[Remote] Senior AI Systems Engineer at Flock Safety

United States

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$170,000 – $210,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Public Safety, AIIndustries

Requirements

5+ years building and shipping ML/LLM systems to production
Experience with ML Inference (PyTorch, TensorRT, NVIDIA Triton), ideally in multimodal domains (text/image/video)
Experience with LLM Inference (LangChain/LangGraph, vLLM, OpenAI/Gemini/Anthropic APIs)
Experience with Compute orchestration (Kubernetes, Prefect, Ray)
Experience with Cloud Infrastructure (AWS, Terraform, VPC, Networking)
Experience with Observability (Prometheus, Grafana, OpenTelemetry, LangSmith/Langfuse)
Experience with Data (ClickHouse, Postgres, Redis)
Experience with Web services (Express/FastAPI, REST, SSE, JWTs)
Backend JS familiarity (e.g., NodeJS) required; Typescript and Python familiarity welcome
Hands-on experience with LLM agents including Agent Design: tool use (via MCP), retrieval, memory, grounding/attribution for claims, and guardrails
Experience with Architectural patterns: planning and hand-off for multi-agent systems, context management
Experience with RAG: vector/hybrid search (e.g., pgvector, turbopuffer, chroma), re-rankers (e.g., Cohere, JinaAI)
Experience building offline/online eval harnesses for LLM Evaluations at scale, familiar with methodologies and metrics for: Search, retrieval, and recommendation performance; Agentic task success, trajectory quality, preference learning (SFT, DPO, RLHF, LLM-as-judge); Safety & robustness (security, compliance, red-teaming, regression testing); Cost, performance and latency trade-offs

Responsibilities

Support emerging product Night Shift, an AI copilot automating tedious steps for investigators
Work within the Machine Learning team and closely with Engineering (Backend, Frontend, Design) partners in a fast-paced environment
Be one of the earliest technical contributors to system architecture for agentic AI
Own the AI evaluation framework
In first 30 days: Immerse in current system design and agent/tooling landscape; understand core customer use cases and data flows; support team by shipping quick wins (e.g., refining tool APIs, prompt engineering, fixing bugs)

Skills

Key technologies and capabilities for this role

PyTorchTensorRTNVIDIA TritonML InferenceLLM InferenceLangChainLangGraphvLLMOpenAIGeminimultimodal AI

Questions & Answers

Common questions about this position

What is the salary range for the Senior AI Systems Engineer position?

The salary range is $170K - $210K.

Is this position remote?

Yes, the position is remote.

What key skills are required for this role?

The role requires 5+ years building and shipping ML/LLM systems to production, with expertise in ML inference (PyTorch, TensorRT, NVIDIA Triton), LLM inference (LangChain/LangGraph, vLLM, OpenAI APIs), compute orchestration (Kubernetes, Prefect, Ray), and familiarity with agentic systems including agent design, architectural patterns, and RAG.

What is the company culture like at Flock Safety?

Flock Safety has a high-performance, low-ego team driven by urgency, collaboration, and bold thinking, where employees tackle big challenges, move fast, and continuously improve in an intense but rewarding environment.

What makes a strong candidate for this Senior AI Systems Engineer role?

Strong candidates have 5+ years of ML/LLM production experience, hands-on expertise in agentic systems, LLM evaluations at scale, and will own the AI evaluation framework as one of the earliest technical contributors to system architecture.

Flock Safety

License plate reader cameras for crime prevention

About Flock Safety

Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.

Atlanta, GeorgiaHeadquarters

2017Year Founded

$372.2MTotal Funding

SERIES_ECompany Stage

Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Unlimited PTO

12 paid holidays

Fully-paid health benefits

16 weeks of parental leave

Work from home allowance

Learning & development stipend

Home office stipend

Risks

Privacy concerns may lead to legal challenges affecting ALPR technology operations.

Integration of drone technology may increase operational costs and financial strain.

Economic downturns could reduce client spending on subscription-based services.

Differentiation

Flock Safety integrates ALPR cameras with AI for unbiased crime-solving data.

The company offers a full-service, maintenance-free technology solution for public safety.

Flock Safety's platform combines community power to enhance safety across cities and businesses.

Upsides

Acquisition of Aerodome enhances drone technology for public safety solutions.

Partnership with MS2 expands AI Traffic Analytics capabilities for state agencies.

Solar-Powered Condor video solutions increase market penetration in infrastructure-lacking areas.

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