Agentic AI Engineer
INR 2000K-4500K (estimate) Mid-level Full Time
Tasks
- Apply agent security and governance controls
- Build CI CD pipelines for agent workflows
- Build multi-agent systems
- Build retrieval and grounding pipelines
- Design Agentic AI systems
- Develop prompt and context strategies
- Ensure agent observability
- Fine-tune LLMs for domain tasks
- Implement Reasoning Loops
- Implement evaluation frameworks
- Implement feedback loops for model improvement
- Implement secure tool orchestration with MCP
- Implement tool use and memory
- Integrate agents with enterprise APIs
- Optimize latency cost and scalability
- Orchestrate agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Autogen | Azure | CI/CD | Context window | Context window management | CrewAI | Docker | Embeddings | Experiment tracking | Fine Tuning | GCP | Injection Defense | Instruction Tuning | Knowledge graphs | Kubernetes | LLM-as-judge | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLOps | MLflow | Model Context Protocol | Monitoring | Observability | PEFT | Prompt engineering | Prompt injection | Prompt injection defense | Python | QLoRA | REST APIs | RLHF | Ragas | React | Retrieval-Augmented Generation | SQL | Semantic Kernel | Structured Output | Tool use | Vector Databases | Weights and Biases | Window management
Education
N/A
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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