IN-AssociateGenerative AI EngineerEmerging BusinessAdvisoryNoida

Job Description & Summary:We areseekinga highly skilled and innovativeGenAI Engineerto join our dynamic team. The ideal candidate willbe responsible fordesigning developing and deploying scalable Generative AI solutions usingstate-of-the-artlarge language models (LLMs) and transformer architectures. This includes building intelligent applications orchestrating model workflows and integrating GenAI capabilities into enterprise systems.

This role demands deepexpertiseinPythonPyTorch andHugging Face Transformers along with hands-on experience in deploying solutions onAzure AWS or GCP. The candidate should be proficient in using orchestration frameworks likeLangChain developing APIs withFastAPIorFlask and managing ML pipelines using tools such asMLfloworWeights & Biases. Familiarity withCI/CD practices for ML including platforms likeAzure MLorSageMaker Pipelines is essential.

Responsibilities:

• Design build and deploy generative AI solutions using LLMs such as OpenAI Anthropic Mistral or open-source models (e.g.LLaMA Falcon).

• Fine-tune and customize foundation models using domain-specific datasets and techniques

• Develop andoptimizeprompt engineering strategies to driveaccurateand context-aware model responses.

• Implement model pipelines using Python and ML frameworks such asPyTorch Hugging Face Transformers orLangChain.

• Agentic AI implementationexpertiseusingC orLang chain

• Collaborate with data engineers andMLOpsteams toproductionizeGenAI models on cloud platforms (Azure/AWS/GCP).

• Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex

• Ensure robustness scalability and compliance of AI models in deployment environments.

• Good to have experience in finetuning models

• Good to have experience in SLM

• Integrate GenAI into enterprise applications via APIs or custom interfaces.

• Evaluate model performance using quantitative and qualitativemetrics andimprove outputs through iterative experimentation.

• Keep up to date with the latest research in GenAI foundation models and relevant open-source tools.

Mandatory skill sets:

• Generative AI (LLMs Transformers)

• PythonPyTorch Hugging Face Transformers

• Azure/AWS/GCP cloud platforms

• LangChain/Langgraphorsimilar orchestration frameworks

• REST APIsFastAPI Flask

• ML pipeline tools (MLflow Weights & Biases)

• Git CI/CD for ML (e.g. Azure ML SageMaker pipelines)

Preferred skill sets:

• RAG (Retrieval-Augmented Generation)

• Vector DBs (FAISS PineconeWeaviate)

• Streamlit/Gradiofor prototyping

• Docker Kubernetes (for model deployment)

• Data preprocessing & feature engineering

• NLP libraries:spaCy NLTK Transformers

Years of experience:

3to5years

Education qualification:

B.E///MCA