Agile Fuel | World-class Dedicated Engineering Teams
Python AI Engineer
Agile Fuel | World-class Dedicated Engineering Teams, Mountain View, California, us, 94039
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 OpenAI’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
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
#J-18808-Ljbffr
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 OpenAI’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
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
#J-18808-Ljbffr