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Software AI Engineer

United StatesOnsiteFull TimePosted 2 months ago

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Job Title:
Software AI Engineer

Job Type:
Full-time, Contractual

Job Summary

Join our customer's team as a Software AI Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure. This position offers the unique opportunity to work at the intersection of applied AI research and high-impact, production-grade deployment, leveraging the latest in LLMs, RAG, and multi-agent systems.

Key Responsibilities

  • Design, build, and deploy advanced AI/ML solutions for government clients, ensuring robust and secure implementation at scale.
  • Collaborate with internal and external teams to architect and enhance AI-driven platforms, focusing on RAG, LLM orchestration, and multi-agent workflows.
  • Develop and maintain APIs, SDK integrations, and scalable pipelines, utilizing Python and RESTful best practices.
  • Leverage cloud platforms such as AWS GovCloud, Vertex AI, and AWS Bedrock to deliver secure, enterprise-grade solutions.
  • Implement data ontologies, metadata catalogs, and ETL pipelines to support advanced AI and analytics use cases.
  • Apply best practices in prompt engineering, LangGraph/LangChain, and tool integration for agentic AI systems.
  • Ensure clear, concise, and effective written and verbal communication across all collaborative efforts.

Required Skills and Qualifications

  • Proven experience with large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI techniques.
  • Expertise in Python development, REST API design, and secure coding principles.
  • Hands-on knowledge of AWS, and familiarity with other government cloud offerings (e.g., Google GovCloud, Azure IL5+).
  • Demonstrated ability to work with AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, and Grok Enterprise.
  • Strong background in building and maintaining robust data pipelines and ontologies.
  • Proficiency in CI/CD practices for deploying production AI/ML systems.
  • Exceptional written and verbal communication skills, with the ability to articulate complex concepts to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with advanced agent orchestration frameworks such as LangGraph and LangChain.
  • Background in secure, scalable government or enterprise deployments of AI/ML solutions.
  • Knowledge of metadata catalogs, MCP, and multi-cloud environments.
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