Job highlights

- 10-15 years software engineering with expertise in Large Language Models, Retrieval-Augmented Generation, Agentic AI, and AI observability
- Design and deliver production-grade AI/LLM solutions, build AI systems, implement AI evaluation frameworks, and lead cross-functional teams

10-15 years of software engineering experience.
1. Proven experience designing and delivering production-grade AI/LLM solutions.
2. Strong expertise in Large Language Models (LLMs).
3. Hands-on experience with Retrieval-Augmented Generation (RAG).
4. Experience building Agentic AI systems.
5. Solid software architecture and system design background.
6. API and microservices architecture experience.
7. AI evaluation frameworks implementation experience.
8. AI observability and monitoring experience.
9. Cloud-native application architecture experience.




10. Strong backend engineering fundamentals.
11. Experience working with cross-functional teams and technical leadership.

12. Preferred Requirements
13. LangChain / LlamaIndex / LangGraph experience.
14. Azure OpenAI / OpenAI / Anthropic ecosystem.
15. LangSmith, Langfuse usage.
16. OpenTelemetry implementation.
17. Vector databases (Pinecone, Weaviate, Milvus, Qdrant, ChromaDB).
18. Multi-agent orchestration frameworks.
19. Prompt Engineering expertise.
20. Model optimization and cost governance experience.
21. Kubernetes and container orchestration.
22. AI governance and responsible AI practices.

📌 AI Software Architect / Senior AI Engineer (Hyderabad)
🏢 Quess IT Solutions
📍 Hyderabad