What you will do
- 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.
Must haves
- 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.
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. High ownership, early stage, genuinely hard domain problem. If you want to build AI-native systems from the ground up with direct product impact, this is for you.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
