Senior Generative AI Engineer (India) (Remote)

6 - 8 years

0 Lacs

Posted:1 week ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Senior Generative AI Engineer

Company: Codvo.ai

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Basic Qualifications

  • 6+ years of overall professional experience in software or machine learning engineering.
  • Bachelor's degree in Computer Science, Machine Learning, or a related technical field.
  • 2+ years of relevant, hands-on experience with Generative AI, including:
    • Building, optimizing, and deploying RAG (Retrieval-Augmented Generation) pipelines.
    • In-depth experience with agentic frameworks (e.g., LangChain, LlamaIndex).
    • Experience with vector databases (e.g., Pinecone, Qdrant, pgvector).
  • Expert-level proficiency in Python and object-oriented design.
  • Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, API Gateway).
  • Strong understanding of API development (REST) and building microservices.

Preferred Qualifications

  • Deep, hands-on experience with the AWS AI/ML stack: Amazon Bedrock, Amazon Kendra, and Amazon Textract.
  • Proven track record of building and deploying complex, multi-step AI orchestrations (agentic planners) that call multiple tools and external APIs.
  • Experience in building custom AI/ML skills or models to handle domain-specific data analysis.
  • Hands-on experience with MLOps and cloud infrastructure: Docker, Kubernetes, CI/CD, AWS Secrets Manager, and Amazon CloudWatch.
  • Familiarity with integrating AI systems with enterprise platforms (e.g., NetSuite, or similar).
  • Experience working in an agile environment to deliver high-quality code and rapidly iterate on new, high-impact products.

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