Principal Engineer, Placer.ai
GenAI Solutions
Location data analytics
Be an early applicant
Location data analytics
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To provide everyone access to large-scale consumer real-world behavior.
Role
Who you are
- 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
- 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, TypeScript) and experience architecting full-stack applications with real-time data streaming and WebSocket integrations
- Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, 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, ChromaDB), 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 LLMs, prompt engineering, and implementing guardrails for responsible AI
- Experience with MLOps practices: model versioning, A/B testing, monitoring model performance, and managing the full ML lifecycle in production environments
- Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams including product managers, data scientists, and stakeholders
What the job involves
- We are seeking an experienced Principal 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
- 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
Our take
Placer provides valuable insight into audiences and competition, by generating traffic analytics that enable companies to discover new business opportunities.
Measuring traffic can be a critical component in understanding audiences for companies of all sizes, and Placer offers an array of options in this area. The firm provides accurate foot traffic counts and dwell time, with a range of filtering options that help companies better understand demographics. Further data also helps companies deduce how promotions, holidays, seasonality, and events impact business.
Competitors include Shopperations, Return Rabbit, Promoboxx, Looklet, and Bravo Pawn Systems, but the array of insights provided by Placer, and its team of passionate experts, has set it aside in the marketplace. The company has reached $1B valuation following series C and VC funding in 2022. Further funding followed in 2024 that boosted the company to a $1.5 billion valuation helping to expand the platform and secure its leading position in a crowded market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2024
$75m
LATE VC
Jul 2022
$60m
LATE VC
Total funding: $301m
Company benefits
- Work with, and learn from, top-notch talent
- Competitive salary
- Excellent benefits
- Fully remote
Company HQ
Santa Cruz, CA
Leadership
Noam Ben-Zvi
(CEO)Studied Computer Science at Tel Aviv. Former Data Science Team Leader for Israel Defense Forces. Co-founder and Head of Product at BlueTail, before co-founding Placer in 2014.
Zohar Bar-Yehuda
(Chief Data Scientist)Gained a Computer Engineering degree at Ben-Gurion University. Formerly a System Architect at Verint, Senior Algorithm Developer at OrCam, before co-founding Placer in 2014.
Oded Fossfeld
(CTO)Studied Computer Science at Ben Gurion University. They worked as a Software Engineer at Shine, Lacoon Security and Check Point. Co-founded Placer in 2014.
Ofir Lemel
(CPO)Former Lieutenant in 8200 division of Israel Defense Forces. Co-founder at Juntos! and Roamie. Co-founded Placer in 2014.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 7 more jobs at Placer.ai