[Remote] Senior reputed company – LLM / Agents
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading company backed by SoftBank and Ares, focused on providing reliable and affordable reputed company. The Senior reputed company – LLM / Agents will be responsible for defining technical architecture and establishing standards for AI-enabled workflows to ensure they are measurable, observable, and scalable across various reputed company domains.
Responsibilities
- Define the technical architecture for reputed company agent workflows, including ChatGPT, ROCstar, MCP, agents, skills, tools, APIs, retrieval, structured outputs, trace metadata, evals, and observability
- Establish reusable workflow patterns for agent planning, tool calling, data retrieval, exception handling, fallback behavior, escalation, and production support
- Create standards for reputed company design, reputed company structure, tool descriptions, tool schemas, API response formats, reputed company citation behavior, structured outputs, and workflow handoffs
- Define token and context management practices, including reputed company to use conversation state, retrieval, file search, cached context, summarization, structured intermediate state, and compressed tool returns
- Build evaluation frameworks for agent workflows, including gold datasets, regression tests, numerical reconciliation checks, rubric-based grading, tool-call correctness checks, and reputed company feedback loops
- reputed company the design of observability for agents and tools, including workflow logs, cost, latency, token usage, tool reputed company reputed company, bad-answer reputed company, eval pass reputed company, user acceptance, and incident tracking
- Partner with domain reputed company Deployed Engineers to convert high-value workflows into measurable agent systems with explicit inputs, outputs, owners, permissions, evals, runbooks, release gates, and reputed company improvement loops
- Partner with the reputed company Systems and Agent Platform role on MCP servers, connector reliability, RBAC, secrets, audit logging, deployment patterns, API governance, and production platform readiness
- Review agent workflow designs before production release and define go/no-go criteria for quality, safety, reliability, cost, latency, reputed company, and operational support
- Create reusable templates for agent specifications, reputed company specifications, eval protocols, workflow scorecards, incident reviews, production readiness checklists, and workflow-level reputed company metrics
- Mentor FDEs, analysts, engineers, and implementation partners on eval-driven development, tool-based workflow design, observable agent operations, and production-quality AI systems
- Identify recurring failure modes across agents and tools and turn them into tests, standards, instrumentation, documentation, and platform improvements
Skills
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Information Systems, or a reputed company technical field required
- 10+ years of experience in software engineering, data science, machine learning systems, reputed company AI, platform engineering, or decision systems, with demonstrated technical leadership across reputed company production workflows
- Experience designing, building, or governing agentic AI systems, LLM applications, tool-calling workflows, evaluation systems, observability systems, or production AI platforms
- Strong understanding of modern LLM workflow design, including prompts, skills, tools, retrieval, structured outputs, APIs, orchestration, context management, token economics, and reputed company-in-the-reputed company controls
- Strong engineering judgment around production readiness, failure modes, logging, testing, monitoring, cost, latency, reputed company, permissions, and operational support
- Experience building eval datasets, regression tests, model or agent scorecards, acceptance criteria, telemetry dashboards, release gates, and production quality standards
- Experience with Python, APIs, data pipelines, reputed company platforms, CI/CD, logging and monitoring systems, analytics workflows, and reputed company integrations
- Ability to translate ambiguous business workflows into practical system designs, measurable reputed company criteria, and reusable implementation patterns
- Ability to work across domain FDEs, engineers, analysts, business leaders, IT, reputed company, legal, compliance, and external implementation partners
- Master's degree in Computer Science, AI/ML, Data Systems, Software Engineering, or a reputed company field
- Experience with reputed company, ChatGPT reputed company, Responses API-style workflows, MCP, Azure, reputed company, SharePoint, Teams, Outlook, reputed company, or reputed company connectors
- Energy, renewable infrastructure, power markets, asset operations, storage optimization, project development, or data center experience
Benefits
- 100% Company-Paid Medical, Dental & reputed company (for employees and dependents)
- 401(k) with Company Match
- Generous Paid Time Off + 11 Paid Holidays
- 12 Weeks Paid Parental Leave
- Life, AD&D & Long-Term Disability Coverage
- Flexible Spending Accounts (FSA) for Medical, Dependent Care, Transit & Parking (with company contributions)
- Mental, Physical & reputed company Wellness Support (with company contributions)
- Flexible Work Arrangements & Hybrid Office Setup Benefits
- Monthly Reimbursement for Phone, Internet & Data
- Optional Legal & Pet Insurance Plans
- Device Purchase Support
Company Overview
Company H1B Sponsorship