Job Title : Assistant Manager Generative AI / AI-ML Engineer

Experience : 6 - 8.5 Years

Job Location : Hyderabad / Bangalore / Gurgaon.

Interview Details : Face-to-Face Interview in Hyderabad on 4th July 2026.

Compensation : Up to 27 LPA, and up to ?32 LPA for candidates from Product-Based Companies.

Job Summary :

We are looking for a highly skilled Generative AI / AI-ML Engineer with strong expertise in Python, Machine Learning, Data Science, Large Language Models (LLMs), and Cloud Technologies. The ideal candidate should have hands-on experience building AI Assistants, Chatbots, Agentic AI solutions, and enterprise-grade GenAI applications using modern frameworks and Azure cloud services.

Key Responsibilities :

- Design, develop, and deploy enterprise-grade GenAI applications.

- Build AI Assistants, Chatbots, and Agentic AI solutions using LLMs.

- Implement RAG (Retrieval-Augmented Generation) architectures.

- Develop scalable AI workflows using Python and modern ML frameworks.

- Integrate Azure OpenAI, Gemini, and other LLM services into enterprise applications.

- Design and optimize prompt engineering strategies.

- Work with vector databases, embeddings, and semantic search systems.

- Collaborate with Development, QA, and Product teams for AI-driven solutions.

- Fine-tune and evaluate AI models for performance and accuracy.

- Participate in architecture discussions and solution design.

Required Skills :

- Strong Python programming expertise.

- Hands-on experience in AI/ML, Data Science, and Deep Learning.

- Experience with :

1. Scikit-learn

2. Pandas

3. NumPy

4. TensorFlow

5. PyTorch

- Strong experience with :

1. Generative AI (GenAI)

2. Large Language Models (LLMs)

3. Prompt Engineering

4. AI Agents

5. AI Assistants

6. Chatbot Development

- Hands-on experience with :

1. LangChain

2. RAG Frameworks

3. Vector Databases

4. Embeddings

5. Semantic Search.

- Experience with GitHub Copilot and Google Gemini.

- Strong Azure expertise (Mandatory).

- Azure OpenAI experience (Preferred).

- Experience with cloud integration and deployment.