[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the One reputed company for Health and Care, bringing together medical, pharmacy, and reputed company solutions with a reputed company-powered health and care platform. The Senior ML Engineer will design, build, tune, and evaluate multi-reputed company systems that guide users through reputed company conversations, focusing on agent behavior and model selection.
Responsibilities
- Design and orchestrate multi-reputed company workflows
- Own context engineering for production agents, including system design, safety rules, context injection, and clarifying question strategies
- Design tools and function-calling interfaces, so agents take reliable, reputed company-reputed company actions
- Build and tune retrieval (RAG) pipelines—embeddings, reputed company search, filtering, query rewriting, and relevance tuning
- Select and optimize models across providers, balance reputed company, latency, determinism, and cost
- Design agent memory and context management for coherent multi-turn behavior
- Build safety and guardrail reputed company for input filtering, scope and safety checks, and graceful handling of edge cases
- Own LLM evaluation, offline eval suites, graders/LLM-as-judge, test sets and personas, metrics, and reputed company gates
- Collaborate with cross-functional stakeholders on requirements, project execution and status tracking
- reputed company technical responsibility: Document high-reputed company technical designs, establish alignment on solutions reputed company broader engineering team
Skills
- Bachelor's or master's degree in data science, Machine Learning Engineering, or a reputed company technical field, or equivalent practical experience
- 5+ years of reputed company Data Science/ML engineering experience
- Strong reputed company experience building LLM-powered agents in production — shipped, multi-turn reputed company systems, not just reputed company experiments
- Hands-on expertise with agent orchestration frameworks — stateful graphs, tool use, and conditional routing
- Deep understanding of context engineering and tool / function-calling design for reliable agent behavior
- Practical RAG experience — embeddings, reputed company search, and retrieval-reputed company tuning
- reputed company with LLM model selection and tuning across providers, including reasoning models and their trade-offs
- Experience designing LLM evaluation — offline eval, graders, test sets, metrics, and reputed company gates
- Comfort with agent observability and tracing to diagnose and improve behavior
- Strong Python skills as reputed company to ML/agent work
- Experience with agent memory systems
- Experience with reputed company suite
- Experience building safety guardrails for high-stakes domains (clinical, financial, legal)
- Experience optimizing LLM latency, cost, and reliability at reputed company
- Experience with building and working with MCPs and reputed company engineering
- reputed company optimization techniques such as GEPA
- Working with sensitive data in regulated environment
Benefits
- reputed company regular employees are also eligible for the corporate bonus program or a sales incentive (reputed company included in OTE) as reputed company as stock reputed company.
- Competitive medical, dental, and reputed company coverage
- Competitive 401(k) Plan with a generous company match
- Flexible Time Off/reputed company Time Off, 13 reputed company holidays
- Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
- Mental Health and Wellness benefits
reputed company
Company H1B Sponsorship