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Python AI Engineer
Job description
Our client is an innovative AI startup that helps businesses assess and mitigate the financial risks associated with climate change. They leverage advanced AI models and data analytics to provide actionable insights for strategic decision-making.
The company operates fully remotely, with a globally distributed team primarily working across US and UK time zones. Despite being an early-stage startup, they already serve paying customers and continuously enhance their AI-driven solutions.
This is a fast-paced, high-impact environment where engineers take ownership, solve complex problems, and contribute to cutting-edge AI applications in climate risk assessment and financial modeling.
Responsibilities
- Develop, deploy, and maintain backend services and cloud infrastructure;
- Design and optimize databases (SQL & NoSQL) for performance and scalability;
- Build and manage ETL pipelines for data processing and transformation;
- Ensure API best practices, authentication, and security policies;
- Implement Infrastructure as Code (IaC) using Terraform;
- (Preferred) Integrate and optimize AI/LLM-powered applications;
- Collaborate with cross-functional teams to deliver high-quality solutions;
- Continuously learn and adapt to new technologies and best practices.
Requirements
- Strong programming skills in Python;
- Experience building and managing Cloud Functions and Cloud Run instances on GCP;
- Hands-on experience with Terraform for Infrastructure as Code (IaC);
- Experience with databases (SQL and NoSQL) and query optimization;
- Experience working with Pandas, Xarray, and other data science libraries to build ETL applications;
- Familiarity with data processing and transformation pipelines;
- Deep understanding of API best practices, including versioning, rate limiting, and security policies;
- Strong knowledge of authentication techniques such as OAuth, JWT, and API key management;
- Experience with row-level security and access control principles;
- Building and maintaining LLM-powered applications. Hands-on experience working with LLMs like Open AI’s GPT models, Claude, and Gemini;
- RAG techniques to enhance LLM capabilities;
- Implementing function calling in AI-driven applications and prompt engineering;
- Agent-based AI techniques and LLM orchestration frameworks;
- Both verbal and written Upper-Intermediate English level.
Bonus points for
- Experience with microservices architecture;
- Familiarity with serverless computing;
- Prior experience in ML model deployment.
We offer excellent benefits, including but not limited to
- People-oriented management without bureaucracy;
- Competitive compensation;
- Flexible schedule;
- 15 working days of annual paid vacation;
- Paid sick-leaves;
- Friendly and engaging professional team;
- Opportunities for self-realization, career, and professional growth;
- Accounting and legal support.
About the company
Job Location
Company Size
Our Story
Great ideas require great execution, and great execution requires a strong team of brilliant people working together to reach the common goal. As we started helping friends (and friends-of-friends) in the software industry build up their own teams based on these learnings, the results were phenomenal, and in 2015, we have launched Agile Fuel as a very selective, high-touch, boutique service to bring this approach to others as well. We know this very well, because we have walked the walk. Since the early 2000s, our two founders have worked for tech startups, giant software companies, and consulting firms in the Bay Area and beyond, and eventually founded a few companies of our own as well. One of them, a B2B enterprise SaaS company, has become a major player in its industry. The biggest key to our success in both building the core product and scaling the technical implementations was the ability, and the processes we have created, to hire the right people quickly and effectively, and integrate them into our team while retaining and growing our culture—all within the typical constraints of being a bootstrapped, and later venture-funded, startup. These people have been our biggest investment, our greatest value, and our main competitive advantage. We recruit and support high-quality dedicated engineering teams that work remotely from Europe and are tailored specifically to each client’s technical requirements, culture, and communication needs. We are stack-agnostic, because we focus on finding the right people for the specific needs, however commonplace or esoteric they may be. We take care of recruiting and everything else on the HR and administrative side of things, so you can focus on direct engineering management and preserving your team culture.