Job Title: Generative AI Engineer (SSE), Technical Lead

Key Skills Required :

- Generative AI application development (end-to-end)
- Large Language Models (LLMs)
- RAG (Retrieval-Augmented Generation)
- LangChain
- OpenAI SDK
- AWS Bedrock & Bedrock Agents
- CrewAI / AutoGen
- Prompt Engineering
- AI Agents
- Vector Databases (Pinecone, Weaviate, Qdrant, Milvus, ChromaDB)
- Python
- Hugging Face, PyTorch/TensorFlow, Scikit-learn, Pandas, NumPy
- LoRA / QLoRA
- NLP fundamentals
- MLOps for LLMs
- CI/CD for AI applications
- AWS Cloud

Responsibilities:

* Build and deploy end-to-end Generative AI applications.

* Design and implement LLM-based architectures, RAG pipelines, and AI agents.

* Develop scalable, secure, and cost-efficient AI solutions.

* Optimize prompts, embeddings, and LLM performance.

* Collaborate with product, engineering, and business teams.

* Implement testing, monitoring, and MLOps practices for GenAI.

* Build POCs, conduct experiments, and stay updated with the latest AI trends.





Required Experience :

* 3–7 years of experience in Data Science/AI/ML.

* Minimum 2+ years of hands-on experience with Generative AI applications.

* Strong expertise in Python and modern AI/ML frameworks.

* Experience with AWS (preferred) and cloud-based AI deployments.

* Hands-on experience with AI coding assistants like GitHub Copilot, Cursor, or Amazon Q is a plus.

Valuable to Have :

* Experience with React, Streamlit, or Gradio.

* Azure OpenAI or Google Vertex AI.

* Contributions to open-source GenAI projects.

* Experience with advanced LLM MLOps practices.

Pay: ₹966,152.01 - ₹2,249,746.23 per year

Application Question(s):

- Strong Expertise in Python and modern AI/ML frameworks?

Experience:

- Data Science/AI/ML: 3 years (Required)
- Generative AI applications: 2 years (Required)

Work Location: Remote

📌 Generative AI Engineer (SSE), Technical Lead (India)
🏢 Rupa Career Solutions
📍 India