RiseFlake
Celebal Technologies

AI Engineer - Solution Architect

Celebal Technologies

Pune, Maharashtra, India 4-8 yrs Posted 11 days ago 1 openings
Not disclosedFull-timeIn OfficeAI/ML EngineerEngineeringSoftware Development

About this job

Celebal Technologies is at the forefront of innovation, empowering businesses with cutting-edge artificial intelligence solutions. We are actively seeking a highly skilled and passionate AI Engineer - Solution Architect to join our dynamic team in Pune. This pivotal role involves designing, developing, and deploying advanced Generative AI and Agentic AI systems, playing a crucial part in shaping the future of intelligent automation and decision-making for our clients.

As an AI Engineer - Solution Architect, you will be instrumental in bridging the gap between innovative AI concepts and robust, scalable production-ready solutions. If you possess a strong background in AI/ML and a proven track record in architecting enterprise-grade GenAI systems, we invite you to contribute your expertise to our growing hybrid team.

Key Responsibilities

  • Design, develop, and implement robust, scalable enterprise-grade AI/ML and Generative AI solutions that meet complex business requirements.
  • Lead the creation and deployment of sophisticated Large Language Model (LLM) engineering and multi-agent systems, pushing the boundaries of AI capabilities.
  • Specialize in Retrieval Augmented Generation (RAG), knowledge retrieval, and advanced context/memory engineering to enhance AI model performance and accuracy.
  • Establish and maintain best practices for LLMOps and AgentOps, covering AI evaluation, observability, and continuous integration/deployment for production environments.
  • Successfully transition AI and Generative AI proof-of-concepts into fully operational, high-performance production systems.
  • Collaborate closely with data scientists, machine learning engineers, and product teams to integrate AI solutions seamlessly into existing platforms and workflows.
  • Stay at the forefront of AI innovation, continuously exploring new technologies, methodologies, and frameworks in Generative AI and Agentic AI to drive competitive advantage.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field.
  • A minimum of 4-8 years of professional experience in AI/ML, with a proven track record of architecting, developing, and delivering enterprise-grade Generative AI and Agentic AI solutions in production.
  • Exceptional command of Python programming and extensive hands-on experience with major cloud platforms such as Azure, AWS, or Databricks, including cloud-native deployments and API integration.
  • Deep understanding and practical experience in AI solution architecture, multi-agent systems, LLM engineering, Retrieval Augmented Generation (RAG), and context/memory management.
  • Solid experience with LLMOps/AgentOps principles, including AI model evaluation, performance monitoring, and observability in production settings.
  • A strong aptitude for complex problem-solving, analytical thinking, and a genuine passion for building intelligent AI systems that can reason, plan, and act autonomously.
  • Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively within a dynamic team environment.

What We Offer

  • An unparalleled opportunity to innovate and lead in the exciting fields of Generative AI and Agentic AI, contributing to transformative projects at Celebal Technologies.
  • A vibrant, collaborative, and challenging work environment in Pune, fostering continuous learning and professional growth.
  • Significant opportunities for career progression and skill development, working alongside industry experts on cutting-edge technologies.
  • A comprehensive and competitive salary package, reflecting your experience and contributions to our team.
  • Enjoy the benefits of a hybrid work model, blending in-office collaboration with remote flexibility.

Eligibility

Professionals • 4-8 years of experience

Skills

AWSAzureDatabricksPythonREST API

Perks & facilities

Certificate / Experience LetterLaptop / Equipment ProvidedStipend / SalaryTraining and Mentorship

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