Flock Safety is seeking a Software Engineer III to build Night Shift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster. This role involves designing the chat interface, implementing backend orchestration for LLM interactions and tool calling, integrating with Flock’s data platform, and shaping the product in collaboration with ML, platform, and product teams.
What You'll Do
- Design and implement the conversational interface for Night Shift
- Build the orchestration backend that manages LLM interactions and tool calling
- Develop integration pipelines connecting AI to Flock's existing data platform and APIs
- Shape chat experiences with complex context management
- Partner with platform teams to design new APIs or leverage existing ones
- Solve reliability challenges of deploying AI in high-stakes investigative workflows
- Collaborate with ML engineers on prompt engineering and agentic workflows
- Maintain a strong point of view on what makes a great user experience
- Onboard and familiarize with Flock's mission, investigative workflows, and customer platform usage
- Pair with engineers across Cloud Software and ML teams to understand APIs, data models, and system architecture
- Build relationships with key stakeholders including Machine Learning, Data Engineering, Platform, Product, and Design teams
- Complete a first-day push to production
- Pick up initial sprint tickets such as bug fixes, small UX improvements, or API integrations
- Participate in customer feedback sessions to understand investigator workflows and pain points
- Deliver core conversational UI components and establish patterns for chat interfaces
- Implement backend orchestration for LLM interactions and tool calling
- Stand up observability for the AI system including logging, tracing, and basic metrics
- Work with ML team to integrate agentic workflows and refine prompt strategies
- Own end-to-end features connecting UI, backend orchestration, and data integrations
- Collaborate with Product to rapidly iterate based on early user testing
- Propose technical improvements to chat quality, performance, or reliability
- Lead development of a core Night Shift capability that improves investigator efficiency
- Represent the team in cross-functional initiatives balancing zero-to-one experimentation with engineering best practices
- Establish patterns for testing and quality in an evolving AI product
- Influence product roadmap through technical insights and customer feedback
- Mentor team members on LLM integration patterns or full-stack best practices
- Own a domain area such as conversation management, data grounding, or streaming architecture
What We're Looking For
- Love for coding and continuous learning, especially in the rapidly evolving LLM space
- Resourceful problem-solver mindset: excel in ambiguous situations and take initiative to define product direction
- Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)
- Modern web framework expertise (React / TypeScript preferred), particularly for conversational UI and chat interfaces
- Hands-on LLM experience: OpenAI/Anthropic/Gemini APIs, prompt engineering, streaming responses, and conversation context management
- Familiarity with agentic patterns: function calling, tool use (MCP), and orchestrating multi-step workflows
- API integration skills: consume existing APIs or design new ones to ground AI in investigative data
- Database confidence: PostgreSQL and sophisticated SQL for data retrieval
- Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)
- Product-minded: translate user feedback into technical requirements and make pragmatic tradeoffs
Nice to Have
- LLM evaluation tools (LangSmith, Langfuse)
- Vector search/RAG
- Microservices architecture
- Terraform
Technical Stack
- TypeScript
- Node
- Express
- React
- REST
- SSE
- WebSockets
- OpenAI API
- Anthropic API
- Gemini API
- PostgreSQL
- Docker
- Kubernetes
- Helm
- AWS S3
- AWS SQS
- AWS API Gateway
- LangSmith
- Langfuse
- Vector search
- RAG
- Microservices
- Terraform
Team & Environment
- Cross-functional collaboration with Machine Learning, Data Engineering, Platform, Product, and Design teams
Benefits & Compensation
- Flexible PTO: plus 11 company holidays
- Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match
- 12 weeks of 100% paid parental leave
- Birthing parents eligible for additional 6-8 weeks of physical recovery time
- $50,000-lifetime maximum benefit for eligible adoption, surrogacy, or fertility expenses via Maven
- Spring Health: therapy, coaching, medication management, and digital tools for mental health
- Caregiver support via Cariloop
- 1:1 sessions with Equity Tax Advisors via Carta Tax Advisor
- ERGs: Women of Flock, Flock Proud, and Melanin Motion
- $150 per month WFH stipend
- $300 per year productivity stipend for Audible, Calm, Masterclass, Duolingo, Grammarly, etc.
- One-time $750 home office stipend
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together. If you need assistance or an accommodation due to a disability, please email us at [email protected].
