Full-time
Active Hiring
4 weeks ago
Expires: May 08, 2026
Software AI Engineer
M
Micro1
Remote • Software Engineer
$150K - $400K/yr
4+ years
Remote
Full-time
Required Skills
LLMs
RAG
AWS
API development
Python
Description
Join our 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.
Requirements
- 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.
