Senior AI Agent Engineer

Rumor

. Build the AI agent backend using Python and FastAPI .

Posted 9/22/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI agent backends using Python and FastAPI, with strong capabilities in PostgreSQL database design and management. Proven ability to mentor developers, make architectural decisions, and ensure production application reliability through monitoring and incident handling.

Highest-signal resume keywords

Python Backend DevelopmentPostgreSQL Database DesignAI/LLM Feature DevelopmentReact and TypeScript DevelopmentMentoring and Technical Guidance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIPostgreSQLSQLReactTypeScriptAI/LLM DevelopmentCI/CDSecure Coding PracticesPerformance Tuning

Soft Skills

Technical CommunicationMentoringProblem SolvingCollaborationIncident Handling

Tools & Technologies

Claude CodeCursorGitHub CopilotMicrosoft AzureDocker

Industry Keywords

SaaS ApplicationsHR TechPayrollWorkforce ManagementSOC 2 Compliance

Tech Stack

Tools & technologies

AzureDockerPostgresPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Build the AI agent backend using Python and FastAPI
Work with LLMs, including prompts, tool/function calling, and structured outputs
Design and maintain PostgreSQL databases, queries, indexes, and migrations
Build user interfaces using React and TypeScript
Integrate the AI agent with internal APIs and third-party services
Use AI coding tools such as Claude Code, Cursor, or GitHub Copilot to improve development speed and productivity
Guide and mentor 1–3 developers through code reviews, planning, and technical guidance
Make technical and architecture decisions and explain them clearly to product and leadership teams
Set up and maintain testing, CI/CD, logging, and monitoring
Monitor the production system and handle technical issues and incidents
Track AI performance, response quality, speed, and usage costs
Improve prompts and AI logic as models and requirements change
Follow secure coding practices and protect customer and personal data
Continue developing new features and improvements after the product goes live

Requirements

What you’ll need

7+ years of professional software development experience
1–2+ years of experience building and supporting AI/LLM features in production
Strong experience with Python and backend API development
Strong knowledge of PostgreSQL, database design, SQL, indexing, and performance tuning
Good experience with React and TypeScript
Strong understanding of LLMs, prompt design, tool/function calling, retries, rate limits, and handling incorrect AI responses
Experience using AI coding tools such as Claude Code, Cursor, or Copilot
Experience leading or mentoring developers while continuing to code hands-on
Experience supporting production applications, including monitoring, incident handling, and root-cause analysis
Good written and spoken English
Preferred: experience with RAG, embeddings, and pgvector
Preferred: experience with LangGraph, Claude Agent SDK, or MCP
Preferred: experience with LLM testing, monitoring, and cost management
Preferred: knowledge of Microsoft Azure, Docker, and CI/CD
Preferred: experience with multi-tenant SaaS applications
Preferred: experience in staffing, HR tech, payroll, or workforce management
Preferred: knowledge of SOC 2 or similar security and compliance standards

Benefits

Comp & perks

Full-time employment
Remote work arrangement