Placer.ai · 9 hours ago
Engineering Director, GenAI Solutions
Placer.ai is transforming how organizations understand the physical world through its location analytics platform. The Engineering Director will lead the GenAI product solutions and development efforts, driving the technical vision and architecture of the AI-powered platform while overseeing full-stack development and ensuring scalability and performance.
AnalyticsArtificial Intelligence (AI)ConsumerGeospatialSoftware
Responsibilities
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
Qualification
Required
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
Benefits
Competitive salary.
Excellent benefits.
Company
Placer.ai
Placer.ai offers a traffic analytics platform that allows anyone to generate insights into any property.
H1B Sponsorship
Placer.ai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2023 (2)
2022 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$267.51MKey Investors
Spark Growth VenturesAkkadian VenturesJBV Capital
2024-07-23Series Unknown· $75M
2024-01-11Secondary Market
2022-07-01Series Unknown· $26.51M
Recent News
2025-11-08
2025-11-05
Company data provided by crunchbase