LLM Engineer
micro1 · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Engineer LLMs and RAG for government initiatives.
- Develop multi-agent systems with LangGraph/LangChain.
- Deploy solutions on secure cloud environments.
- Build robust data pipelines and APIs.
- Collaborate on secure, scalable AI infrastructure.
About the role
About Us
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.
Job Summary
Join our team as a LLM Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure. You’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
Key Responsibilities
- Design, implement, and optimize AI/ML models, particularly leveraging LLMs, RAG, and prompt engineering for production-grade applications.
- Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
- Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
- Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
- Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
- Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
Required Skills and Qualifications
- Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
- Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
- Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
- Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
- Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
- Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
- Exceptional written and verbal communication skills for effective collaboration and documentation.
Preferred Qualifications
- Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
- Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
- Prior exposure to government or highly regulated cloud environments and compliance standards.
Key skills/competency
- LLM Engineering
- Python
- AI/ML Models
- RAG Systems
- Prompt Engineering
- Multi-agent Orchestration
- LangGraph
- LangChain
- Cloud AI Services
- DevOps Practices
Skills & topics
- LLM Engineer
- Python
- AI
- Machine Learning
- LLMs
- RAG
- Prompt Engineering
- LangGraph
- LangChain
- Cloud AI
- DevOps
- AWS GovCloud
- Google GovCloud
- Azure IL5+
How to get hired
- Tailor your resume: Highlight Python, LLM, RAG, and cloud experience.
- Showcase production experience: Emphasize deployed AI/ML models and APIs.
- Demonstrate cloud expertise: Detail work with AWS GovCloud, Google GovCloud, or Azure IL5+.
- Prepare for technical interviews: Brush up on LLMs, multi-agent systems, and CI/CD.
- Communicate your impact: Be ready to explain complex AI concepts clearly.
Technical preparation
Master Python for AI/ML development.,Build and deploy LLM/RAG production systems.,Practice LangGraph and LangChain multi-agent systems.,Familiarize with secure cloud AI services.
Behavioral questions
Describe a complex AI concept you explained.,How do you ensure secure coding practices?,Tell me about a challenging RAG implementation.,How do you collaborate with diverse teams?
Frequently asked questions
- What specific government initiatives does micro1's LLM Engineer contribute to?
- While specific government initiatives are confidential, as an LLM Engineer at micro1, you will be instrumental in driving mission-critical projects. Your work will directly support advanced AI systems used in secure, government-facing applications, leveraging your expertise in LLMs and RAG.
- What is the expected impact of an LLM Engineer at micro1 on their AI infrastructure?
- As an LLM Engineer at micro1, you will significantly enhance our proprietary AI infrastructure. You'll be responsible for designing, implementing, and optimizing LLM-based solutions, contributing to the development of cutting-edge AI systems and data platforms.
- Does micro1 offer opportunities for learning and growth in LLM technologies?
- Yes, micro1 encourages continuous learning. As an LLM Engineer, you will work with frontier AI platforms and the latest agentic AI tooling, providing ample opportunities to deepen your expertise in LLMs, RAG, and multi-agent orchestration.
- What kind of collaboration can I expect as an LLM Engineer at micro1?
- You can expect close collaboration with cross-functional experts, including product, security, and engineering teams. This collaborative environment ensures best-in-class delivery and adherence to secure coding and DevOps best practices.
- How does micro1 ensure the security of its AI/ML models and data pipelines?
- Security is paramount at micro1. The LLM Engineer role involves deploying solutions on secure cloud environments like AWS GovCloud and adhering to strict secure coding and DevOps practices, including CI/CD, to maintain data and model integrity.
- What are the opportunities for working with advanced AI/agentic platforms at micro1?
- The role specifically mentions leveraging frontier AI platforms and the latest in agentic AI tooling. Preferred qualifications include experience with platforms like Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise, indicating a focus on advanced solutions.