Overview
Join to apply for the
Python AI Engineer
role at
Agile Fuel | World-class Dedicated Engineering Teams .
Our client is an innovative AI startup that helps businesses assess and mitigate the financial risks associated with climate change. They leverage AI models and data analytics to provide actionable insights for strategic decision-making. The company operates fully remotely with a globally distributed team spanning US and UK time zones. They 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 with LLMs like OpenAIs 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
Experience with microservices architecture
Familiarity with serverless computing
Prior experience in ML model deployment
Benefits
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
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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