Agentic AI Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply security and governance controls
- Build CI CD pipelines for agent workflows
- Build evaluation frameworks for LLMs and agents
- Build multi agent and single agent workflows
- Design Agentic AI systems
- Design agent orchestration workflows
- Design feedback loops for continuous improvement
- Develop prompt and context engineering strategies
- Ensure observability with tracing
- Fine-tune large language models
- Implement Reasoning Loops
- Implement retrieval and grounding
- Implement tool use and memory
- Integrate agents with enterprise APIs
- Optimize latency cost and scalability
- Use Model Context Protocol systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Autogen | Azure | CI/CD | Caching | Context window | Context window management | Cost Optimization | CrewAI | Docker | Embeddings | Experiment tracking | GCP | Human-in-the-loop | Injection Defense | Instruction Tuning | Knowledge graphs | Kubernetes | LLM-as-a-Judge | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLflow | Model Context Protocol | Monitoring and tracing | PEFT | Prompt engineering | Prompt injection | Prompt injection defense | Python | QLoRA | REST APIs | RLHF | Ragas | React | Retrieval-Augmented Generation | SQL | Safe Tool Execution | Semantic Kernel | Semantic Retrieval | Structured Output | The Loop | Token Cost | Token Cost Optimization | Tool Execution | Vector Databases | Weights and Biases | Window management
Education
N/A
Roles
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