AI/ML Lead Engineer
USA-SR100-Stamford, United States
USD 180K-212K Senior-level Full Time
Tasks
- Build agent workflows for context retrieval reasoning and tool execution
- Contribute to infrastructure decisions for model serving vector databases caching and orchestration layers
- Design production multi agent systems
- Develop distributed services for agent execution with observability
- Embed AI agents and chatbots into client facing platform
- Establish evaluation frameworks for reasoning accuracy groundedness hallucination mitigation and financial correctness
- Implement memory management context handling and agent state persistence
- Implement tools data agents and services for grounded context
- Optimize systems for latency cost efficiency and reliability
- Partner with product design and engineering to translate requirements into agent architecture
- Review interaction issues to refine knowledge bases and agent setups
Perks/Benefits
- 401k match
- Career Development Programs
- Disability benefits
- Education reimbursement
- Healthcare options
- Insurance
- Learning resources
- Paid time off
- Parental leave
- Wellbeing program
Skills/Tech-stack
AWS | Agent systems | Artificial Intelligence | Azure | Cloud platform | Context handling | Distributed Systems | Docker | Evaluation Frameworks | Faiss | Fault Tolerance | Function Calling | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLM | Langchain | Machine Learning | Memory Management | Microservices | Model Governance | Model Serving | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenAI | Orchestration | Pinecone | Python | RAG | Retrieval-Augmented Generation | State management | Tool orchestration | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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