ai systems engineer

Setsail Marketing

About UsWe&rsquo;re a B-Corp certified full-service marketing agency based in Vancouver, Canada. We specialize in performance-driven marketing for North American clients across lead generation and e-commerce.We are investing heavily in internal AI systems to improve how our teams operate, deliver work, and scale. Our goal is to automate high-impact delivery workflows and evolve those systems into future productized offerings.We&rsquo;re looking for an Applied AI Systems Engineer to help build this foundation.Role OverviewThis role focuses on building internal AI-powered workflows that automate processes across marketing, operations, and strategy.You&rsquo;ll work directly with leadership to design and implement production-ready automation systems &mdash; not experiments &mdash; that transform data, research, and inputs into structured outputs and workflows.This is a hands-on builder role for someone comfortable working with APIs, LLMs, and backend systems.Key Responsibilities<ul><li>Build AI-powered workflow systems that support marketing delivery and operations</li><li>Design and implement pipelines using LLMs, APIs, and internal data sources</li><li>Develop structured output systems from unstructured inputs (documents, transcripts, research, etc.)</li><li>Implement retrieval-based systems and knowledge ingestion pipelines</li><li>Integrate AI tools with internal platforms, documents, and external services</li><li>Improve automation reliability, performance, and output quality</li><li>Support development of internal tools that may later evolve into productized features</li><li>Collaborate directly with leadership on automation architecture and execution</li></ul>Ideal Profile<ul><li>3&ndash;6+ years experience in backend, full-stack, or automation engineering</li><li>Strong TypeScript or Python skills (ideally both)</li><li>Experience deploying applications using Vercel or similar serverless platforms</li><li>Experience working with LLM APIs (OpenAI, Claude, etc.)</li><li>Experience building AI-powered tools or workflow systems</li><li>Familiarity with embeddings, vector databases, or retrieval workflows</li><li>Strong problem-solving ability and systems thinking</li><li>Comfortable working in fast-moving environments with evolving requirements</li></ul>Nice to Have<ul><li>Experience with Next.js or serverless architectures</li><li>Experience with LangChain, LlamaIndex, or similar frameworks</li><li>Experience with automation tools (n8n, Make, Zapier) in combination with custom code</li><li>Experience building internal tools that later evolved into reusable systems or products</li><li>Startup or agency experience</li></ul>Tech EnvironmentOur current stack includes serverless deployment environments (Vercel), modern JavaScript/TypeScript tooling, and AI platforms such as OpenAI and Claude. You should be comfortable building and shipping within this ecosystem.SeniorityThis is an individual contributor role focused on execution and building real systems.You&rsquo;ll work closely with leadership to translate operational needs into automation tools and internal platforms.To ApplyPlease send:<ul><li>A short introduction outlining your experience building AI tools, automation systems, or backend workflows</li><li>2&ndash;3 examples of projects involving LLMs, automation, or internal tools</li><li>GitHub or technical portfolio (if available)</li><li>A brief explanation of how you would approach building a system that converts unstructured inputs into structured outputs</li><li>Your availability for overlap with North American time zones</li></ul>Applications without technical examples or project experience will not be considered.Job Type: Full-timeApplication Question(s):<ul><li>GitHub or technical portfolio (if available)</li><li>Please share the link to your LinkedIn profile</li><li>Share 2&ndash;3 examples of projects involving LLMs, automation, or internal tools (Link)</li><li>How many years of hands-on experience do you have in backend, full-stack, or automation engineering?</li></ul>Experience:<ul><li>backend, full-stack, or automation engineering: 5 years (Required)</li><li>Python and TypeScript: 5 years (Required)</li></ul>Work Location: Remote

Applied AI Systems Engineer (Remote)

KINDO

<div><h1 class="jobSectionHeader">Staff AI Systems Engineer &mdash; Agentic Platforms</h1>
<h2 class="jobSectionHeader">The Moment</h2>

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we're already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.
<h2 class="jobSectionHeader">
About Kindo</h2>

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We're a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape how the platform evolves.
<h2 class="jobSectionHeader">
The Role</h2>

You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production. This is applied systems engineering with AI at the center, not ML research and not chatbot wrappers. You'll work on agent execution frameworks, retrieval and memory systems, multi-model execution, and secure tool-calling integrations that interact with real enterprise environments.

