Agile Fuel | World-class Dedicated Engineering Teams
AI Engineer
Agile Fuel | World-class Dedicated Engineering Teams, Mountain View, California, us, 94039
Overview
The open position is for an
AI Engineer
within the Quantitative Research Platform team at
Agile Fuel | World-class Dedicated Engineering Teams . The role requires strong experience in Python, AWS, and modern AI/ML techniques, particularly in agentic AI systems and prompt engineering. The engineer will work closely with quants, researchers, and traders to design and scale AI-powered infrastructure for trading models, risk analysis, and automated decision-making.
Responsibilities
Design, build, and maintain AI agents to support trading, risk, and research workflows;
Implement LLM-driven prompt engineering for data extraction, transformation, and knowledge integration;
Collaborate with Quant Researchers to translate trading strategies into AI-enabled systems;
Deploy and scale solutions on AWS cloud infrastructure with best practices in performance and security;
Develop pipelines for integrating market, fundamental, and alternative datasets into AI/ML workflows;
Partner with data engineers and software developers to integrate AI models into the Quantitative Research Platform;
Contribute to the development of multi-agent coordination frameworks to support automated decision-making in commodity trading.
Requirements
3–5 years of experience in AI/ML engineering or applied data science;
Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow, LangChain or similar);
Familiarity with MCP (Model Context Protocol) or similar orchestration frameworks;
Experience with AWS (EC2, S3, Lambda, SageMaker, Step Functions, etc.);
Hands-on expertise in agentic AI frameworks, multi-agent systems, or LLM orchestration;
Proficiency in Prompt Engineering for LLMs and workflow optimization;
Understanding of financial markets, quantitative research, or commodities trading (preferably base metals);
Strong software engineering background, including version control (Git), testing, and CI/CD;
At least an Intermediate English level (both spoken and written).
Bonus points
Background in quantitative finance or exposure to commodity trading;
Experience with reinforcement learning, optimization, or simulation frameworks;
Knowledge of data engineering workflows (ETL pipelines, data lakes, APIs);
Previous work in high-frequency or systematic trading environments.
Benefits
People-oriented management without bureaucracy;
Flexible schedule;
25 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
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
AI Engineer
within the Quantitative Research Platform team at
Agile Fuel | World-class Dedicated Engineering Teams . The role requires strong experience in Python, AWS, and modern AI/ML techniques, particularly in agentic AI systems and prompt engineering. The engineer will work closely with quants, researchers, and traders to design and scale AI-powered infrastructure for trading models, risk analysis, and automated decision-making.
Responsibilities
Design, build, and maintain AI agents to support trading, risk, and research workflows;
Implement LLM-driven prompt engineering for data extraction, transformation, and knowledge integration;
Collaborate with Quant Researchers to translate trading strategies into AI-enabled systems;
Deploy and scale solutions on AWS cloud infrastructure with best practices in performance and security;
Develop pipelines for integrating market, fundamental, and alternative datasets into AI/ML workflows;
Partner with data engineers and software developers to integrate AI models into the Quantitative Research Platform;
Contribute to the development of multi-agent coordination frameworks to support automated decision-making in commodity trading.
Requirements
3–5 years of experience in AI/ML engineering or applied data science;
Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow, LangChain or similar);
Familiarity with MCP (Model Context Protocol) or similar orchestration frameworks;
Experience with AWS (EC2, S3, Lambda, SageMaker, Step Functions, etc.);
Hands-on expertise in agentic AI frameworks, multi-agent systems, or LLM orchestration;
Proficiency in Prompt Engineering for LLMs and workflow optimization;
Understanding of financial markets, quantitative research, or commodities trading (preferably base metals);
Strong software engineering background, including version control (Git), testing, and CI/CD;
At least an Intermediate English level (both spoken and written).
Bonus points
Background in quantitative finance or exposure to commodity trading;
Experience with reinforcement learning, optimization, or simulation frameworks;
Knowledge of data engineering workflows (ETL pipelines, data lakes, APIs);
Previous work in high-frequency or systematic trading environments.
Benefits
People-oriented management without bureaucracy;
Flexible schedule;
25 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
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr