Backend Engineer ID59360

AgileEngine • Downey, CA

23h • Hybrid

About The Position

As a Middle Backend Engineer, you’ll build the infrastructure that lets AI agents read, reason, and act on real energy data — connecting LLMs, APIs, and live data sources into production systems that run 24/7. This role involves high ownership, is early stage, and addresses a genuinely hard domain problem. It is ideal for someone who wants to build AI-native systems from the ground up with direct product impact.

Requirements

• 2+ years of experience building backend systems using Python and frameworks such as FastAPI
• Experience with Google Cloud Platform (GCP)
• Experience owning backend services end-to-end (APIs, integrations, deployments, monitoring)
• Strong skills in debugging and problem-solving
• Experience working with LLMs and AI tools (LangChain, OpenAI APIs, or similar)
• Ability to rapidly prototype and iterate solutions
• Ability to work independently and manage priorities
• Strong communication skills across technical and business stakeholders
• Comfort working in fast-paced environments
• Upper-intermediate English level

Nice To Haves

• Experience with Infrastructure as Code (Terraform)
• Experience in energy, fintech, or automation domains
• Experience with AWS

Responsibilities

• Build production backend systems connecting LLMs and coding agents with data and product APIs
• Design and deploy microservices using Python and optionally TypeScript
• Develop data connectors to external portals and public data sources
• Design backend infrastructure enabling AI agents to operate across data systems
• Ensure performance, scalability, and reliability of backend systems
• Implement observability and CI/CD pipelines for monitoring and maintenance
• Collaborate with cross-functional teams to translate business problems into technical solutions

Benefits

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees