Fuel Cycle .
This range is provided by Fuel Cycle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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. With cutting-edge tools and seamless audience connectivity, we help brands ditch the guesswork and make smarter, customer-led decisions at lightning speed.
Why work at Fuel Cycle?
Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Whether you’re based at our Los Angeles HQ, New York City hub, working remotely across the U.S., or part of our global team in India, you’ll help shape the future of decision intelligence for some of the world’s most iconic brands.
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.
The ideal candidate is equally comfortable building scalable backend systems and experimenting with the latest AI frameworks to turn research concepts into production-ready solutions. If you thrive at the intersection of engineering and applied AI, this role offers the opportunity to shape the future of decision intelligence technology.
This position follows a hybrid work model and is based out of our Los Angeles HQ, with an on-site presence required 3 days/week.
Key Responsibilities
AI-Driven Application Development: Design and build intelligent applications that leverage LLMs (via LangChain, vector stores, embeddings) and CNNs for text, image, or multimodal data processing.
Information Processing & Data Engineering: Develop efficient pipelines for extracting, structuring, and analyzing large, unstructured datasets; optimize transformations with Pandas, NumPy, and modern vector DBs.
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, ensuring scalability, resilience, and security.
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 (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.
Who you’ll work with
Product
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 (demonstratable project work).
Minimum 2-3 years of experience with Docker and deployment in the AWS ecosystem (demonstratable project work).
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.
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.
Benefits
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
4 floating holidays/recharge days to rest or celebrate what matters to you
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
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 . This range represents the typical starting compensation offered to candidates hired into this role. Final base salary will be determined based on location, work experience, skills, knowledge, education, and certifications.
These components make up your total compensation package, which will be reviewed in greater detail during your initial recruiter conversation.
Equal Opportunity
At Fuel Cycle, we embrace diversity, equity, and inclusion and are committed to fostering an inclusive company culture. We stand against 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 are an equal opportunity employer and comply with the Americans with Disabilities Act (ADA). We provide reasonable accommodations for qualified applicants and employees with disabilities. If you require accommodations during any part of the application process, please contact hr@fuelcycle.com.
#li-hybrid
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Market Research, Software Development, and Business Consulting and Services