AI Software Architect / Senior AI Engineer

Quess IT Solutions; Hyderabad; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

Quess IT Solutions in Hyderabad is seeking a senior software engineer to lead the design and delivery of production-grade AI/LLM solutions. Expect to work on end-to-end architectures, spanning retrieval-augmented generation and multi-agent frameworks.

The role emphasizes strong backend fundamentals, cloud-native patterns, and collaboration with cross-functional teams to drive scalable AI initiatives.

Qualifications

• 10–15 years of software engineering experience.
• Proven experience delivering production-grade AI/LLM solutions.
• Strong expertise in Large Language Models (LLMs).
• Hands-on Retrieval-Augmented Generation (RAG).
• Experience building agentic AI systems.
• Strong software architecture and system design background.
• API and microservices architecture experience.
• AI evaluation frameworks implementation experience.
• AI observability and monitoring experience.
• Cloud-native architecture experience.
• Strong backend engineering fundamentals.
• Experience leading cross-functional teams.

Skills

AI/LLM development

RAG implementation

Agentic AI systems

LLMs expertise

Software architecture

API & microservices

AI evaluation frameworks

Observability & monitoring

Cloud-native architecture

Backend fundamentals

Cross-functional leadership

Tools

LangChain

LlamaIndex

LangGraph

Azure OpenAI

OpenAI API

Anthropic ecosystem

LangSmith

Langfuse

OpenTelemetry

Pinecone

Weaviate

Milvus

Qdrant

ChromaDB

Kubernetes

Container orchestration

Multi-agent frameworks

Prompt engineering

Model optimization

Job description

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. Strong 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.

3. Preferred Requirements

1. LangChain / LlamaIndex / LangGraph experience.
2. Azure OpenAI / OpenAI / Anthropic ecosystem.
3. LangSmith, Langfuse usage.
4. OpenTelemetry implementation.
5. Vector databases (Pinecone, Weaviate, Milvus, Qdrant, ChromaDB).
6. Multi-agent orchestration frameworks.
7. Prompt Engineering expertise.
8. Model optimization and cost governance experience.
9. Kubernetes and container orchestration.
10. AI governance and responsible AI practices.