SOFTWARE DEVELOPER/ENGINEER (CYBER)
Indexed description
Mission
Quantum Research Int. is seeking an Intermediate Software Developer/Engineer to support the development and enhancement of a Retrieval-Augmented Generation (RAG) application that leverages Large Language Models (LLMs) for intelligent inference and response generation. This is a government contract role focused on building secure, reliable AI-assisted systems. The ideal candidate has strong software engineering skills across multiple languages and a solid understanding of AI/ML concepts, with hands-on interest in applied LLM technologies.
Job Responsibilities
- Design, develop, and maintain RAG pipelines integrating vector databases, embeddings, and LLMs for accurate, context-aware inference.
- Implement and optimize retrieval logic, prompt engineering, and post-processing of LLM outputs.
- Build and integrate backend services using .NET/C#, Go, and/or Python.
- Collaborate with AI/ML engineers, data scientists, and stakeholders to translate requirements into production-grade features
- Ensure application security, performance, scalability, and compliance with government standards.
- Troubleshoot and optimize AI-assisted workflows, including latency, accuracy, and cost considerations.
- Participate in code reviews, testing, and documentation in an Agile environment.
- Active TS or ability to obtain TS/SCI clearance
- At least 3+ years of professional software development experience
- Strong experience in at least two of the following: .NET/C#, Go (Golang), Python. Solid understanding of all languages listed is a plus.
- Familiarity at the developer level with AI/ML fundamentals, including embeddings and vector searching, RAG patterns, LLM inference (prompting, context windows, token management), and basic evaluation metrics for generative AI.
- Experience building RESTful APIs, microservices, or backend systems.
- Experience with non-frontier (open) AI models running in local or self-hosted environments.
- Direct experience developing and deploying AI-assisted applications (chatbots, knowledge assistants, document intelligence tools)
- Hands-on work with RAG frameworks/tools such as LangChain, LlamaIndex or similar.
- Experience implementing vector databases such as Pinecone, Weaviate, Chroma, pgvector, etc.
- Familarity with Python data/AI ecosystem (NumPy, Pandas, Hugging Face, sentence-transformers)
- Knowledge of .NET integrations with AI services or Go-based backend services for high-performance AI workloads
- Experience developing in secure/controlled environments (FedRAMP, gov-cloud, air-gapped enclaves).
- Understanding of MLOps basics (model versioning, monitoring, CI/CD for AI).
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