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Senior AI Engineer

Quantum Integrators
Maharashtra, IND
Full-time
Mid-Senior
Onsite
Discovered 4 days ago
Generative AILarge Language ModelsMachine learningPythonTensorFlowPyTorch
Free

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Key skills for this role

Generative AILarge Language ModelsMachine learning
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Role overview

Quantum Integrators is seeking a Senior AI Engineer to design, develop, and deploy AI solutions for business-critical applications.

The role requires expertise in generative AI, Large Language Models, machine learning frameworks, and cloud-based AI platforms.

The position is based in Pune and requires work from the office.

The schedule follows a UK shift from 4:00 PM to 1:00 AM IST, and immediate joiners are requested.

Key responsibilities

  • Design, develop, and deploy AI solutions for business-critical applications.
  • Build generative AI applications using LLMs and maintain end-to-end machine learning pipelines.
  • Fine-tune foundation models and implement RAG architectures with vector databases.
  • Integrate AI solutions with enterprise applications and APIs.
  • Monitor model performance, troubleshoot issues, and improve AI systems.
  • Collaborate with product, engineering, and business teams to deliver scalable AI solutions.
  • Ensure security, compliance, and responsible AI standards are followed.

Required qualifications

  • Bachelor's or Master's degree in Computer Science with a major in Artificial Intelligence, Data Science, or a related field.
  • 7+ years of hands-on experience in AI/ML engineering and solution development.
  • Strong Python proficiency and experience with TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Experience with LLMs, RAG frameworks, vector databases, prompt engineering, and AI orchestration frameworks.
  • Knowledge of AWS, Azure, or GCP and experience with Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with REST APIs, microservices, data structures, algorithms, and system design.
  • Strong problem-solving, communication, and stakeholder management skills.

Preferred qualifications

  • Experience with AI agents, autonomous workflows, and multi-agent systems.
  • Exposure to MLOps tools and frameworks.
  • Experience with enterprise AI deployments and production-grade systems.
  • Knowledge of model evaluation, AI governance, and responsible AI practices.
  • Experience working with distributed teams and US-based clients.

Work arrangement

  • The role is based in Pune and requires work from the office.
  • Working hours are 4:00 PM to 1:00 AM IST to support a UK shift.

What the company offers

  • Opportunity to work on generative AI initiatives and challenging business problems.
  • Exposure to global clients and a collaborative, innovation-driven work environment.
  • Career growth opportunities in a rapidly evolving AI ecosystem.

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