GenAI / GenAI Architect TL/TM/SDM

Role & Responsibilities
Design and develop Generative AI applications using Python for chatbots, summarization, intelligent automation and enterprise use cases.
Develop and fine-tune LLMs and ML models for classification, prediction and decision support.
Design and implement RAG solutions, embeddings, vector search and vector databases.
Work with LangChain, Hugging Face, OpenAI and Pydantic for GenAI application development.
Build and optimize prompts using zero-shot, few-shot and other prompt engineering techniques.
Deploy and scale AI solutions using Azure OpenAI, Azure ML, Azure Functions, Cognitive Services, AWS SageMaker, Lambda and Bedrock.
Integrate GenAI solutions with APIs, enterprise data platforms, Snowflake and business workflows.
Design scalable AI/GenAI architecture and system solutions, including technology selection, deployment and model lifecycle management.
Monitor and optimize model/system performance, scalability, reliability and cost.
Ensure AI solutions follow appropriate security and compliance standards.




Collaborate with Data Scientists, ML Engineers and business stakeholders to deliver production-ready GenAI solutions.

Required Skills
6–10 years of overall experience with 3+ years of relevant GenAI experience.
Solid hands-on Python development.
Solid experience with LLMs, RAG, embeddings and vector databases.
Hands-on experience with LangChain, OpenAI and/or Hugging Face.
Robust prompt engineering and LLM/model optimization knowledge.
Experience with Azure / AWS / GCP, particularly GenAI model deployment.
Knowledge of Machine Learning algorithms, training pipelines and model evaluation.
Experience with FastAPI, Pydantic, Pandas and NumPy.
Strong AI system design, architecture, scalability and enterprise integration experience.

Job Details

Location: Bengaluru / Hyderabad
Level: TL / TM / SDM
CTC: Up to 24 LPA
Notice Period: Immediate to 60 days
Interview Drive: We

📌 Gen Ai Bengaluru (India)
🏢 WSNE Consulting
📍 India