Infinity Constellation is a company that builds AI-powered platforms to streamline regulatory complexity. They are seeking an AI Engineer to join their forward-deployed team, where the role involves building AI-powered regulatory document processing systems and collaborating closely with clients to deliver technical solutions.
Responsibilities:
- Build and extend multi-agent AI pipelines for regulatory document analysis, gap identification, and pre-draft generation
- Work with export-controlled materials in a compliant environment
- Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j
- Integrate and orchestrate LLM calls for document processing workflows
- Collaborate with engineers and directly with clients to understand domain requirements and translate them into technical solutions
- Contribute to platform architecture as we modularize and scale our systems across multiple regulatory domains
Requirements:
- US citizen or permanent resident, physically located in the United States (non-negotiable)
- 3-5 years of software engineering experience with solid Python skills
- Experience with or strong interest in AI/LLM applications (agent pipelines, RAG, document processing)
- Comfort working with cloud services, preferably GCP (Cloud Run, BigQuery, Memorystore)
- Familiarity with relational or graph databases (Neo4j experience is a plus)
- Experience with Django or FastAPI
- Proactive and resourceful -- comfortable taking ownership of tasks while collaborating closely with team members
- Good communication skills for participating in client interactions alongside leadership
- Experience in regulated industries (energy, defense, healthcare, finance)
- Familiarity with energy or government regulatory frameworks
- DOE Q-clearance or ability to obtain one
- Experience with document processing pipelines (Scrapping, OCR, PDF extraction)
- Contributions to open-source AI/ML projects
- Experience with task queues and distributed processing