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AI Software Engineer
Hyperproof. Design, deploy, and manage AI agents using modern agentic technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and managing AI agents, with a strong focus on backend development and integration of LLM-based features. Proficient in utilizing evaluation design patterns and performance metrics to enhance AI applications.
Highest-signal resume keywords
AI Agent DevelopmentPostgres Database ManagementREST API IntegrationAsynchronous ProgrammingClaude Code Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI Application DevelopmentBackend DevelopmentMeasurement of AI PerformanceVersion Control with GitHubAutomated TestingScalable Software DeliveryProgramming in PythonProgramming in Node.jsProgramming in TypeScript
Tools & Technologies
AzureAWSREST APIsGitHubQueueing SystemsSecurity ProtocolsDocument Summarization APIsIntelligent Search APIs
Industry Keywords
AI TechnologiesAgentic TechnologiesRAG PipelinesEvaluation Design PatternsConstraint Spaces
Tech Stack
Tools & technologiesAWSAzureJavaJavaScriptNode.jsPostgresPythonTypeScriptVoIPGo
About the role
Key responsibilities & impact- Design, deploy, and manage AI agents using modern agentic technologies
- Ensure robust agent performance within defined constraint spaces and safety guardrails
- Develop and manage complex RAG pipelines, tuning for high recall and precision
- Partner with product managers to translate industry requirements into technical specifications
- Use spec-driven development to build reliable AI features
- Integrate foundation models via APIs for document summarization and intelligent search
- Establish and apply evaluation design patterns to test, measure, and improve model outputs
- Design and code backend architecture using Postgres, REST APIs, queueing, storage systems, RBAC, encryption, and security
- Write automated tests and manage version control and collaborative workflows via GitHub
- Build monitoring and system health metrics
- Stay current with AI advancements and improve engineering practices
Requirements
What you’ll need- 4+ years of software engineering experience, including 18+ months working directly on AI-powered features, agents, or applications
- Deep, practical experience using Claude Code
- Hands-on experience building AI applications and integrating LLM-based features in production
- Strong familiarity with measurement of AI agent performance, including recall and precision metrics
- Proven ability to build and manage AI agents, with understanding of agent technologies, constraint spaces, and evaluation design patterns
- Strong proficiency in backend development
- Deep experience with Postgres and asynchronous programming
- Experience with Node.js, TypeScript, Python, Go, and/or Java
- Experience managing codebases and collaborative workflows using GitHub
- Experience working with REST APIs using JSON
- Experience delivering scalable, reliable, maintainable software
- Familiarity with Azure and/or AWS for deployment, debugging, and operations
- Bachelor's degree in computer science, mathematics, or a related field
- Availability to work during afternoon and evening hours in India Standard Time
- Valid phone number that is not a VOIP number
Benefits
Comp & perks- Annual compensation reviews + equity
- Unlimited PTO: strongly encouraged to unplug and recharge
- Health: coverage for medical, dental, and vision - employee and dependents
- 401K, which vests immediately, complete with a 4% company match
- 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
- Annual company in-person events and quarterly in-person connects
- $500 home office stipend - at the time of hire
- $100 quarterly paid wellness stipend
- Pet insurance discount
- Slack channel notifications turn off after 5 pm based on your time zone
- Two Hypercharge weeks of rest where we close company-wide (July & Dec)
- Annual company in-person events and quarterly in-person connects