Senior Generative AI Engineer (India) (Remote)

Codvo.ai; Pune District; Remote; INR 1,500,000 - 2,500,000; Full time

Job summary

A data technology company is looking for a Senior Generative AI Engineer in Pune District. The ideal candidate will have over 6 years of experience in software or machine learning engineering and 2 years with Generative AI. Expertise in Python, AWS, and API development is essential. This role offers the opportunity to work on cutting-edge AI technologies in a collaborative environment.

Qualifications

• 6+ years of experience in software or machine learning engineering.
• 2+ years of hands-on experience with Generative AI, including RAG pipelines.
• Expert-level proficiency in Python and object-oriented design.

Skills

Python

Generative AI

Microservices development

AWS services (EKS, ECS, Lambda)

API development (REST)

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS AI/ML stack

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.