Swe Backend Rag (Remote)

Job Title: Back End Software Engineer specializing in Retrieval-Augmented Generation

Summary:

We’re looking for an experienced Back End Software Engineer with a strong focus on Retrieval-Augmented Generation (RAG) to join our team. You will play a key role in designing, developing, and maintaining robust back-end systems that power our cutting-edge AI applications. You’ll have a deep understanding of API design, back-end architecture, and proficiency in languages like Python, GoLang, and NodeJS. Experience with GenAI, Docker, and containerized environments is highly desired.

Responsibilities:

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  Design and develop: Build and maintain scalable, high-performance back-end systems that support our AI applications, with a particular emphasis on RAG.

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  API development: Design, implement, and document RESTful APIs that enable seamless communication between our front-end and back-end systems.

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  Data management: Work with large datasets, implement efficient data storage and retrieval mechanisms, and optimize database performance.

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  RAG implementation: Integrate retrieval systems (e.g., vector databases) with large language models (LLMs) to create powerful RAG-based applications.

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  Containerization: Utilize Docker and container orchestration tools to manage and deploy back-end services in a containerized environment.

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  Performance optimization: Continuously monitor and optimize back-end systems for speed, reliability, and scalability.

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  Collaboration: Work closely with front-end engineers, data scientists, and machine learning engineers to ensure smooth integration and optimal performance of AI applications.

Qualifications:

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.

• Strong proficiency in at least one of the following languages: Python, GoLang, or NodeJS.

• Deep understanding of API design principles and best practices.

• Experience with designing and developing back-end systems for AI applications.

• Hands-on experience with Retrieval-Augmented Generation (RAG) techniques.

• Familiarity with GenAI, large language models (LLMs), and vector databases.

• Proficient in using Docker and working in containerized environments.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Excellent communication and teamwork skills.

Desired Experience:

• Experience with GenAI, especially in building RAG-based applications.

• Knowledge of Docker orchestration tools (e.g., Kubernetes).

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

Benefits:

• Competitive salary and benefits package.

• Opportunity to work on cutting-edge AI projects.

• Collaborative and innovative work environment.

• Professional development and growth opportunities.

What we are looking for in a strong candidate:

• Cloud certifications in the area of architecture, data engineering, and/or machine learning

• Bachelor’s degree or commensurate technical certificate in a technical field

• Background working with government technology projects and programs

• Empathy and Respect: Demonstrated ability to connect with stakeholders, valuing their input, and understanding the nuances of their needs and challenges