Staff AI Systems Engineer

Staff AI Systems Engineer WHO IS FLOCK? Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact. With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you. THE OPPORTUNITY We’re hiring a Staff. AI Systems Engineer to help support our emerging product, Night Shift, an AI research assistant that amplifies the impact of investigators by automating the tedious, repetitive steps involved in working a case. This role sits within the Machine Learning team and will work closely with partners in Engineering (Backend, Frontend, and Design) in a fast-paced environment. You will be one of the earliest technical contributors to our system architecture for agentic AI, and will own our AI evaluation framework. The outcome we’re after is clear and ambitious: measurably faster, more accurate leads for every officer and every shift. THE SKILLSET Familiarity with Agentic Systems: Hands-on experience with LLM agents including: - LLM API use (e.g. LangChain/LangGraph, vLLM, OpenAI/Gemini/Anthropic APIs) - Agent Design: tool use (e.g. via MCP), retrieval, memory, grounding/attribution for claims, and guardrails. - Architectural patterns: planning and hand-off for multi-agent systems, context management - RAG: vector/hybrid search (e.g. pgvector, turbopuffer, rerankers, etc.) ML Platform expertise: 5+ years building and shipping ML systems to production; experience in the following areas: - Backend Python and JS familiarity required; Typescript/Golang familiarity welcome - Web services (e.g. Express/FastAPI, REST, SSE, JWTs) - Cloud Infrastructure (e.g. AWS, Terraform, VPC, Networking) - Backend databases/stores (e.g. Postgres, Redis) - Observability (e.g. Prometheus, Grafana, OpenTelemetry, LangSmith/Langfuse) - [Preferred] Durable execution (e.g. Temporal, Hatchet) - [Preferred] OLAP (e.g. ClickHouse, Bigquery) - [Preferred] ML Inference (e.g. PyTorch, TensorRT, NVIDIA Triton), ideally in multimodal domains (text/image/video) - [Preferred] Compute orchestration (e.g. Kubernetes, Prefect, Ray) Experience with LLM Evaluations at scale: You’ve built offline/online eval harnesses and are familiar with the methodologies and metrics to measure: - Search, retrieval, and recommendation performance - Safety & robustness (security, compliance, red-teaming, regression testing) - Cost, performance and latency trade-offs - [Preferred] Agentic task success, trajectory quality, preference learning (e.g. SFT, DPO, RLHF, LLM-as-judge) Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. 90 DAYS AT FLOCK We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe 90 day plans and believe that good days lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety. The First 30 Days - Immerse yourself in the cu ... (truncated, view full listing at source)