Sr. Specialist, AI Engineering
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering techniques
- Build multimodal AI solutions
- Collaborate to translate business problems into solutions
- Deploy and operationalize AI solutions on AWS and GCP
- Design Agentic AI systems
- Develop agent tooling and integrations
- Develop multi-agent systems
- Establish harness engineering practices
- Implement AgentOps practices
- Integrate with enterprise services using MCP
- Lead AI engineering and mentor teams
Perks/Benefits
Skills/Tech-stack
A2A | AWS | Agent systems | Agent to Agent | AgentOps | Agentic AI | CD | CI | CI/CD | Chain-of-Thought | Chunking | Claude CLI) | Cloud platform | Codex | Context engineering | Data Preprocessing | Databricks | Development Life Cycle | Embeddings | Few-Shot Learning | Few-shot | Function Calling | GitHub Copilot | Google ADK | Google Cloud | Google Cloud Platform | Google Gemini | Harness | LLM | LLMOps | Langchain | Language Processing | Logging | MCP | MLOps | Machine Learning | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Multimodal AI | Natural Language | Natural Language Processing | Observability | Performance Monitoring | Prompt engineering | RAG | React | Semantic Kernel | Software Development Life Cycle | Software development | Supervised Learning | Text processing | Tokenization | Tracing | Transformer | Unsupervised Learning | Vertex AI
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Mathematics | Master of Science in Statistics
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
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