Location
Los Angeles Office
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Compensation
$150K – $180K • Your final base salary will be determined based on location, work experience, skills, knowledge, education and/or certifications.
Overview
Application
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. With cutting-edge tools and seamless audience connectivity, we help brands ditch the guesswork and make smarter, customer-led decisions at lightning speed.

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.

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.

• 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.