Software Engineer, AI Systems

Haven Safety AI is hiring a Software Engineer, AI Systems to build and operate the AI and LLM engineering layer behind its safety intelligence products. The role focuses on production reasoning systems, agent orchestration, evidence retrieval, evaluation, and AI operations for safety-critical enterprise use.

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Responsibilities

• Production reasoning systems. Build and operate multi-step LLM pipelines that coordinate model calls, tool calls, graph queries, retrieval, quality gates, and specialist-agent handoffs
• Agent orchestration. Extend Haven’s coordinated agent team and the orchestration layer that carries an incident from evidence through analysis, review, and enterprise learning
• Grounding and retrieval. Design the context layer across Neo4j graph traversal, vector search, and hybrid retrieval so every model call receives the right evidence and organizational knowledge
• Evaluation. Build datasets, scoring, regression suites, model comparisons, human-label loops, and per-stage quality attribution for extraction and reasoning tasks
• Production AI operations. Implement tracing, tool-call audits, cost and latency monitoring, failure handling, and quality dashboards; catch loops, hallucinations, and silent drift before customers do
• Technical direction. Select models by task across OpenAI, Anthropic, and Google; partner with product and knowledge engineering; and help shape the AI roadmap

Preferred

• Strongly preferred
• Prior experience operating in an enterprise-level environment is strongly preferred

Benefits

• Remote work
• Work across meaningful reasoning problems in a domain where correctness matters.
• An evaluation-first culture focused on making quality measurable, observable, and improvable.
• Direct feedback from customers using the output.
• Small team, high ownership; work closely with the CTO, product, and knowledge engineering, make consequential technical decisions, and see your work reach customers quickly.
• Venture studio co-founding AI companies with partners.
• Mountain View, California, USA
• https://aifund.ai/
• Leadership Team
• Deepak Shrivastava
• Founder in Residence
• Eva Wang
• Partner, COO & GC
• Recent News
• Research & Development World
• Anthropic and OpenAI call for AI slowdown as Nvidia’s Jensen Huang and Andrew Ng push back
• 2026-09-18
• FinSMEs
• Gaia Dynamics Raises $7M in Seed Funding
• 2026-09-17
• Venture Capital Firms
• Gaia Dynamics Raises $7M to Expand AI Platform, Keeping Businesses Ahead of Tariffs and Trade Risk
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Qualifications

• AI or ML engineering, including shipping LLM systems that real users depend on
• Hands-on experience building and debugging multi-step, tool-calling workflows with LangGraph, LangChain, or an equivalent framework
• A repeatable approach to LLM evaluation, including representative datasets, regression testing, LLM-as-judge techniques, or human review loops
• Experience assembling context for LLMs and a clear point of view on what to retrieve, how much, and why
• A track record of owning systems from deployment through monitoring and incident response, including a strong story about a failure or regression you diagnosed and fixed
• Comfort working across model providers and explaining tradeoffs in quality, latency, cost, context, and operational risk
• Comfort with Neo4j and Cypher, or a comparable graph store, and the ability to ramp quickly on graph data modeling
• Production habits around FastAPI, asynchronous services, testing, observability, and maintainable interfaces are required
• Cypher fluency, schema evolution, MERGE patterns, embeddings, and operating a live knowledge graph
• Prompt-injection awareness, context-leak prevention, tenant isolation, role-based access, and policy-layer separation
• Experience running production AI services in Azure and using Azure AI Search, Pinecone, MongoDB Atlas, pgvector, Elasticsearch, or a similar platform
• Sponsorship will not be provided for this role
• Strongly preferred
• Prior experience operating in an enterprise-level environment is strongly preferred

Required skills

• Asynchronous Programming, Cypher, FastAPI, Information Retrieval, LLM Engineering, LLM Evaluation, LangChain, LangGraph, Neo4j, OpenAI, Anthropic, and Google model providers, Production AI Operations, Python

Preferred skills

• Strongly preferred