Senior AI Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Platform Engineer based in United States. This role offers the opportunity to build the AI infrastructure powering a fast-growing, AI-native organization. You will design and scale intelligent systems, automation workflows, and agent-based solutions that improve productivity across the business. The position combines backend engineering expertise, AI platform development, and cross-functional collaboration. You will create the foundations that enable teams to leverage AI safely, efficiently, and at scale. Working closely with engineering, data, operations, and business teams, you will transform ideas into production-ready AI capabilities. This is a high-impact opportunity for an engineer who wants to shape how modern companies operate with AI. You will play a key role in building the next generation of enterprise AI platforms and workflows. \n

Accountabilities: As a Senior AI Platform Engineer, you will own the design, development, and optimization of internal AI platforms, agent systems, integrations, and automation solutions. You will help teams unlock new levels of efficiency by building reliable AI-powered workflows, improving data accessibility, and creating scalable infrastructure that supports company-wide adoption. Design and develop AI agents capable of completing complex multi-step workflows through reasoning, tool usage, automation, and human-in-the-loop processes. Build and maintain the tool and context layer that enables secure AI access to internal systems, data sources, and business applications through APIs, MCP servers, and retrieval systems. Develop, deploy, and improve MCP servers for external SaaS integrations and internal tools while ensuring production readiness, security, and reliability. Create authentication, authorization, and credential management solutions using secure identity patterns and OAuth-based integrations. Establish engineering standards for AI integrations, including deployment practices, monitoring, logging, access controls, and security requirements. Build plugins, skills, and AI workflow extensions that automate repetitive processes and improve productivity across teams. Own improvements to internal data platforms and analytics environments, ensuring data pipelines and structures are optimized for AI-powered use cases. Develop usage tracking and reporting systems to measure AI adoption, identify opportunities, and guide platform investments. Optimize AI platform infrastructure, including compute, storage, networking, and operational costs. Implement security and compliance best practices to ensure responsible, scalable, and auditable AI usage. Collaborate with engineering, data, operations, and business stakeholders to prioritize requests, translate needs into technical solutions, and deliver impactful outcomes. Requirements: The ideal candidate is a highly experienced backend engineer with strong expertise in AI platforms, integrations, automation, and scalable infrastructure. You should be comfortable working in an evolving environment, defining new standards, and translating complex business needs into practical engineering solutions. 8+ years of backend engineering experience building scalable software systems. Hands-on experience with AI agent frameworks, LLM integrations, MCP servers, or AI-powered automation workflows. Strong understanding of backend development principles, APIs, integrations, and distributed systems. Experience working with REST APIs, OAuth 2.0, credential management, and cloud authentication patterns. Experience deploying and operating services using Kubernetes or similar container-based infrastructure. Background in data engineering, analytics platforms, or business intelligence environments. Familiarity with Databricks or similar data warehouse/data lake technologies is a plus. Ability to design secure, reliable systems that balance innovation with operational requirements. Comfortable working without an established playbook and adapting to evolving AI technologies and priorities. Strong communication skills with the ability to connect technical solutions with business objectives. Ability to collaborate across multiple teams and manage competing priorities effectively. Curiosity and practical experience using AI tools to improve workflows, productivity, and problem-solving. Interest in exploring new AI capabilities and integrating generative AI into everyday business processes. Benefits: Competitive annual salary range of $180,000 - $200,000 USD. Fully remote work environment with flexibility to work from anywhere within the country. Opportunity to play a central role in building an innovative AI platform from the ground up. Medical, dental, and vision insurance coverage. Flexible paid time off to support work-life balance. 401(k) retirement plan. Equity awards for eligible roles. Opportunity to work with talented engineers and industry experts. High-impact role within a rapidly growing technology organization. Inclusive workplace culture focused on innovation, collaboration, and continuous learning.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1