Engineering Director, GenAI Solutions

About Placer.ai

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits—to make smarter, data-driven decisions.

What sets us apart? We’ve built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market’s demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America’s fastest-growing tech companies. We’re creating a $100B+ market opportunity, and we’re just getting started.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast 500 company, we’re building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

We are seeking an experienced Director Engineer with deep GenAI expertise to lead our GenAI product solutions and development efforts. In this role, you will be responsible for driving the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand and leverage location data. You will oversee the full-stack development of our conversational AI system, from LLM integration and agentic workflows to real-time streaming interfaces, while establishing the technical foundation for our next-generation business intelligence tools.

If you are a technical leader with 10+ years of software development experience, proven success in production GenAI environments, and a passion for building scalable AI platforms that deliver measurable business impact, we want to hear from you.

• Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system.
• Establish technical roadmaps aligned with business objectives and scalability requirements.
• Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
• Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
• Oversee model deployment, fine-tuning, and optimization for production environments.
• Architect scalable microservices and cloud-native solutions supporting real-time AI applications.
• Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• 10+ years of experience in software development, with 1+ years building production GenAI solutions in B2B SaaS environments.
• Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js; proven experience designing microservices architectures and deploying on cloud platforms (AWS, GCP, or Azure). Strong understanding of modern frontend technologies (React/Next.js, Type Script) and experience architecting full-stack applications with real-time data streaming and Web Socket integrations.
• Hands-on experience building and deploying LLM-powered applications using frameworks such as Lang Chain, Llama Index, and APIs from OpenAI, Anthropic, or open-source models.
• Experience implementing agentic AI architectures with tool calling, memory systems, and multi-step reasoning capabilities for complex business workflows.
• Demonstrated expertise in RAG (Retrieval-Augmented Generation) systems, vector databases (Pinecone, Weaviate, Chroma
  
  DB), and semantic search implementations.
• Strong foundation in data engineering: designing and optimizing data pipelines, ETL processes, and data infrastructure to support AI/ML workloads.
• Proven track record of taking GenAI models from prototype to production, including fine-tuning…