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Quanteon Solutions - Senior AI/ML Engineer

Quanteon Solutions - Senior AI/ML Engineer

Quanteon Solutions
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  • Posted 4 hours ago
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Job Description

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)

More Info

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Key Skills

Modern software engineering practices

Generative AI

Embeddings

AI model evaluation

AI application architecture

AI Agents

Prompt optimization

Vector databases

AI safety best practices

Prompt Engineering

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