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Staff Engineer - AI Platform

2 hours, 18 minutes ago
India
Full-time
Lead
Machine Learning Engineer
DevOps and Infrastructure
AWS GCP Go Grafana Microservices Node.js OpenSearch Prometheus Python
Apply Now
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised
View All Jobs 74

Description

  • Architect and build production-grade agentic systems with orchestration, planning, memory, context management, and human-in-the-loop controls.
  • Develop shared AI platform capabilities, including agent frameworks, MCP and tool integrations, LLM gateways, and prompt/model versioning.
  • Establish evaluation, tracing, observability, and monitoring practices for AI quality, latency, cost, and safety.
  • Build AI-driven engineering workflows and automation that improve developer velocity and reduce operational toil.
  • Design and manage GCP/AWS infrastructure for AI workloads, including provisioning, scaling, security, and cost governance.
  • Implement guardrails, scoped permissions, sandboxing, prompt-injection defenses, audit trails, and graceful degradation.
  • Own technical standards, design reviews, architecture decisions, and continuous optimization of AI platform reliability and cost.
  • Mentor engineers and collaborate with product engineering, SRE, infrastructure, security, and leadership teams.

Requirements

  • 12+ years of software engineering experience, including significant senior or staff-level individual-contributor experience.
  • At least 1+ year architecting production agentic systems involving multi-step tool use, orchestration, memory, context management, and guardrails.
  • Expert proficiency in Go, Python, or Node.js.
  • Hands-on experience writing and reviewing code, debugging production issues, and designing systems; purely managerial experience in the last 1+ year is not suitable.
  • Strong knowledge of LLM application fundamentals, including function calling, MCP, retrieval, context engineering, prompt/model management, and evaluation methods.
  • Deep AI observability experience using tools such as Prometheus, Grafana, ELK/OpenSearch, or equivalent.
  • Strong distributed-systems expertise covering consistency, availability, fault tolerance, scaling, and trade-offs.
  • Demonstrated enterprise cloud cost optimization, including LLM inference and token-spend management through routing, caching, and budgets.
  • Practical GCP and/or AWS experience with provisioning, scaling, IAM, networking, and cost governance; 3+ years on enterprise-scale platform teams preferred.
  • Proven technical leadership without authority, data-driven decision-making, strong communication, and open-source or published agentic-systems work preferred.

Benefits

  • Remote-first work environment across a global organization.
  • Equal opportunity employer with voluntary demographic information collection kept separate from hiring decisions.
  • Access to a large-scale AI and platform engineering environment supporting businesses in 150+ countries.

Interested in this position?

Apply directly on the company website

Apply Now

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