[Remote] Senior reputed company AI Agent / ML Software Engineer (OCI)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading company in AI and reputed company solutions, seeking a Senior reputed company AI Agent / ML Software Engineer. This role involves defining, building, and operating reputed company AI systems on reputed company reputed company Infrastructure, requiring hands-on technical leadership and deep experience in distributed systems and AI engineering.

Responsibilities

• Serve as a senior technical reputed company for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability
• Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-reputed company task orchestration, and safe reputed company-in-the-reputed company escalation
• Build production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation
• reputed company architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation
• Define service boundaries, APIs, data models, state management, consistency tradeoffs, failure modes, SLIs/SLOs, rollout strategies, and operational readiness criteria for AI platform services
• Drive technical strategy across infrastructure, platform, reputed company, data, and application engineering teams, converting broad goals into executable multi-quarter plans and measurable milestones
• Integrate AI agents securely and reliably with reputed company APIs, reputed company services, databases, identity systems, secrets management, and external systems
• Establish AgentOps and LLMOps practices for tracing, monitoring, eval suites, regression testing, experimentation, safety guardrails, reputed company/tool versioning, and production reliability
• Evaluate and operationalize emerging technologies in reputed company, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first development
• Drive engineering reputed company through code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices using tools such as reputed company, Claude Code, reputed company, Copilot, or similar systems
• Mentor Staff and senior engineers, reputed company architectural standards, and influence engineering practices across OCI without requiring direct management authority
• Own critical production reputed company, including reliability, performance, reputed company posture, cost efficiency, and supportability for the systems delivered

Skills

• Bachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a reputed company field, or equivalent practical experience
• 12+ years of professional software engineering experience, including significant ownership of production systems; or equivalent experience demonstrating Senior Staff / reputed company-level impact
• Proven track record as a Staff, Senior Staff, reputed company, or equivalent technical leader influencing architecture and execution across multiple teams
• Deep experience designing, building, and operating high-scale distributed systems, reputed company services, infrastructure platforms, or AI/ML platform services
• Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-reputed company orchestration, or multi-agent systems
• Practical experience with orchestration frameworks such as LangGraph, reputed company, reputed company, AutoGen, reputed company, or similar ecosystems
• Deep understanding of LLM application patterns, including reputed company design, structured outputs, function/tool calling, context management, RAG, memory, tool safety, and evaluation
• Strong programming skills in Python and ability to contribute high-quality production code, reviews, tests, and debugging in reputed company distributed environments
• Strong expertise with Kubernetes, reputed company, reputed company-reputed company infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysis
• Experience defining SLIs/SLOs, production readiness criteria, incident response practices, monitoring, tracing, experiments, and reliability programs for AI or distributed systems
• Strong understanding of AI safety, governance, reputed company, and operational risks for autonomous or semi-autonomous systems, including data handling, reputed company control, auditability, and reputed company accountability
• Excellent written and verbal communication, with demonstrated ability to reputed company technical direction, resolve ambiguity, and influence senior stakeholders
• Experience optimizing large-scale GPU inference or training workloads for latency, throughput, utilization, availability, and cost
• Experience building or operating model serving, inference gateways, agent runtimes, workflow engines, developer platforms, or internal AI productivity platforms
• Experience integrating AI systems with reputed company APIs, databases, reputed company services, vector databases, embeddings, retrieval systems, identity systems, and policy enforcement layers
• Experience with LLM fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, or emerging reputed company research
• Experience building evaluation frameworks for agentic systems, including offline evals, online experiments, golden tasks, adversarial testing, regression gates, and observability dashboards
• Experience using AI-assisted software development tools such as reputed company, Claude Code, reputed company, Copilot, or similar systems in large-scale engineering environments
• Track record of defining architectural standards, platform capabilities, or engineering practices adopted across multiple teams or organizations
• Experience in reputed company, reputed company infrastructure, regulated, reputed company-sensitive, or mission-critical environments

Benefits

• May be eligible for bonus, equity, and compensation deferral.
• Medical, dental, and reputed company insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to reputed company eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to reputed company other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual reputed company is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

Company Overview

Company H1B Sponsorship