaboration with architecture, cloud, data, security, privacy, and application teams to deliver reliable, maintainable, and agency-owned enterprise technology capabilities.
Works under general supervision, with moderate latitude for the use of initiative and independent judgment., Designs, develops, and implements AI agents, orchestration workflows, reusable AI services, prompt management solutions, API integrations, and automation components using approved cloud services, Python frameworks, and AI toolchains to support modernization, service delivery improvement, and responsible AI innovation.

30%

Designs and modifies secure data ingestion structures, retrieval-augmented generation (RAG) vector stores, embeddings, semantic search patterns, metadata strategies, and automated processing pipelines to provide AI solutions with clean, structured, governed, and access-controlled agency data.

15%

Evaluates, tests, and tunes AI model performance, agent behavior constraints, prompt effectiveness, retrieval quality, guardrails, auditability, and solution reliability to support security, privacy, compliance, accessibility, and approved system requirements.

5%

Prepares technical documentation, implementation notes, architecture diagrams, data flow diagrams, operational runbooks, and decision support materials; provides technical guidance to staff and project teams on AI integration, reuse, supportability, and secure modernization practices.

5%

Performs other duties as assigned.


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