Senior Software Engineer

Placer.ai

. Work closely with product, design, and customers to shape what to build and how .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on building and shipping customer-facing products, particularly in AI-powered features and full-stack development. Proficient in system design, API design, and maintaining production health while ensuring reliability and security.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceFull-Stack Development: Python, React, TypeScriptLLM-Powered Features: Context Engineering, Prompts, RetrievalStrong System Design: Data Modeling, API DesignClear Communication with Technical and Non-Technical Stakeholders

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIReactTypeScriptSQLData ModelingAPI DesignLLM FeaturesContainerized ServicesAI System Architecture

Soft Skills

Strong Product SenseHigh EQClear CommunicationAbility to Work IndependentlyStakeholder Trust Maintenance

Tools & Technologies

Claude CodeCursorAI Coding ToolsMonitoring ToolsDebugging Tools

Industry Keywords

AI-Powered CapabilitiesProduction HealthPrompt Injection ProtectionPersonal-Data Leak PreventionModel Failure Handling

Tech Stack

Tools & technologies

CloudPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Work closely with product, design, and customers to shape what to build and how
Turn vague requirements into clear technical plans and adjust them as needed
Design, build, and ship production features across APIs, data models, services, and UI
Make architecture decisions balancing immediate speed with long-term maintainability
Build AI-powered capabilities including LLM features, retrieval, agents, and MCP tool-calling flows with scoped permissions and failure recovery
Build evaluations from real user questions before prompts or model changes ship
Protect AI features against prompt injection, personal-data leaks, and fabricated answers
Maintain production health through monitoring, tracing, debugging, and fixing reliability, cost, and latency issues
Use AI coding tools such as Claude Code or Cursor while owning quality, testing, and reliability
Raise engineering standards through code reviews, knowledge sharing, and workflow improvements

Requirements

What you’ll need

10+ years of software engineering, shipping customer-facing products in production
Strong full-stack fundamentals: Python (FastAPI or similar), React and TypeScript, relational databases and SQL, and shipping containerized services to the cloud
Strong system design: data modeling, API design, and production systems that remain reliable, fast, and secure as they grow
Hands-on experience shipping LLM-powered features: context engineering, prompts, retrieval, tools, memory, evals, model failure handling, and AI system architecture
AI-native workflow using tests as a safety net and evaluating AI output
Strong product sense
High EQ and ability to maintain stakeholder trust
Clear communication with technical and non-technical people
Comfortable working independently amid ambiguity
Drug-free workplace requirement
Nice to have: demonstrated use of AI tools professionally or personally
Nice to have: experience integrating generative AI into day-to-day workflows

Benefits

Comp & perks

Competitive salary
Excellent benefits
Fully remote
Medical, dental and vision coverage
Flexible time off
401K
Equity awards for certain roles
Opportunity to earn sales-based commissions for certain roles
Work with, and learn from, top-notch talent