AI Engineer
Infinity Constellation · United States
- Hybrid
- Full-time
- $130,000 / year
- United States
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Job highlights
- Build AI pipelines for regulatory document analysis.
- Develop GraphRAG systems using Neo4j.
- Integrate and orchestrate LLM calls.
- Collaborate with clients and engineers.
- Work remotely within the US.
About the role
About Labrynth
Labrynth accelerates progress by streamlining regulatory complexity. We build AI-powered platforms that navigate complex regulations, generate audit-level documentation, and provide certainty -- not shortcuts. Our technology serves clients across heavily regulated industries including energy, compliance, and government permitting.
We operate as a forward-deployed engineering organization: small, high-velocity teams embedded directly with clients to rapidly discover needs and ship production-quality solutions.
About The Role
We are looking for an AI Engineer to join our forward-deployed team supporting clients in regulated industries. This role requires a US person physically based in the United States due to export control regulations governing certain client materials.
You will work closely with senior engineering to build and maintain AI-powered regulatory document processing and pre-drafting systems. You'll receive guidance while taking ownership of meaningful features and deliverables. You'll also have direct client exposure and the opportunity to grow rapidly in a high-impact environment.
What You'll Do
- 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
What We're Looking For
- 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
Nice to Have
- 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
What we offer
- High-impact work at the intersection of AI and critical regulatory space
- Small team with outsized influence -- your work directly shapes the product
- Modern AI-native development environment
- Accelerated growth path
- Remote-first within the US
Values We Hire For
- Character -- integrity and trustworthiness above all
- Competency -- evoking trust and reliably delivering
- Togetherness -- family-level support and alignment
- Impact -- meaningful outcomes over activity
- Commitment -- ownership and follow-through
Key skills/competency
- AI Engineering
- Python
- LLM Applications
- RAG
- Graph Databases
- Neo4j
- Cloud Services (GCP)
- Django/FastAPI
- Regulatory Document Processing
- Software Engineering
Skills & topics
- AI Engineer
- Python
- LLM
- RAG
- Neo4j
- GCP
- Django
- FastAPI
- Document Processing
- Regulatory Technology
How to get hired
- Research Labrynth's mission: Understand their focus on regulatory complexity and AI solutions.
- Tailor your resume: Highlight Python, AI/LLM experience, and cloud skills for AI Engineer roles.
- Showcase relevant projects: Detail any experience with RAG, Neo4j, or document processing pipelines.
- Prepare for client interaction: Emphasize communication and collaboration skills for client-facing roles.
- Confirm US location: Ensure you meet the US citizen/permanent resident requirement.
Technical preparation
Master Python for AI and backend development.,Build sample RAG and agent pipelines.,Practice GCP cloud service deployment.,Familiarize with Neo4j and Django/FastAPI.
Behavioral questions
Describe owning a complex feature end-to-end.,How do you handle client requirement ambiguity?,Share an example of proactive problem-solving.,How do you collaborate in a small, fast team?
Frequently asked questions
- What is the primary focus of an AI Engineer at Labrynth?
- As an AI Engineer at Labrynth, your primary focus will be on building and maintaining AI-powered platforms that streamline regulatory complexity. This involves developing multi-agent AI pipelines, improving GraphRAG-based knowledge retrieval systems, and integrating LLM calls for document processing, all within heavily regulated industries.
- What are the key technical skills required for the AI Engineer position at Labrynth?
- The key technical skills for this AI Engineer role include strong Python proficiency, experience or a strong interest in AI/LLM applications (agent pipelines, RAG, document processing), familiarity with cloud services (GCP preferred), and experience with graph databases like Neo4j. Experience with Django or FastAPI is also sought after.
- Is this AI Engineer role remote or on-site?
- This AI Engineer position is remote-first within the United States. However, candidates must be physically located in the United States and be a US citizen or permanent resident due to export control regulations.
- What kind of client interaction can I expect as an AI Engineer at Labrynth?
- As an AI Engineer at Labrynth, you will have direct client exposure. You will collaborate with engineers and clients to understand domain requirements and translate them into technical solutions, often participating in client interactions alongside leadership.
- What are the essential requirements for the AI Engineer role at Labrynth?
- The essential requirements for the AI Engineer role include being a US citizen or permanent resident physically located in the United States, having 3-5 years of software engineering experience with solid Python skills, and a demonstrated interest or experience in AI/LLM applications. A proactive and resourceful attitude is also crucial.
- How does Labrynth support the growth of its AI Engineers?
- Labrynth offers an accelerated growth path for its AI Engineers. You will have the opportunity to take ownership of meaningful features, receive guidance from senior engineering, and work in a high-impact environment with direct client exposure, fostering rapid professional development.
- What industries does Labrynth typically serve with its AI solutions?
- Labrynth serves clients across heavily regulated industries. This includes sectors such as energy, compliance, and government permitting, where navigating complex regulations and generating precise documentation is critical.
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