Back End Developer

Riccione Resources, Inc.

Dallas (TX)

On-site

USD 130,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Stock options

Job summary

A leading technology company in Dallas, TX is seeking a Senior Backend Engineer to develop robust backend systems and AI capabilities. This role involves working with advanced technologies, including Vector Databases and RAG, in a dynamic startup environment. Candidates should have at least 4 years of Python experience and familiarity with RESTful APIs. Competitive salary of $130K-$150K plus stock options and benefits offered.

Qualifications

4+ years of experience building backend systems using Python.
Experience with RESTful API design best practices.
Proven experience with Vector Databases.
Practical with Docker and cloud services.
Worked with RAG and AI Agents.

Responsibilities

Develop scalable backend systems in Python.
Build core AI agents and robust APIs.
Design advanced data ingestion pipelines.
Engineer Document Processing Pipelines.
Translate industrial data models into structured data.

Skills

Python

RESTful API design

Vector Databases

Docker

gRPC

Cloud services

RAG

AI Agents

Piping and Instrumentation Diagrams

Neo4j

NetworkX

Job description

This range is provided by Riccione Resources, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

Additional compensation types

Stock options

Direct message the job poster from Riccione Resources, Inc.

Technical Recruiter specializing in software, electrical, mechanical, and manufacturing engineering

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

Citizenship: U.S. Citizens and Permanent Residents.

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

Seniority level