This role also requires invention. Many of the patterns for agentic systems are still emerging. You'll explore new approaches, prototype quickly, and turn what works into durable platform foundations. You'll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.

Staff engineers at Kindo are builders and inventors with strong architectural judgment. You help define both what we build next and which approaches become the system's durable defaults.
<h2 class="jobSectionHeader">
What You'll Build</h2>
<ul><li>Agent execution systems, including autonomous task loops, scheduling, triggers, and control planes</li>
<li>Retrieval and memory architectures, including context management, long-term memory, and structured memory</li>
<li>Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes</li>
<li>Tool-calling and integration frameworks for safe interaction with external services and enterprise environments</li>
<li>Reliability, security, and operability foundations, including evaluation, observability, failure isolation, and recovery paths</li>
<li>Core platform abstractions and architectural patterns that make new agent capabilities easier to build safely</li>
</ul><h2 class="jobSectionHeader">How You Build</h2>

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. You develop pragmatic guardrails, verification strategies, and architectural boundaries to minimize slop, reduce risk, and keep systems safe as autonomy increases.

You also push the team's defaults forward through better patterns, reusable workflows, and clearer architectural primitives, so the whole organization builds faster with fewer failure modes.
<h2 class="jobSectionHeader">
What We're Looking For</h2>

We care far more about what you've built than what's on your resume.

You:
<ul>
<li>Have deep experience building and operating complex backend or distributed systems in production</li>
<li>Have built LLM-powered or AI-native systems beyond demos, with real users, real constraints, and real failure modes</li>
<li>Have strong architectural judgment around reliability, security, observability, and system evolution</li>
<li>Have invented or introduced abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness</li>
<li>Are comfortable operating in ambiguous frontier areas and validating ideas through rapid iteration</li>
<li>Use AI as a core part of your development workflow, not as an occasional convenience</li>
<li>Operate with high ownership and take systems end-to-end, including long-term evolution</li>
</ul>
Technical requirements:
<ul>
<li>TypeScript required, Python strongly preferred</li>
<li>Strong SQL proficiency</li>
<li>Experience with production infrastructure; Docker/Kubernetes experience is a plus</li>
<li>Familiarity with enterprise security patterns is a plus</li>
<li>Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus</li>
</ul><h2 class="jobSectionHeader">Culture</h2>

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.
<h2 class="jobSectionHeader">
Compensation and Location</h2>

Compensation: $210,000&ndash;$260,000 base salary plus competitive equity 
Location: Venice, San Francisco, Remote, or Hybrid
<h2 class="jobSectionHeader">
How to Apply</h2>

Send us:
<ul>
<li>Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you've built. We want to see how you think, not just what you've done.</li>
<li>A brief note on what excites you about agentic systems and where you think the hard problems are.</li>
<li>Your resume, but know that the first two items matter more.</li>
</ul>
We'll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.</div>

Staff AI Systems Engineer — Agentic Platforms

<div><h1 class="jobSectionHeader">Principal AI Systems Engineer &mdash; Agentic Platforms</h1>
<h2 class="jobSectionHeader">The Moment</h2>

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we're already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.
<h2 class="jobSectionHeader">
About Kindo</h2>

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We're a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape the platform's technical direction and long-term evolution.
<h2 class="jobSectionHeader">
The Role</h2>

You will define and evolve the architectural foundations of Kindo's agent platform. This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers. You'll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do.

This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging. You'll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform's durable foundation. You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely.

Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions.
<h2 class="jobSectionHeader">
What You'll Build</h2>
<ul><li>Agent execution architectures, including autonomous task loops, scheduling, triggers, control planes, and failure isolation</li>
<li>Retrieval and memory architectures, including persistent, structured, and contextual memory systems</li>
<li>Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes</li>
<li>Tool-calling and integration frameworks for safe interaction with external services and enterprise environments</li>
<li>Reliability, security, and operability foundations, including evaluation, observability, auditing, and recovery paths</li>
<li>Core platform primitives and architectural patterns that enable entirely new autonomous capabilities safely</li>
</ul><h2 class="jobSectionHeader">How You Build</h2>

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift.

