Fuel Cycle
Senior Python/AI Engineer
Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale, helping brands make smarter, customer-led decisions at lightning speed.
Job Summary We are seeking a Senior Python Engineer with deep expertise in AI-driven applications, passionate about applying cutting‑edge techniques such as Large Language Models (LLMs), Convolutional Neural Networks (CNNs), and advanced data processing pipelines to solve real‑world problems in information processing. The ideal candidate is comfortable building scalable backend systems and experimenting with the latest AI frameworks to turn research concepts into production‑ready solutions.
This position follows a hybrid work model and is based out of our Los Angeles HQ, with an on‑site presence required4 days per week.
Key Responsibilities
Design and build intelligent applications that leverage LLMs (via LangChain, vector stores, embeddings) and CNNs for text, image, or multimodal data processing.
Develop efficient pipelines for extracting, structuring, and analyzing large, unstructured datasets; optimize transformations with Pandas, NumPy, and modern vector databases.
Build robust APIs with FastAPI/Flask, integrate AI models into production, and create interactive prototypes with Streamlit.
Containerize and deploy AI-enabled applications on AWS with Docker, ensuring scalability, resilience, and security.
Collaborate with data scientists, AI researchers, and product leaders to translate business problems into AI-powered solutions.
Explore and integrate emerging ML architectures and frameworks (transformers, CNNs, diffusion models, retrieval-augmented generation) 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 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: Knowledge of Pinecone, FAISS, Weaviate, etc.
Applied AI Problem‑Solving: Passion for solving real‑world problems with AI.
Collaboration & Communication: Works effectively with cross‑functional teams across different time zones.
Adaptability & Continuous Learning: Stays updated with the latest advancements in AI, cloud computing, and data engineering.
Ownership & Accountability: Takes 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 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.
Preferred (but Not Required)
Experience with CI/CD pipelines and automated testing frameworks.
Familiarity with microservices architecture and serverless computing on AWS.
Prior experience in an AI-driven product environment or in building AI applications.
Exposure to additional data science tools or libraries is a plus.
Compensation Overview The expected starting salary range for this position is
$150,000 - $180,000 . Final base salary will be determined based on location, work experience, skills, knowledge, education, and certifications.
Additional compensation includes stock options.
Benefits
Comprehensive Health Coverage (medical, dental, vision)
401(k) with Company Match
Equity Purchase Option
Flexible Work Schedule
Generous Time Off: 15 vacation days, 7 sick days, 12 company holidays, 4 floating holidays
Paid Parental Leave
Monthly Internet & Phone Stipend
Wellness & Lifestyle Perks (Rightway, Headspace)
Weekly community lunches, refreshments, and snacks at LA & NY headquarters
Pet-friendly office environments
EEO Statement Fuel Cycle is an equal opportunity employer and fully complies with the Americans with Disabilities Act (ADA). We embrace diversity, equity, and inclusion and are committed to fostering an inclusive company culture. We prohibit discrimination based on disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.
We will provide reasonable accommodations for qualified applicants with disabilities, as needed, to enable them to perform the essential functions of the job and participate in the application and interview process. If you require accommodations, please contact hr@fuelcycle.com.
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Job Summary We are seeking a Senior Python Engineer with deep expertise in AI-driven applications, passionate about applying cutting‑edge techniques such as Large Language Models (LLMs), Convolutional Neural Networks (CNNs), and advanced data processing pipelines to solve real‑world problems in information processing. The ideal candidate is comfortable building scalable backend systems and experimenting with the latest AI frameworks to turn research concepts into production‑ready solutions.
This position follows a hybrid work model and is based out of our Los Angeles HQ, with an on‑site presence required4 days per week.
Key Responsibilities
Design and build intelligent applications that leverage LLMs (via LangChain, vector stores, embeddings) and CNNs for text, image, or multimodal data processing.
Develop efficient pipelines for extracting, structuring, and analyzing large, unstructured datasets; optimize transformations with Pandas, NumPy, and modern vector databases.
Build robust APIs with FastAPI/Flask, integrate AI models into production, and create interactive prototypes with Streamlit.
Containerize and deploy AI-enabled applications on AWS with Docker, ensuring scalability, resilience, and security.
Collaborate with data scientists, AI researchers, and product leaders to translate business problems into AI-powered solutions.
Explore and integrate emerging ML architectures and frameworks (transformers, CNNs, diffusion models, retrieval-augmented generation) 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 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: Knowledge of Pinecone, FAISS, Weaviate, etc.
Applied AI Problem‑Solving: Passion for solving real‑world problems with AI.
Collaboration & Communication: Works effectively with cross‑functional teams across different time zones.
Adaptability & Continuous Learning: Stays updated with the latest advancements in AI, cloud computing, and data engineering.
Ownership & Accountability: Takes 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 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.
Preferred (but Not Required)
Experience with CI/CD pipelines and automated testing frameworks.
Familiarity with microservices architecture and serverless computing on AWS.
Prior experience in an AI-driven product environment or in building AI applications.
Exposure to additional data science tools or libraries is a plus.
Compensation Overview The expected starting salary range for this position is
$150,000 - $180,000 . Final base salary will be determined based on location, work experience, skills, knowledge, education, and certifications.
Additional compensation includes stock options.
Benefits
Comprehensive Health Coverage (medical, dental, vision)
401(k) with Company Match
Equity Purchase Option
Flexible Work Schedule
Generous Time Off: 15 vacation days, 7 sick days, 12 company holidays, 4 floating holidays
Paid Parental Leave
Monthly Internet & Phone Stipend
Wellness & Lifestyle Perks (Rightway, Headspace)
Weekly community lunches, refreshments, and snacks at LA & NY headquarters
Pet-friendly office environments
EEO Statement Fuel Cycle is an equal opportunity employer and fully complies with the Americans with Disabilities Act (ADA). We embrace diversity, equity, and inclusion and are committed to fostering an inclusive company culture. We prohibit discrimination based on disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.
We will provide reasonable accommodations for qualified applicants with disabilities, as needed, to enable them to perform the essential functions of the job and participate in the application and interview process. If you require accommodations, please contact hr@fuelcycle.com.
#J-18808-Ljbffr