Engineering Lead

Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform.

We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.

We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale.

You're an experienced engineering leader who has built and scaled high-performing engineering teams while delivering complex software platforms from concept to production. You thrive at the intersection of technical leadership, product strategy, and execution, helping teams solve challenging engineering problems while maintaining a strong focus on customer outcomes.

You have a strong background in distributed systems, cloud infrastructure, AI platforms, or enterprise software. You're comfortable making architectural decisions, mentoring engineers, driving engineering excellence, and collaborating across product, design, customer success, and leadership teams.

You're product-minded and understand that every technical decision impacts scalability, reliability, developer experience, and customer success. You enjoy working in fast-moving environments where ownership, execution, and innovation go hand in hand.

Technical Leadership & Architecture

• Lead the design and development of Aion's core platform and infrastructure, ensuring scalability, reliability, and performance.
• Drive high-level architecture discussions and establish engineering standards across multiple products and services.
• Make strategic technical decisions balancing product requirements, engineering velocity, and long-term platform sustainability.
• Review system designs, technical proposals, and implementation plans to ensure engineering excellence.

Engineering Management

• Lead, mentor, and grow a high-performing team of software engineers.
• Foster a culture of ownership, collaboration, continuous learning, and technical excellence.
• Establish engineering best practices across code quality, testing, documentation, security, and operational readiness.
• Support hiring, onboarding, performance management, and career development of engineering team members.

Product Delivery & Execution

• Partner closely with Product, Design, AI, Infrastructure, and Customer Success teams to translate business requirements into scalable technical solutions.
• Drive project planning, execution, prioritization, and delivery across multiple engineering initiatives.
• Ensure timely delivery of high-quality software while balancing technical debt and platform investments.
• Collaborate with customers to understand deployment challenges and translate feedback into product improvements.

Platform Reliability & Operations

• Build resilient, highly available systems capable of supporting enterprise-scale AI workloads.
• Drive improvements in platform performance, observability, monitoring, incident response, and operational excellence.
• Optimize development workflows, CI/CD pipelines, release processes, and engineering productivity.
• Establish scalable engineering processes that support rapid company growth.

Cross-functional Collaboration

• Work closely with executive leadership to align engineering strategy with business objectives.
• Collaborate across engineering teams to drive platform consistency, architectural alignment, and knowledge sharing.
• Represent engineering in customer discussions, technical workshops, and strategic planning sessions.
• Contribute to the long-term technology vision and roadmap for Aion's enterprise AI platform.

• 8+ years of experience building and scaling software platforms, distributed systems, or enterprise applications.
• 2+ years of experience leading engineering teams in a fast-paced startup or high-growth environment.
• Strong proficiency in Golang is preferred. Experience with Python, Rust, Java, or C++ is a plus.
• Deep understanding of distributed systems, microservices architecture, cloud-native applications, and API design.
• Experience with Kubernetes, Docker, cloud platforms, and Infrastructure-as-Code.
• Strong knowledge of databases, caching systems, messaging platforms, and event-driven architectures.
• Experience building highly scalable, low-latency, production-grade systems.
• Familiarity with AI infrastructure, LLM deployment, inference systems, orchestration platforms, or MLOps is highly desirable.
• Experience implementing observability using Prometheus, Grafana, OpenTelemetry, and distributed tracing.
• Strong understanding of software security, authentication, authorization, and enterprise deployment practices.

• AI Platform Engineering: Experience building AI platforms, model serving infrastructure, orchestration systems, or enterprise AI products.
• Cloud Infrastructure: Experience with AWS, Azure, GCP, Kubernetes Operators, Terraform, or platform engineering.
• Enterprise Software: Experience building multi-tenant SaaS platforms, customer VPC deployments, or on-premises enterprise solutions.
• Developer Experience: Experience building internal developer platforms, SDKs, APIs, developer tooling, or engineering productivity platforms.
• Startup Leadership: Experience scaling engineering teams from early-stage startup to growth-stage organizations

• Founder-level ownership and bias for action.
• Strong strategic thinking and ability to connect technical decisions to business impact.
• Excellent communication and mentoring skills.
• Thrives in ambiguity, fast-paced environments, and early-stage startup culture.

• Work directly with high-pedigree founders shaping technical and product strategy.
• Build infrastructure powering the future of AI compute globally.
• Significant ownership and impact with equity reflective of your contributions.
• Competitive compensation, flexible work options, and wellness benefits