Asst Dir

2 weeks ago

Bengaluru Noida, India Moody's Analytics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Skills & Competencies:

  • Must have overall 5 - 6 Years of experience with 3+ years in Data Engineering and Agentic AI.
  • Proven expertise in full-stack development with strong proficiency in Python, JavaScript, and frameworks such as FastAPI, Flask, Django, React, and Angular.
  • Hands-on experience in designing and deploying Generative AI solutions, including LLM-based chatbots and domain-specific assistants.
  • Strong understanding of system architecture, API design, and cloud integration (Azure, AWS) for scalable enterprise applications.
  • Advanced knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB) and data pipeline optimization.
  • Familiarity with MLOps, LangChain, LangSmith, and modern AI frameworks for building agentic AI systems.
  • Excellent leadership, mentoring, and collaboration skills with the ability to drive best engineering practices in agile environments.
  • Strong problem-solving abilities and ability to communicate complex technical concepts to diverse stakeholders.

Education:

  • Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities:

  • Architect and build secure, modular, and high-performance systems to support advanced AI workflows.
  • Develop and integrate enterprise-grade Generative AI solutions, leveraging LLMs and frameworks like LangChain and Azure AI.
  • Design and maintain data pipelines, ensuring data quality and efficiency across relational and non-relational databases.
  • Lead and mentor a team of developers, fostering innovation and adherence to best practices.
  • Conduct code reviews, manage GitHub repositories, and ensure compliance with CI/CD and agile methodologies.
  • Collaborate with Product Managers, Data Scientists, and cross-functional teams to translate business needs into technical solutions.
  • Stay ahead of emerging trends in Generative AI, MLOps, and cloud technologies, integrating new tools and frameworks as needed.
  • Communicate technical strategies and solutions effectively to both technical and non-technical audiences.

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