Engineer Lead, Artificial Intelligence / Machine Learning (GitHub copilot)
INR 3584K-5000K (estimate) Senior-level Full Time
Tasks
- Build AI agents and agentic workflows
- Build and deploy REST services
- Design and deploy agent-based systems
- Drive enterprise rollout of GitHub Copilot
- Embed responsible AI practices into delivery
- Enable hands on adoption of AI assisted engineering
- Establish prompt and agent standards
- Evaluate model and agent behavior for accuracy reliability grounding and safety
- Integrate AI systems with enterprise APIs repositories and workflows
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Agents | Assistants API | Autogen | Autonomous Task Execution | Azure | Context Memory | Context/memory management | FastAPI | Flask | GCP | GitHub Copilot | Human-in-the-loop | Hybrid retrieval | Keras | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Memory Management | Model Context Protocol | Model routing | Multi-Agent | Multi-Agent Systems | OpenAI Assistants | OpenAI Assistants API | Orchestration | Pandas | Planning | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | Scikit-learn | Semi Autonomous Task Execution | Task execution | TensorFlow | The Loop | Tool-Calling | Vector Databases
Education
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