Back End Developer

Senior Backend Engineer, Vector Databases, Python, AI, Dallas/Hybrid

We are looking for a visionary Senior Backend Engineer to develop the core intelligence of next-generation AI agents. In this startup environment, you will design, scale, and manage the infrastructure that powers our AI capabilities. This high-autonomy role is ideal for an engineer who excels at solving scalability challenges and is passionate about robust backend systems and cutting-edge AI technologies (like RAG, Vector Databases, and Graph Architecture). If you're ready to make a significant impact on a growing AI platform, apply now and help shape the future of AI agents.

Why should you apply here?

• Company has experience building and growing projects that evolve into viable companies.
• Ground floor opportunity to work on an Agentic AI Platform for low-carbon energy solutions.
• Strong leadership and experience in the energy industry.
• Work directly with customers to turn use cases into working products.
• Direct collaboration with founders.
• Primary architect designing and building highly scalable, production backend systems exclusively in Python.
• Work heavily with Vector Databases and Graph-based RAG architectures.
• Deep Technical Challenges

What will you be doing?

• Develop highly scalable, production backend systems exclusively in Python.
• Develop core AI agents and robust APIs.
• Work on knowledge graph, designing, building, and optimizing advanced data ingestion pipelines using specialized Graph Vector Databases for complex data retrieval (RAG).
• Engineer the Document Processing Pipeline (DPP) from the ground up, ensuring seamless and accurate transformation of complex documents (like P&ID diagrams) into actionable vector data.
• Design and deploy strategic caching layers to ensure sub-second response times and maintain high efficiency for the most frequently accessed knowledge.
• Translate industrial data models (including specialized P&ID and instrumentation diagrams) into structured data, fundamentally connecting AI to real-world operational environments.

What are the minimum qualifications?

• 4 years of demonstrable experience building and deploying complex, production-grade backend systems using Python (e.g., FastAPI, Django, Flask).
• Experience with RESTful and/or gRPC API design, including best practices for security, rate-limiting, and managing high-volume concurrency.
• Proven experience working with Vector Databases (e.g., Chroma, Pinecone, Milvus).
• Strong practical experience with Docker and cloud services (AWS/GCP/Azure), including designing systems for resilience, horizontal scaling, and observability.
• Experience with RAG.
• Worked with AI Agents.

What will make your résumé stand out?

• Startup experience.
• Previous experience with Piping and Instrumentation Diagrams.
• Neo4j.
• NetworkX.

Location: Dallas, TX/Hybrid.

Citizenship: U.S. Citizens and Permanent Residents.

Salary: 130K – 150K plus stock options and benefits.