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.
Good 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
