Our MNC client is looking for a Senior AI/GenAI Engineer with strong hands-on expertise in Artificial Intelligence, Machine Learning and Generative AI. This role involves designing, developing and implementing AI/GenAI solutions and reusable accelerators, leveraging open-source technologies as well as Azure and AWS AI services.

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.

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 organizations roadmap.

Prerequisites:

- Qualification – B.Tech/MCA/M.Tech in Computer Science, IT, Data Science or related field.

- 6–10 years of overall IT experience with minimum 4–6 years of relevant AI/ML/GenAI experience.

- Strong problem-solving, analytical and engineering skills.

- Ability to independently design and implement AI/GenAI solutions.

- Good interpersonal and collaboration skills.

- Self-driven with a robust interest in innovation, emerging AI technologies and hands-on experimentation.

- Job location Noida (Hybrid)

📌 Ai Ml Engineer (Noida)
🏢 Futops
📍 Noida