Senior Generative AI Engineer (India) (Remote)
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AI Summary
The Senior Generative AI Engineer will be responsible for building, optimizing, and deploying RAG pipelines and working with agentic frameworks. The role involves solving complex data challenges using creativity and cutting-edge technology.
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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