We are looking for an experienced Artificial Intelligence Engineer to design, develop, and deploy next-generation AI-driven applications powered by Large Language Models (LLMs), Agentic AI workflows, and Generative AI technologies.

The ideal candidate will have strong expertise in building scalable AI solutions, developing RAG-based systems, integrating knowledge-driven architectures, and creating production-grade backend services using Python.

Location : Bengaluru, Cochin, Pune, Hyderabad

Key Responsibilities :

1. Design and develop AI-powered applications leveraging :

- Large Language Models (LLMs)

- Generative AI

- Agentic AI workflows

- Intelligent automation frameworks

2. Build and implement advanced AI architectures including :

- Retrieval Augmented Generation (RAG) systems

- Semantic search layers

- Knowledge graph integrations

- Context-aware AI applications

3. Develop scalable backend services and APIs using :

- Python

- FastAPI

- Modern AI/ML engineering practices

4. Design and orchestrate AI workflows using frameworks such as :

- LangGraph

- LangChain

- Agent-based architectures

5. Integrate AI applications with external services, APIs, and enterprise systems.

6. Ensure application quality through :

- Code reviews

- Unit testing

- Performance optimization

- Scalability and reliability improvements

7. Collaborate with cross-functional teams to understand business requirements and deliver production-ready AI solutions.

Required Skills & Experience :

- 8-15 years of experience in software engineering, AI engineering, or related domains.

1. Strong hands-on experience in :

- Generative AI

- LLM application development

- Agentic AI workflows

- AI application architecture

2. Strong programming expertise in Python.

3. Experience building backend services using FastAPI or similar frameworks.

4. Experience developing :

- RAG pipelines

- Semantic layers

- Knowledge graph-based solutions

5. Experience with AI orchestration frameworks :

- LangGraph

- LangChain

- Agent workflows

6. Strong understanding of API integrations, software development lifecycle, and production deployment practices.

Preferred Skills :

1. Experience with :

- Prompt engineering

- Vector databases

- Embeddings

- LLM evaluation techniques

- Cloud-based AI services

- MLOps practices

- Enterprise AI solution development

Ideal Candidate Profile :

- A technology professional who can bridge the gap between AI research concepts and enterprise-grade implementation, building reliable and scalable AI products using modern Generative AI technologies.