AI / ML Engineer
$100,000–$200,000 year
On-siteAustin, Texas, United States
Job Summary
Design, implement, and optimize AI/ML models using LLMs, RAG, and prompt engineering for production-grade applications while developing multi-agent systems with LangChain and LangGraph. Integrate and deploy solutions in secure cloud environments including Amazon Web Services GovCloud, Google Cloud Platform, Microsoft Azure, Vertex AI, and AWS Bedrock. Build and maintain data pipelines, ETL processes, metadata catalogs, and ontologies to support high-quality AI data workflows. Develop REST APIs and SDK integrations, collaborate with cross-functional teams on secure coding and DevOps best practices, and document technical decisions for diverse stakeholders.
Required Qualifications
- Strong experience developing AI/ML solutions using Python, including integration with REST APIs and SDKs
- Hands-on experience designing and implementing solutions using LLMs, RAG systems, and prompt engineering in production environments
- Experience with multi-agent orchestration and frameworks such as LangChain and LangGraph
- Proven experience working with cloud AI platforms including Amazon Web Services GovCloud, Google Cloud Platform, Microsoft Azure, Vertex AI, and AWS Bedrock
- Experience building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes
- Strong understanding of secure coding practices and modern DevOps methodologies, including CI/CD pipelines
- Excellent collaboration, documentation, and communication skills when working with cross-functional teams
Desired Qualifications
- Experience with AI/agentic platforms such as Anthropic (Anthropic for Gov), OpenAI Enterprise, Gemini Enterprise, or xAI (Grok Enterprise)
- Knowledge of metadata catalog platforms (MCP) and advanced API development techniques
- Experience working in government or highly regulated cloud environments with an understanding of compliance and security standards
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