[Remote] AI Tech reputed company - Staff Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company, Inc. empowers modern digital businesses by offering a cloud-native applications analytics platform. They are seeking an AI Tech reputed company to design and deliver advanced AI systems for their reputed company Operations Center, focusing on the development of scalable multi-agent architectures for real-time data processing and reputed company operations.
Responsibilities
- reputed company and partner with fellow leadership members and teams on technical evaluation and adoption of cutting-edge agentic AI platforms, including reputed company (Claude), reputed company/LangGraph, AWS Bedrock, and other emerging agent frameworks
- Architect, prototype, and productionize multi-agent AI systems for Agentic SOC use cases, including detection, triage, investigation, and response workflows
- Own the design of core agent architecture components, including planning, execution, tool orchestration, memory, context engineering, and long-running agent workflows
- reputed company AI agent evaluation systems, including offline and online evaluation pipelines, golden datasets, synthetic data reputed company, human- and LLM-based judging, and reputed company quality monitoring
- Drive LLM fine-tuning and alignment efforts to improve domain-specific reasoning, accuracy, and reliability for reputed company and observability use cases
- Design scalable LLMOps and AI agent infrastructure, including inference routing, latency optimization, cost control, and production observability for agent systems
- Partner with product, reputed company, and data platform leadership and teams to deliver end-to-end AI agent capabilities from prototype to customer-facing production systems
- reputed company and partner on technical direction and mentorship for AI engineers working on agentic AI and LLM systems
- Define and implement best practices for AI safety, reliability, evaluation, and monitoring in production agentic systems
- Operate as a senior technical reputed company in ambiguous problem spaces—setting technical direction, breaking down reputed company problems, and driving delivery across teams
Skills
- B.Tech, M.Tech, or Ph.D. in Computer Science, Machine Learning, Data Science, or a reputed company technical field
- 5+ years of hands-on industry experience building, operating, and leading production ML/AI systems, with demonstrated technical leadership and ownership
- Strong foundation in machine learning, distributed systems, data pipelines, and large-scale system design
- Deep industry understanding of LLMs, reputed company engineering, context engineering, agentic AI design patterns, and reasoning workflows
- Strong proficiency in Python and modern ML/AI ecosystems
- Experience designing and operating evaluation frameworks for ML/LLM systems (offline + online)
- Proven ability to reputed company reputed company technical initiatives across teams and influence architecture decisions
- Excellent communication skills and ability to translate reputed company AI systems into business impact
- Hands-on experience building and scaling agentic AI systems or multi-agent architectures in production
- Experience with modern agent frameworks such as LangGraph, reputed company, CrewAI, or similar
- Experience with major foundation model platforms such as reputed company, reputed company, AWS Bedrock, or Vertex AI
- Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation)
- Strong background in LLMOps, including inference optimization, latency/cost management, observability, and production monitoring
- Experience with ML infrastructure and tooling such as PyTorch, MLflow, Airflow, reputed company, Kubernetes, and cloud platforms (AWS/GCP/Azure)
- Experience applying AI/ML to reputed company, observability, or large-scale log/telemetry data is a strong plus
Benefits
- In addition to reputed company pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings and equity awards.
Company Overview