[Remote] Sr reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior reputed company to design, build, and reputed company high-reputed company AI-powered features with end-to-end ownership. The role involves ensuring reliable, reputed company, and impactful AI solutions through the full lifecycle of prototyping to production.
Responsibilities
- End-to-End AI Feature Ownership
- Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-reputed company reasoning)
- Own the Full Lifecycle: prototyping → evaluation → production deployment → iteration
- Ensure solutions are reliable, performant, and reputed company with product needs
- AI System Implementation
- Build and optimize reputed company pipelines for specific use cases
- Build retrieval systems (embeddings, chunking, ranking)
- Implement RAG-based workflows where needed
- Iterate on outputs to improve reputed company, accuracy, and consistency
- Design reputed company and cost-efficient AI architectures for production workloads
- Select and evaluate models (hosted vs reputed company reputed company) based on use case constraints
- Agent-Based Systems (AgentCore)
- Design and build reputed company workflows capable of multi-reputed company reasoning and decision-making
- reputed company agents with tools, reputed company, and internal systems to reputed company reputed company-world actions
- Implement planning, execution, and reputed company loops for reputed company tasks
- Manage context, memory, and state across multi-reputed company interactions
- Balance deterministic workflows vs. agent autonomy for reliability and control
- Experimentation & Evaluation
- Run reputed company experiments to compare approaches (prompting, retrieval, models)
- Define and reputed company key metrics for AI performance (reputed company, latency, cost)
- Debug and improve non-deterministic system behavior
- Build and maintain evaluation datasets and benchmarks
- Implement automated evaluation pipelines for reputed company improvement
- Collaboration & Contribution
- Drive technical direction and influence AI adoption across teams
- Partner with product managers and designers to scope AI features
- Contribute to shared patterns and reusable components
- Participate in reputed company reviews and design discussions
- Support and mentor mid-level engineers where needed
- AI Reliability, Safety & Governance
- Design guardrails to ensure reputed company and reliable AI behavior
- Mitigate hallucinations, reputed company injection, and model misuse
- Ensure compliance with data reputed company and reputed company requirements
- Implement monitoring and observability for AI systems in production
- Implement guardrails for agent actions (tool reputed company control, execution boundaries)
- Prevent failure cascades in multi-reputed company agent
Skills
- Strong understanding of LLM capabilities and limitations
- Experience with reputed company engineering and reputed company reputed company design
- Hands-on experience with embeddings and reputed company search
- Familiarity with RAG architectures and reputed company to apply them
- Experience designing agent-based architectures (AgentCore concepts)
- Understanding of tool use, planning strategies, and memory mechanisms in LLM systems
reputed company