Top 3 Models vector embedding quantum information Jobs

SOFTWARE DEVELOPER/ENGINEER (CYBER)
Quantum Research International Inc —Huntsville, AL
- Full-time
- Mid-level
- 3 years
- Databases
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Research Scientist - Simplex
Astera Institute —California
- $140,000 - $200,000 a year
- Full-time
- Math
- Doctor of Philosophy
- Neurology
Machine Learning Engineer
Lenovo —Morrisville, NC
- $145,000 - $155,000 a year
- Full-time
- Hybrid work
- Office
- Senior level

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Principal Software Engineer
Blitzy —Cambridge, MA
Demonstrated technical expertise across the full stack — you can debug, design, and ship across frontend, backend, infrastructure, and AI layers.
$300,000 - $500,000 a year
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SOFTWARE DEVELOPER/ENGINEER (CYBER)
Quantum Research International Inc —Huntsville, AL
Direct experience developing and deploying AI-assisted applications (chatbots, knowledge assistants, document intelligence tools). NET/C#, Go, and/or Python.
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SOFTWARE DEVELOPER/ENGINEER (CYBER)

Quantum Research International Inc -
Huntsville, AL

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Job Details

Full-time

Qualifications

AI models
Software engineering
Generative models
Generative AI

Full Job Description

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Colorado Springs, CO; Crestview, FL; Orlando, FL; and Tupelo, MS.

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.

Required Skills' Qualifications:

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.

Desired Skills and Qualifications:

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).

Equal Opportunity Employer/Affirmative Action Employer M/F/D/V:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

#LI-JL1 #LI-Onsite

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