Act as a subject matter expert for assigned applications, maintaining deep knowledge of products, industry standards, and market trends
Engage customers, consultants, contractors, and distributors in technical discussions to understand requirements and tailor specification text to proposed solutions
Prepare application-focused training materials and participate in knowledge-sharing sessions for Sales, CSSC, distributors, and customers
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To participate in periodic internal, external audit and all other inspections to ensure effective implementation of all quality procedures and standards throughout the entire operation.
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Prioritize security and performance: Build secure, scalable, and high-performing applications by adhering to best practices and considering security and performance implications in every decision.
Embrace knowledge sharing: Actively contribute to our culture of knowledge sharing by documenting your work, mentoring junior engineers, and participating in knowledge-sharing sessions.
Drive innovation: Stay abreast of emerging technologies and explore their potential applications to improve our systems and processes.
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Prioritize security and performance: Build secure, scalable, and high-performing applications by adhering to best practices and considering security and performance implications in every decision.
Embrace knowledge sharing: Actively contribute to our culture of knowledge sharing by documenting your work, mentoring junior engineers, and participating in knowledge-sharing sessions.
Drive innovation: Stay abreast of emerging technologies and explore their potential applications to improve our systems and processes.
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You will apply automated testing, evaluation, observability, security controls and production monitoring throughout the software delivery lifecycle.
You will prototype and rapidly iterate on solutions using data, user feedback and minimum viable implementations, then harden successful approaches for production.
You will review code and technical designs, provide constructive feedback, share knowledge and guide junior engineers toward stronger engineering practices.
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Support Project Managers, Sales and Proposal teams during bidding, project pursuit and execution by providing mechanical engineering input, technical review and risk assessment.
Provide technical guidance and mentorship to junior engineers, designers and project team members. Principal level candidates may also support regional technical leadership and engineering standardization.
Lead and execute mechanical and piping engineering activities for custody transfer metering systems, allocation metering systems, analyzer systems, sampling systems and packaged skid solutions.
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Support Project Managers, Sales and Proposal teams during bidding, project pursuit and execution by providing mechanical engineering input, technical review and risk assessment.
Provide technical guidance and mentorship to junior engineers, designers and project team members. Principal level candidates may also support regional technical leadership and engineering standardization.
Lead and execute mechanical and piping engineering activities for custody transfer metering systems, allocation metering systems, analyzer systems, sampling systems and packaged skid solutions.
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Act as a subject matter expert for assigned applications, maintaining deep knowledge of products, industry standards, and market trends
Engage customers, consultants, contractors, and distributors in technical discussions to understand requirements and tailor specification text to proposed solutions
Prepare application-focused training materials and participate in knowledge-sharing sessions for Sales, CSSC, distributors, and customers
...
You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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Design and articulate how Aonic software architecture, including the Aonic Arc command-and-control platform, integrates with client applications and IT environments: cloud versus on-premise deployment, server setup, digital twin workflows, dashboards, and API/data integration with client systems.
Advise clients and their IT teams on network and infrastructure requirements for deployments, including connectivity (Wi-Fi/4G/5G), network security constraints, remote streaming, and centralized fleet operations.
Plan and lead product demonstrations (drone dock operations, robotics demos via remote controller and HDMI live streaming, and software walkthroughs), and maintain demonstration readiness, equipment, and backup material.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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