Remote opportunity at
Placer.aiSenior Software Engineer, Placer Intelligence
Placer.ai is seeking a Senior Software Engineer, Placer Intelligence to guide the technical direction and architecture of its AI-driven location analytics platform. Operating fully remotely, the…
Career Tools
About This Role
Placer.ai is seeking a Senior Software Engineer, Placer Intelligence to guide the technical direction and architecture of its AI-driven location analytics platform. Operating fully remotely, the company builds location intelligence tools used by thousands of customers, including Fortune 500 enterprises, nonprofits, and local governments. Recognized as a fast-growing tech firm and unicorn, Placer.ai relies on responsible data practices and privacy protection. This position is ideal for an experienced developer with…
Job Description
Placer.ai is seeking a Senior Software Engineer, Placer Intelligence to guide the technical direction and architecture of its AI-driven location analytics platform. Operating fully remotely, the company builds location intelligence tools used by thousands of customers, including Fortune 500 enterprises, nonprofits, and local governments. Recognized as a fast-growing tech firm and unicorn, Placer.ai relies on responsible data practices and privacy protection.
This position is ideal for an experienced developer with a strong background in generative artificial intelligence who wants to shape product solutions and build production-ready systems. The role involves managing full-stack development for conversational AI tools, integrating large language models, setting up real-time streaming interfaces, and establishing the foundation for next-generation business intelligence solutions. The ideal candidate pairs deep technical skills with high emotional intelligence, strong product sense, and a comfort with ambiguity.
Team members collaborate closely with product management, design, and end users to turn ambiguous requirements into concrete technical strategies. Key duties include designing APIs, data models, services, and user interfaces, implementing robust evaluation frameworks, and protecting features against hallucinations, prompt injection, and data leakage.
Responsibilities
- Collaborate with product and design teams to translate vague requirements into actionable technical plans
- Design and deploy production features across the entire technology stack including APIs, data models, services, and user interfaces
- Integrate LLMs, retrieval mechanisms, agents, and tool-calling flows equipped with scoped permissions and recovery protocols
- Construct evaluation frameworks derived from actual user queries to test model changes before release
- Safeguard AI functionalities against prompt leaks, personal data exposure, and incorrect answers
- Monitor production health, manage AI costs and latency, and debug using operational traces
- Utilize AI coding tools while maintaining ownership of code quality, testing, and reliability
- Conduct code reviews and mentor colleagues on effective AI workflow practices
Requirements
- Ten or more years of software engineering experience building customer-facing production products
- Full-stack proficiency with Python, FastAPI, React, TypeScript, relational databases, SQL, and containerized cloud services
- Proven system design expertise covering data modeling and scalable API creation
- Hands-on background deploying LLM features, handling failures, and structuring AI architectures
- Familiarity with AI-native workflows, systematic planning, and test-driven safeguards
- Strong product sense, clear communication abilities, and high emotional intelligence
- Ability to work independently and navigate ambiguous situations
Qualifications
- Demonstrated professional or personal use of AI tools to enhance efficiency and productivity
- Curiosity for discovering new methods to apply generative artificial intelligence to routine workflows
Core Skills
Benefits
- Competitive salary within the stated U.S. range
- Medical, dental, and vision coverage
- Flexible time off
- 401K plan
- Equity awards for eligible roles
- Sales-based commissions for certain positions
Frequently Asked Questions
Is this position remote?
Yes, this is a fully remote role with a global remote workforce.
What is the salary range for this job?
The annualized U.S. base pay range for this position is $160,000 to $190,000 USD, though actual pay varies based on factors like experience, education, and location. Additional compensation may include equity awards, 401K, and sales-based commissions for certain roles.
What level of experience is required?
Candidates must have 10 or more years of software engineering experience shipping customer-facing products in production, along with hands-on experience deploying LLM-powered features.
What employment type is this role?
The posting specifies full-time employment.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.