Senior Generative AI Engineer (India) (Remote)

<div><strong>Senior Generative AI Engineer</strong></div><div><br></div><div><strong>Company: Codvo.ai</strong></div><div><br></div><p style="margin-bottom:0cm;"><strong>About Us</strong></p><p style="margin-bottom:0cm;">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.</p><div><br></div><div><br></div><div><strong>BASIC QUALIFICATIONS</strong></div><div><br></div><ul style="margin-top:0cm;" type="disc"><li><strong>6+ years</strong> of overall professional experience in software or machine learning engineering.</li><li>Bachelor's degree in Computer Science, Machine Learning, or a related technical field.</li><li><strong>2+ years of relevant, hands-on experience with Generative AI</strong>, including:<ul style="margin-top:0cm;" type="circle"><li>Building, optimizing, and deploying <strong>RAG (Retrieval-Augmented Generation)</strong> pipelines.</li><li>In-depth experience with <strong>agentic frameworks</strong> (e.g., LangChain, LlamaIndex).</li><li>Experience with vector databases (e.g., Pinecone, Qdrant, pgvector).</li></ul></li><li><strong>Expert-level proficiency in Python</strong> and object-oriented design.</li><li><strong>Demonstrated experience with core AWS services</strong> for compute and deployment (e.g., <strong>EKS, ECS, Lambda, API Gateway</strong>).</li><li>Strong understanding of API development (REST) and building microservices.</li></ul><div align="center" style="text-align:center;"><hr align="center"></div><div><br></div><div><strong>PREFERRED QUALIFICATIONS</strong></div><ul style="margin-top:0cm;" type="disc"><li>Deep, hands-on experience with the <strong>AWS AI/ML stack</strong>: <strong>Amazon Bedrock</strong>, <strong>Amazon Kendra</strong>, and <strong>Amazon Textract</strong>.</li><li>Proven track record of building and deploying <strong>complex, multi-step AI orchestrations</strong> (agentic planners) that call multiple tools and external APIs.</li><li>Experience in <strong>building custom AI/ML "skills"</strong> or models to handle domain-specific data analysis.</li><li>Hands-on experience with MLOps and cloud infrastructure: <strong>Docker</strong>, <strong>Kubernetes</strong>, <strong>CI/CD</strong>, <strong>AWS Secrets Manager</strong>, and <strong>Amazon CloudWatch</strong>.</li><li>Familiarity with integrating AI systems with enterprise platforms (e.g., NetSuite, or similar).</li><li>Experience working in an agile environment to deliver high-quality code and rapidly iterate on new, high-impact products.</li></ul><div><br></div><div><br></div>