Agentic AI Engineer/Lead (RAG + LLM Systems) at Codvo.ai
Codvo.ai · Remote (India) · Posted today
About this role
Codvo.ai is seeking an experienced Agentic AI Engineer or Lead to design and build enterprise-grade Agentic AI and RAG systems. You will work on cutting-edge AI solutions, implementing LLMOps practices, and managing vector databases for production environments. This role involves developing scalable APIs, monitoring AI system performance, and leading technical initiatives in the AI space.
Skills required
Key responsibilities
Design and develop enterprise-grade Agentic AI systems and RAG pipelines for production use
Implement LLMOps practices including evaluation frameworks, monitoring, and optimization of language models
Build and manage vector database solutions using FAISS, Pinecone, Weaviate, or similar technologies
Develop scalable APIs and microservices using Python and FastAPI for AI applications
Deploy and manage AI systems on cloud platforms such as AWS, Azure, or GCP with focus on reliability and performance
About Codvo.ai
Codvo.ai is an innovative AI-focused technology company specializing in enterprise-grade Agentic AI and RAG systems. The company fosters a culture of continuous learning and technical excellence, enabling engineers to work on transformative AI projects. With a remote-first approach, Codvo.ai attracts top talent from across India to build next-generation AI solutions.
Why you should apply
Work on cutting-edge Agentic AI and RAG technologies that are shaping the future of enterprise AI
Enjoy complete remote flexibility while collaborating with a talented team focused on AI innovation
Gain hands-on experience with production-scale AI systems, vector databases, and LLMOps best practices
Interview preparation tips
Prepare detailed examples of RAG systems you have built, including architecture decisions and performance metrics
Be ready to discuss your experience with LLMOps, including model evaluation, monitoring, and production deployment challenges
Demonstrate knowledge of vector databases and how you have optimized similarity search and retrieval in production environments
Discuss your experience with FastAPI and microservices architecture, particularly in building scalable AI applications
Career growth path
Ready to apply?
Keep your updated resume, transcripts, and cover letter ready before you start the application.
Apply via Email: [email protected]
Check the official careers page for deadline and instructions
Frequently asked questions
Get free daily IT job alerts
Join thousands of IT professionals getting daily job updates on WhatsApp and Telegram.
Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.
