Fuel Cycle
Join us as a
Senior Python/AI Engineer
at
Fuel Cycle . About Fuel Cycle : Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights — fast, flexible, and fully integrated. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale. Why work at Fuel Cycle ? Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Overview
We are seeking a
Senior Python Engineer
with deep expertise in AI-driven applications, passionate about applying cutting-edge techniques like Large Language Models (LLMs), Convolutional Neural Networks (CNNs), and advanced data processing pipelines to solve real-world problems in information processing. Key Responsibilities
AI-Driven Application Development: Design and build intelligent applications that leverage LLMs and CNNs for text, image, or multimodal data processing. Information Processing & Data Engineering: Develop efficient pipelines for extracting, structuring, and analyzing large, unstructured datasets. Scalable Backend Systems: Build robust APIs with FastAPI/Flask, integrate AI models into production, and create interactive prototypes with Streamlit. Cloud & DevOps: Containerize and deploy AI-enabled applications on AWS with Docker. Cross-Functional Collaboration: Work with data scientists, AI researchers, and product leaders to translate business problems into AI-powered solutions. Continuous Innovation: Explore and integrate emerging ML architectures and frameworks to push the boundaries of what’s possible. Your Success Metrics
Deliver AI-first features that significantly improve information extraction, summarization, and decision-making workflows. Achieve smooth integration of LLMs and CNNs into production-ready pipelines. Ensure high performance and reliability of cloud-deployed applications. Contribute to a culture of technical excellence, code quality, and innovation. Core Skills, Competencies & Attributes
Technical Excellence: Strong expertise in Python, FastAPI/Flask, Streamlit, pandas, numpy, Vector Stores and AI/ML frameworks. AI/ML Frameworks: Strong background in AI/ML frameworks (PyTorch/TensorFlow, LangChain, Hugging Face, OpenAI APIs) Deep Learning & AI Architectures: Experience building with LLMs, embeddings, RAG, CNNs, or related deep learning architectures. Data Engineering & Analytics: Skilled in SQLAlchemy + PostgreSQL/MySQL and data wrangling with Pandas/Numpy. Vector Database Expertise: Strong knowledge of vector databases such as Pinecone, FAISS, Weaviate, etc. Applied AI Problem-Solving: Passion for solving real-world problems with AI. Collaboration & Communication: Work effectively with cross-functional teams across different time zones. Adaptability & Continuous Learning: Stay updated with the latest advancements in AI, cloud computing, and data engineering. Ownership & Accountability: Take initiative and responsibility for the success of the projects. What you’ll bring
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 5 years of professional experience in Python development. Minimum 2-3 years of experience with FastAPI or Flask for building RESTful APIs. Minimum 2-3 years of experience with Docker and deployment in the AWS ecosystem. Experience in developing interactive applications using Streamlit. Strong knowledge of SQLAlchemy and PostgreSQL/MySQL for relational database management. Proficiency with Pandas for data processing and analysis. Demonstrated experience with LLMs and familiarity with Langchain framework for AI applications. Excellent problem-solving skills and the ability to work in a collaborative team environment. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Benefits & Perks
Comprehensive Health Coverage: Medical, dental, and vision insurance plans 401(k) with Company Match: Plan for your future with our retirement savings program Equity Purchase Option: Participate in Fuel Cycle’s long-term success Flexible Work Schedule: Empowering you to balance life and work Generous Time Off: 15 vacation days and 7 sick days per year, 12 company holidays, and 4 floating holidays/recharge days. Paid Parental Leave: Time to bond with your growing family Monthly Internet & Phone Stipend: Support for remote work setup Wellness & Lifestyle Perks: Access to tools like Rightway (healthcare navigation), Headspace (mental wellness), and more Team Connection Perks: Weekly community lunches, refreshments, and snacks at our LA & NY headquarters, pet-friendly office environments Compensation Overview
The expected starting salary range for this position is $150,000 - $180,000. Commitment to Diversity, Equity, and Equal Opportunity
At Fuel Cycle, we embrace the values of diversity, equity, and inclusion and are committed to fostering an inclusive company culture.
