AI Agent Engineer – Backend Focus
Overview
Build the next generation of intelligent business applications as an AI Agent Engineer – Backend Focus . This role is ideal for a hands-on backend engineer who combines strong software engineering fundamentals with practical experience developing and deploying production-grade AI agents.
You’ll partner with product managers and domain experts to understand complex workflows, define success criteria, and transform business challenges into reliable agentic solutions. From designing multi-agent workflows and integrating tools to deploying scalable backend services and continuously improving production performance, you’ll own solutions from discovery through implementation and ongoing optimization.
Required Skills
- Approximately 7+ years of professional software engineering experience , with a focus on backend development and production systems.
- Approximately 2+ years of hands-on experience building AI agents or agent-powered production applications using code .
- Strong backend development experience with Python .
- Experience building REST APIs using FastAPI, Flask, or similar frameworks .
- Hands-on experience with:
- LLM APIs and SDKs
- AI agent frameworks
- Multi-agent orchestration
- Tool calling
- Context and state management
- Agent execution workflows
- Proven experience designing, developing, and deploying:
- Production-grade backend services
- REST APIs
- External and internal integrations
- Data models
- Strong understanding of system design, API design, algorithms, data structures, access control, and scalable application architecture.
- Experience building reliable agent workflows with retries, caching, error handling, evaluations, guardrails, and human-in-the-loop approvals.
- Experience integrating AI agents with business systems, internal platforms, APIs, and external tools.
- Experience with relational databases such as PostgreSQL, MySQL, or SQL Server .
- Understanding of schema design, joins, indexing, and query optimization.
- Experience with Git, code reviews, automated testing, CI/CD, production monitoring, and staged deployments.
- Ability to translate ambiguous requirements into clear technical designs and implementation plans.
- Demonstrated ownership of solutions from requirements discovery and workflow design through deployment and production support.
- Ability to communicate proactively, clarify requirements, collaborate with stakeholders, and work effectively through ambiguity.
- Ability to measure and improve outcomes such as time saved, errors reduced, and process efficiency.
Nice-to-Have Skills
- Frontend development experience with JavaScript ES6+ and React .
- Experience using Claude Code or other AI-assisted development tools.
- Experience with agent frameworks such as Google ADK or LangGraph .
- Experience developing Electron-based desktop applications .
- Knowledge of API documentation using Swagger/OpenAPI .
- Basic DevOps experience, including Docker and CI/CD .
- Experience writing and maintaining unit and integration tests.
- Experience monitoring and optimizing AI agents with real users and measurable production outcomes.
- Ability to determine when an AI agent is appropriate versus a simpler automation approach.
Preferred Education and Experience
- A bachelor’s degree or equivalent professional background in computer science, software engineering, or a related technical field is preferred; specific educational requirements were not provided.
- Approximately 7+ years of professional software engineering experience , including substantial backend development.
- Approximately 2+ years of experience building and deploying AI agents or agent-powered applications in production environments .
Other Requirements
- Location: Palo Alto, CA.
- Work arrangement: Remote or onsite status was not specified in the provided role details.
- Employment type: W2 only.
- Duration: 3 months.
- Start: ASAP.
