GenAI Engineer

Job Title: Senior AI/GenAI Engineer (Staff-Aug)

Experience: 6+ years

Location: Noida

Responsibilities:

• Design, develop and implement AI/GenAI solutions and reusable accelerators for enterprise use cases.
• Develop RAG, conversational AI, document intelligence, AI agent and automation solutions.
• Evaluate and integrate open-source models/frameworks and Azure/AWS AI services based on solution requirements.
• Develop POCs and prototypes for emerging AI/GenAI technologies and convert successful solutions into reusable accelerators.
• Design and optimize AI/GenAI application architecture, model integration and inference pipelines.
• Evaluate and improve model quality, accuracy, scalability, latency and cost.
• Identify technical challenges and propose effective AI/GenAI solutions.
• Collaborate with architects, developers, data and cloud teams to integrate AI capabilities into enterprise applications.
• Contribute to AI/GenAI reference architectures, engineering standards and reusable implementation patterns.
• Stay updated with latest advancements in AI/GenAI technologies and evaluate their applicability to the organization’s roadmap.

Must Have Skills:

• Strong programming skills in Python.

• Strong understanding of AI/ML, NLP, Deep Learning, Transformers and LLMs.

• Hands-on experience with Generative AI, RAG, embeddings, vector search and AI agents.

• Experience with GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent.

• Experience with commercial and/or open-source LLMs and foundation models.

• Hands-on experience with Azure AI/Azure OpenAI and/or AWS AI/ML services.

• Experience developing and deploying AI/GenAI solutions in production environments.

• Good understanding of prompt engineering, RAG, LLM evaluation and performance/cost optimization.

• Experience with open-source models/frameworks such as Hugging Face, Llama, Mistral, Qwen, vLLM or Ollama.

• Experience with MCP, advanced RAG, Graph RAG, hybrid search or reranking.

Good To Have Skills:

• Experience with fine-tuning techniques such as LoRA, QLoRA or PEFT.

• Experience with PyTorch/TensorFlow, CUDA, TensorRT or GPU-based inference.

• Experience developing reusable AI/GenAI accelerators or platforms.

Pay: ₹80,000.00 - ₹150,000.00 per month

Experience:

• GenAI: 6 years (Required)
• Agentic AI : 5 years (Required)
• Rag/MCP: 5 years (Required)
• AWS: 5 years (Preferred)
• Azure: 5 years (Preferred)
• GCP: 5 years (Preferred)

Work Location: In person