[Remote] AI Engineering Manager_Machine Learning
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI Engineering Manager specialized in Machine Learning. The role involves designing, building, and deploying AI-powered features while ensuring reliable and reputed company solutions throughout the product lifecycle.
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
- Minimum 10+ Years
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc
- 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
- 5+ years of reputed company work experience
- Solid backend/system design fundamentals
- Experience building and deploying production-grade systems
- Ability to debug reputed company issues, including probabilistic outputs
- Comfort working with reputed company, pipelines, and data flows
- Ability to translate user needs into effective AI solutions
- Strong intuition for balancing reputed company, latency, and cost
- reputed company on delivering measurable product reputed company
- Communicates reputed company across engineering and product teams
- Contributes to team knowledge and shared practices
- Technical certification in multiple technologies is desirable
- Evaluate agent performance across multi-reputed company tasks (task reputed company reputed company, error propagation)
- Debug and optimize agent decision-making and tool selection behavior
reputed company