Agentic AI Engineer
Bengaluru, Karnataka, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply security and governance controls
- Build CI CD pipelines for agent workflows
- Build reasoning loops for planning tool selection and re planning
- Create agent orchestration workflows
- Deploy retrieval and grounding with vector databases and embeddings
- Design and build agentic AI systems
- Develop prompt and context engineering strategies
- Ensure observability with tracing and monitoring
- Fine tune LLMs for domain specific applications
- Implement evaluation frameworks for LLMs and agents
- Implement feedback loops for continuous improvement
- Implement tool use memory and fallback mechanisms
- Integrate agents with enterprise APIs
- Optimize latency cost and scalability
- Orchestrate single and multi 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 | GCP | Injection Defense | Instruction Tuning | Knowledge graphs | Kubernetes | LLM-as-judge | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLOps | MLflow | Model Context Protocol | PEFT | Prompt engineering | Prompt injection | Prompt injection defense | Python | QLoRA | REST APIs | RLHF | Ragas | React | Retrieval-Augmented Generation | SQL | Semantic Kernel | Structured Output | Vector Databases | Weights and Biases | Window management
Education
N/A
Roles
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