AI/ML & Generative AI Engineer
Quantumtech IncAbout the role
AI/ML & Generative AI Engineer
Location: Remote – United States
Employment Type: Full-Time
Job Overview
We are looking for an experienced AI/ML & Generative AI Engineer to design, develop, and deploy intelligent AI solutions using modern machine learning and generative AI technologies. The ideal candidate will have hands-on experience building production-ready ML/AI applications and working with LLMs.
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions.
Build and integrate applications using Large Language Models (LLMs).
Develop RAG (Retrieval-Augmented Generation) pipelines and AI-powered applications.
Work with prompt engineering, embeddings, vector databases, and LLM APIs.
Develop and optimize machine learning models and data pipelines.
Implement model evaluation, monitoring, and performance optimization.
Integrate AI solutions with existing enterprise applications and APIs.
Collaborate with data scientists, software engineers, and product teams.
Deploy AI/ML models using cloud platforms and production infrastructure.
Follow best practices for security, scalability, reliability, and responsible AI.
Required Skills
Strong experience with Python and ML/AI frameworks.
Hands-on experience with Generative AI and LLMs.
Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
Experience with PyTorch, TensorFlow, or Scikit-learn.
Experience with REST APIs and microservices.
Knowledge of AWS, Azure, or GCP.
Experience with Git and modern software development practices.
Strong understanding of machine learning concepts and model lifecycle.
Preferred Qualifications
Experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.
Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
Experience with Docker and Kubernetes.
Knowledge of MLOps and CI/CD.
Experience fine-tuning or adapting LLMs.
Master's degree in Computer Science, AI/ML, Data Science, or a related field is a plus.
What We Offer
100% Remote – USA
Competitive compensation
Opportunity to work on modern AI/ML and Generative AI projects
Collaborative engineering environment
Exposure to cutting-edge AI technologies
Opportunities for professional growth and learning
Note: Candidates must be authorized to work in the United States. Sponsorship/visa requirements can be discussed based on the specific role and engagement.
About us
Quantumtech Inc. is a US-based IT services and consulting company providing technology talent and solutions to enterprises, mid-market organizations, and government contractors. We specialize in IT staffing, consulting, technology solutions.
Why Quantum ?
Day 1 NOC Stay because you choose to.
Low Payroll Margin & Transparent Payroll
Referral bonus - $500 ( Next day !)
Refer a consultant facing payroll issues to our team and earn after a successful transition.
Check out the Payroll Calculator: https://quantumtechus.com/payroll-calculator/
Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build and integrate applications using Large Language Models (LLMs).
- Develop RAG (Retrieval-Augmented Generation) pipelines and AI-powered applications.
- Work with prompt engineering, embeddings, vector databases, and LLM APIs.
- Develop and optimize machine learning models and data pipelines.
- Implement model evaluation, monitoring, and performance optimization.
- Integrate AI solutions with existing enterprise applications and APIs.
- Collaborate with data scientists, software engineers, and product teams.
Qualifications
- Strong experience with Python and ML/AI frameworks.
- Hands-on experience with Generative AI and LLMs.
- Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
- Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
- Experience with PyTorch, TensorFlow, or Scikit-learn.
- Experience with REST APIs and microservices.
- Knowledge of AWS, Azure, or GCP.
- Experience with Git and modern software development practices.
Benefits
- 100% Remote – USA
- Competitive compensation
- Opportunity to work on modern AI/ML and Generative AI projects
- Collaborative engineering environment
- Exposure to cutting-edge AI technologies
- Opportunities for professional growth and learning
Skills mentioned
About Quantumtech Inc
QuantumTech is a US-based IT services and consulting company helping businesses scale with top-tier technology talent across the United States. We partner with enterprises, mid-market firms, and government contractors to deliver skilled IT professionals across software development, cloud infrastructure, data engineering, cybersecurity, DevOps, and enterprise consulting. Built on over a decade of experience in the US IT industry, QuantumTech combines the agility of a boutique firm with the reach and reliability of an established staffing and solutions partner. 🔹 What We Do • IT Staffing & Contract Placements — C2C and W2 • Technology Consulting & Project-Based Engagements • Employer of Record (EOR) & Payroll Solutions • Workforce Management for IT Contractors • End-to-End Talent Acquisition for Tech Teams 🔹 Our Strength QuantumTech operates under the leadership of Nrupen Mandava founder of Ancile Inc. , Ancile Academy , Snaphomz , one of the most respected IT staffing and consulting firms in the US since 2013, with offices in Texas, California, and South Carolina. That track record of trust, compliance, and delivery is the foundation QuantumTech is built on. 🔹 Our Commitment We are committed to building long-term partnerships with our clients who need dependable technology talent, and with our consultants who deserve to work with a company that respects their expertise and pays them what they're worth. 📍 United States — Texas · California · South Carolina 🌐 quantumtechus.com 📧 hr@quantumtechus.com | 📞 919-607-2143
H-1B sponsorship history
Historical employer filing data was found for Quantumtech Inc. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.