Principal AI Engr
Bengaluru, Karnataka, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build LLM and RAG platform capabilities
- Build reusable AI frameworks and SDKs
- Create AI operating model and adoption plan
- Define AI vision and maturity roadmap
- Develop agent and autonomous agent solutions
- Drive DevSecOps and release automation for AI systems
- Embed AI copilots and conversational AI into products
- Establish model evaluation and monitoring pipelines
- Implement responsible AI security privacy governance
- Lead cross functional execution for AI production adoption
- Lead enterprise AI strategy for process and industrial automation
- Measure ROI and engineering productivity outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Observability | AI Search | AI auditing | Agent systems | Agentic AI | Autonomous Agents | Azure AI | Azure AI Foundry | Azure AI Search | Azure ML | Azure OpenAI | Cloud Native | Compliance | Containers | Conversational AI | Cost governance | Data Governance | DevSecOps | Embeddings | Generative AI | GitHub Copilot | Google Vertex | Google Vertex AI | Knowledge graphs | Kubernetes | LLM APIs | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Copilot | Model Evaluation | Model Monitoring | Model registries | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | Prompt governance | RAG | Release automation | Retrieval Pipelines | SRE | Security | Vector Databases | Vertex AI
Education
N/A
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