Senior Generative AI Engineer (India) (Remote)

Codvo Private Limited; India; Remote; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading tech company in India is looking for a Senior Generative AI Engineer to tackle complex data challenges. The role demands strong expertise in Generative AI, Python, and hands-on experience with various AWS services. The ideal candidate should have over 6 years of experience and a background in machine learning engineering, coupled with a drive for innovation and collaboration. Join a dynamic team to make an impact in the AI space.

Qualifications

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

Responsibilities

• Build, optimize, and deploy RAG (Retrieval-Augmented Generation) pipelines.
• Work with agentic frameworks such as LangChain and LlamaIndex.
• Utilize vector databases like Pinecone and Qdrant.

Skills

Generative AI

Python

API development (REST)

Microservices

MLOps

Cloud infrastructure

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS (EKS, ECS, Lambda, API Gateway)

Amazon Bedrock

Amazon Kendra

Amazon Textract

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.