Sr. AI / ML Engineer – OpenAI Expert
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering and token optimization
- Architect and implement agentic RAG systems
- Build enterprise chatbots and AI automation workflows
- Build scalable ML pipelines for LLM workflows
- Design and execute fine tuning strategies for domain datasets
- Develop semantic search and retrieval layers with vector databases
- Establish AI engineering best practices and reusable components
- Implement multi agent pipelines with tool use and memory
- Integrate OpenAI APIs for structured outputs embeddings and vision
- Lead end to end design and delivery of OpenAI powered solutions
- Monitor model performance cost efficiency and safety in production
- Translate business requirements into AI system architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Agent systems | Agentic AI | Agents SDK | Assistants API | Async Programming | Azure AI | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Bias detection | CI/CD | Embeddings | Entity recognition | Fine Tuning | Function Calling | GPT-4o | Hallucination mitigation | Langchain | Langgraph | Llamaindex | MLOps | MLflow | Model Benchmarking | Multi-Agent | Multi-Agent Systems | NLP | Named Entity Recognition | OpenAI API | OpenAI Agents | OpenAI Agents SDK | OpenAI Service | OpenAI evals | PGVector | Pinecone | PyTorch | Python | RAG | Red Teaming | Safety Guardrails | Scikit-learn | Semantic similarity | Structured outputs | Summarization | TensorFlow | Tokenization | Vector Databases | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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