Quanteon Solutions
Quanteon Solutions - Senior AI/ML Engineer
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
8 August 2026
What they need
Role : Senior AI/ML Engineer.
Job Summary We are looking for a Senior AI/ML Engineer to lead the design, development, and deployment of AI-powered enterprise applications. The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), AI application architecture, and modern software engineering practices.
Key Responsibilities
- Design and develop AI-powered enterprise applications using modern AI frameworks and APIs.
- Lead the architecture, development, and deployment of scalable AI solutions.
- Build intelligent applications using LLMs, RAG, AI Agents, Prompt Engineering, and vector databases.
- Collaborate with Product Managers, Designers, and Business Stakeholders to convert business problems into AI-driven solutions.
- Integrate AI capabilities into existing enterprise applications.
- Guide and mentor engineering teams through technical leadership, code reviews, and architecture discussions.
- Drive AI adoption across products by identifying automation and intelligence opportunities.
- Ensure high-quality, secure, scalable, and maintainable software.
- Participate throughout the complete software development lifecycle including architecture, development, testing, deployment, and production support.
- Evaluate emerging AI technologies and recommend suitable solutions.
Tech Stack & Experience
- 6+ years of software engineering experience with at least 4+ years in AI/ML or Generative AI development.
- Strong experience with: Large Language Models (LLMs), Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents.
- Experience integrating AI APIs such as: OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude.
- Experience building AI-powered enterprise applications.
- Understanding of embeddings, vector databases, semantic search, and AI application architecture.
- Knowledge of AI model evaluation, prompt optimization, and AI safety best practices.
Educational Qualification
- B.Tech / M.Tech in Computer Science, Information Technology, Artificial Intelligence & Machine Learning, or a related discipline.
(ref:hirist.tech)
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