AI Engineer - Agentic
INR 2000K-3500K (estimate) Senior-level Full Time
Tasks
- Apply guardrails and hallucination control
- Build LLM-based applications
- Build using Python
- Containerize and deploy AI services
- Create tool calling agents with memory
- Design system prompts and structured outputs
- Develop agentic workflows
- Execute model fine tuning and optimization
- Expose AI capabilities via APIs
- Implement observability for AI systems
- Implement rag pipelines
- Maintain CI/CD pipelines
- Manage embeddings and vector search
- Optimize prompts and inference cost
- Write modular production code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Arize Phoenix | Async Programming | Autogen | Azure | CI/CD | Context window | Context window management | CrewAI | DVC | Docker | Embeddings | FastAPI | G-Eval | Git | Guardrails | Hallucination detection | Inference Server | Kubernetes | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | LoRA | MLflow | OOP | PEFT | PGVector | Pinecone | Prompt Compression | Prompt engineering | Pydantic | Python | Qdrant | Quantization | REST APIs | Ragas | Reranking | Response Caching | Retrieval-Augmented Generation | SQL | Structured Output | Token optimization | Tool-Calling | Triton Inference | Triton Inference Server | TruLens | Unit Testing | VLLM | Vector Search | Window management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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