Applied AI Engineer – Engineering Intelligence
Chennai, Tamil Nadu, India
INR 2000K-4500K (estimate) Entry-level Full Time
Tasks
- Build LLM powered agents with planning memory and tool use
- Build production-ready AI systems
- Collaborate with CAE and mechanical engineers to translate requirements
- Communicate AI solutions to non AI stakeholders
- Connect external APIs and databases
- Define evaluation frameworks for accuracy reliability and safety
- Design and deploy multi-agent AI systems
- Develop RAG pipelines using simulation data
- Develop agent orchestration pipelines
- Implement guardrails for hallucination mitigation
- Implement vector databases and embedding models
- Integrate AI agents with CAE tools
- Monitor debug and optimize agent performance latency and cost
- Orchestrate simulation workflows end to end
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | API Integration | Agent Orchestration | Agent systems | Autogen | CI/CD | CrewAI | Docker | Embedding Models | Evaluation Frameworks | Function Calling | GCP | Guardrails | LLM tool-use | Langgraph | Language Models | Large Language Models | Microservices | Model Serving | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System Integration | Testing | Tool use | Vector Databases | Version control
Education
Roles
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