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Senior Python/AI Engineer
at
Fuel Cycle . About Fuel Cycle : Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights — fast, flexible, and fully integrated. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale. Why work at Fuel Cycle ? Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Overview
We are seeking a
Senior Python Engineer
with deep expertise in AI-driven applications, passionate about applying cutting-edge techniques like Large Language Models (LLMs), Convolutional Neural Networks (CNNs), and advanced data processing pipelines to solve real-world problems in information processing. Key Responsibilities
AI-Driven Application Development: Design and build intelligent applications that leverage LLMs and CNNs for text, image, or multimodal data processing. Information Processing & Data Engineering: Develop efficient pipelines for extracting, structuring, and analyzing large, unstructured datasets. Scalable Backend Systems: Build robust APIs with FastAPI/Flask, integrate AI models into production, and create interactive prototypes with Streamlit. Cloud & DevOps: Containerize and deploy AI-enabled applications on AWS with Docker. Cross-Functional Collaboration: Work with data scientists, AI researchers, and product leaders to translate business problems into AI-powered solutions. Continuous Innovation: Explore and integrate emerging ML architectures and frameworks to push the boundaries of what’s possible. Your Success Metrics
Deliver AI-first features that significantly improve information extraction, summarization, and decision-making workflows. Achieve smooth integration of LLMs and CNNs into production-ready pipelines. Ensure high performance and reliability of cloud-deployed applications. Contribute to a culture of technical excellence, code quality, and innovation. Core Skills, Competencies & Attributes
Technical Excellence: Strong expertise in Python, FastAPI/Flask, Streamlit, pandas, numpy, Vector Stores and AI/ML frameworks. AI/ML Frameworks: Strong background in AI/ML frameworks (PyTorch/TensorFlow, LangChain, Hugging Face, OpenAI APIs) Deep Learning & AI Architectures: Experience building with LLMs, embeddings, RAG, CNNs, or related deep learning architectures. Data Engineering & Analytics: Skilled in SQLAlchemy + PostgreSQL/MySQL and data wrangling with Pandas/Numpy. Vector Database Expertise: Strong knowledge of vector databases such as Pinecone, FAISS, Weaviate, etc. Applied AI Problem-Solving: Passion for solving real-world problems with AI. Collaboration & Communication: Work effectively with cross-functional teams across different time zones. Adaptability & Continuous Learning: Stay updated with the latest advancements in AI, cloud computing, and data engineering. Ownership & Accountability: Take initiative and responsibility for the success of the projects. What you’ll bring
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 5 years of professional experience in Python development. Minimum 2-3 years of experience with FastAPI or Flask for building RESTful APIs. Minimum 2-3 years of experience with Docker and deployment in the AWS ecosystem. Experience in developing interactive applications using Streamlit. Strong knowledge of SQLAlchemy and PostgreSQL/MySQL for relational database management. Proficiency with Pandas for data processing and analysis. Demonstrated experience with LLMs and familiarity with Langchain framework for AI applications. Excellent problem-solving skills and the ability to work in a collaborative team environment. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Benefits & Perks
Comprehensive Health Coverage: Medical, dental, and vision insurance plans 401(k) with Company Match: Plan for your future with our retirement savings program Equity Purchase Option: Participate in Fuel Cycle’s long-term success Flexible Work Schedule: Empowering you to balance life and work Generous Time Off: 15 vacation days and 7 sick days per year, 12 company holidays, and 4 floating holidays/recharge days. Paid Parental Leave: Time to bond with your growing family Monthly Internet & Phone Stipend: Support for remote work setup Wellness & Lifestyle Perks: Access to tools like Rightway (healthcare navigation), Headspace (mental wellness), and more Team Connection Perks: Weekly community lunches, refreshments, and snacks at our LA & NY headquarters, pet-friendly office environments Compensation Overview
The expected starting salary range for this position is $150,000 - $180,000. Commitment to Diversity, Equity, and Equal Opportunity
At Fuel Cycle, we embrace the values of diversity, equity, and inclusion and are committed to fostering an inclusive company culture.
#J-18808-Ljbffr