Retrieval-Augmented Generation (RAG) Software Engineer - Remote Position

Overview

Remote
$70 - $75
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

RAG
LLM
Python
AWS
FastAPI
MCP

Job Details

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:

Required Skills:

      1. RAG Systems Development Build and optimize Retrieval-Augmented Generation workflows using LangChain and vector databases for accurate data retrieval and LLM-powered applications.

      2. Vector Database Expertise Manage and integrate Qdrant (or similar) to enable high-performance vector search at scale.

      3. Cloud & Infrastructure Use AWS (Lambda, ECS) with Docker to deploy scalable, containerized, and serverless microservices.

      4. Backend/API Development Build performant APIs with FastAPI + Uvicorn, ensuring low-latency responses and handling high traffic.

      5. Observability & Reliability Implement monitoring and tracing with Datadog + ddtrace to troubleshoot and optimize production systems.

Most Important Tech Stack (Core Skills)

      • LangChain (LLM Orchestration Framework) Centerpiece of RAG workflows.

      • Vector Databases (Qdrant, Pinecone, Weaviate, etc.) Powering similarity search and context retrieval.

      • Python 3.11 (async programming) Core development language for workflows, APIs, and backend logic.

      • AWS (Lambda, ECS, Cloud infra) Required for deploying and scaling services.

      • FastAPI + Uvicorn Essential for serving RAG/LLM applications with low-latency APIs.

      • Docker + Containerization Needed for microservices and reproducible deployments.

    • MCP Servers (Model Context Protocol) Shows awareness of the evolving ecosystem for multi-agent and context-rich workflows.

    • Monitoring (Datadog, ddtrace) Signals maturity in operating ML/LLM systems at scale

Why Join R Systems?
  • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
  • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
  • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
  • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
  • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
  • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
#LI-AP2
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
Employers have access to artificial intelligence language tools ( AI ) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.