Senior Technical Lead - Generative AI
Tasks
- Add guardrails and hallucination mitigation
- Architect Agentic AI solutions
- Build cloud native enterprise architectures
- Build memory and planning capabilities
- Create RAG pipelines
- Deploy and monitor LLM models
- Design APIs and microservices
- Design generative AI systems for production
- Develop model routing and fine tuning workflows
- Develop multi agent reasoning agents
- Evaluate and select foundation models
- Implement LLM testing and evaluation
- Implement prompt engineering strategies
- Implement tool and function calling workflows
- Lead architecture and code reviews
- Mentor AI/ML and backend engineers
- Perform vector search and hybrid retrieval
- Run AI LLMOps lifecycle management
- Set up observability and monitoring
Perks/Benefits
- Cross-functional collaboration
- Hands-on technical leadership
- Mentorship and Engineering Development
- Remote work
Skills/Tech-stack
API Development | AWS | Agentic AI | Autogen | Azure | Cloud Native | Cloud Native Architecture | CrewAI | Embeddings | Fine Tuning | GCP | Generative AI | Guardrails | Hallucination mitigation | Hybrid retrieval | LLMOps | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | MLOps | MLflow | Microservices | Model Evaluation | Model routing | Model safety | Monitoring | Observability | PEFT | Privacy Compliance | Prompt engineering | Python | RAG | RLHF | Red Teaming | Responsible AI | Retrieval-Augmented Generation | Security Compliance | Vector Databases | Vector Search | Weights and Biases
Education
N/A
Roles
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