Specialist, AI Engineering
INR 1200K-2100K (estimate) Mid-level Full Time
Tasks
- Apply agent workflow testing and evaluation
- Build RAG pipelines
- Create reusable agent tooling and integrations
- Design multimodal AI solutions
- Develop genai applications
- Implement agentic AI systems
- Perform prompt engineering
- Support deployment and operationalization on cloud
- Translate business problems into AI solutions
- Use AI developer tooling for development workflows
Perks/Benefits
Skills/Tech-stack
AWS | Agent to Agent | Agent to Agent A2A | AgentOps | Chunking | Cloud Computing | Cloud Platform (GCP | Context Management | Embedding Generation | Embeddings | Google ADK | Google Cloud | Google Cloud Platform | Google Cloud Platform (GCP) | Grounding | LLM Evaluation | LLMOps | Langchain | Language Models | Large Language Models | Learning operations | Logging | MCP | MLOps | Machine Learning | Machine Learning Operations | Model Context Protocol | Model Context Protocol MCP | Multimodal AI | NLP | Observability | Prompt engineering | Protocol MCP | PyTorch | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | TensorFlow | Tokenization | Tracing | Transformers
Education
Master of Applied Science | Master of Engineering | Master of Science
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
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