You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security.
<h2 class="jobSectionHeader">
What We're Looking For</h2>

We care far more about what you've built than what's on your resume.

You:
<ul>
<li>Have deep expertise designing and operating complex backend or distributed systems in production</li>
<li>Have built and evolved platform-level architectures that remained durable under rapid change</li>
<li>Have built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes</li>
<li>Demonstrate exceptional architectural judgment around reliability, security, observability, and long-term system evolution</li>
<li>Have invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness</li>
<li>Actively track emerging tools, models, and approaches and translate the best of them into production systems</li>
<li>Use AI as a core part of your engineering workflow, not as an occasional convenience</li>
<li>Operate with exceptional ownership and take systems end-to-end, including long-term evolution</li>
</ul>
Technical requirements:
<ul>
<li>TypeScript required, Python strongly preferred</li>
<li>Strong SQL proficiency</li>
<li>Experience with production infrastructure; Docker/Kubernetes experience is a plus</li>
<li>Familiarity with enterprise security patterns is a plus</li>
<li>Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus</li>
</ul><h2 class="jobSectionHeader">Culture</h2>

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.
<h2 class="jobSectionHeader">
Compensation and Location</h2>

Compensation: $250,000&ndash;$330,000 base salary plus competitive equity 
Location: Venice, San Francisco, Remote, or Hybrid
<h2 class="jobSectionHeader">
How to Apply</h2>

Send us:
<ul>
<li>Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you've built. We want to see how you think, not just what you've done.</li>
<li>A brief note on what excites you about agentic systems and where you think the hard problems are.</li>
<li>Your resume, but know that the first two items matter more.</li>
</ul>
We'll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.</div>

Principal AI Systems Engineer — Agentic Platforms

Help Finance Group

AI &amp; Automation Systems EngineerLocation: Fort Lauderdale, FL (In-Office ) Company: Vitality Guard Insurance / Multi-Company GroupWe are looking for a highly skilled AI &amp; Automation Systems Engineer to design, build, and optimize intelligent systems across multiple growing companies in insurance, finance, call center operations, and marketing.This is not an entry-level tech support role. We are seeking someone who can build real infrastructure, automate processes, and deploy AI systems that improve performance, reporting, and operational efficiency.What You Will Do<ul><li>Build and deploy AI agents for sales, compliance, and customer service</li><li>Create automation workflows across CRM, dialers, and internal systems</li><li>Design dashboards and real-time reporting infrastructure</li><li>Implement process automation using modern no-code/low-code and custom code platforms</li><li>Integrate APIs between multiple software systems</li><li>Improve operational efficiency through intelligent system design</li><li>Develop internal tools that increase productivity across departments</li></ul>Ideal Candidate<ul><li>Strong experience building AI agents and automation systems</li><li>Experience with OpenAI, API integrations, Zapier/Make, custom workflows, or similar tools</li><li>Proficient in dashboard creation (Power BI, Tableau, custom builds, or similar)</li><li>Experience working with CRM systems and call center technologies</li><li>Strong understanding of process engineering and system architecture</li><li>Ability to think strategically and execute technically</li><li>Comfortable working directly with executive leadership</li></ul>Compensation<ul><li>Competitive salary based on experience</li><li>Performance-based bonus structure</li><li>Long-term growth opportunity within a fast-scaling group of companies</li></ul>Why Join Us<ul><li>Direct access to executive leadership</li><li>Opportunity to build systems from the ground up</li><li>High-growth environment across multiple industries</li><li>Freedom to innovate and implement modern AI solutions</li><li>Real impact &mdash; your systems will drive revenue and efficiency</li></ul>If you are someone who builds, automates, and optimizes at a high level &mdash; and wants to work in a fast-paced environment &mdash; we want to speak with you.Apply directly or send your portfolio and examples of systems you have built.Pay: $50,000.00 - $60,000.00 per yearWork Location: In person

AI & Automation Systems Engineer

Datamatics Global Services Ltd

<div>Job Title: Agentic AI Engineer 
Location: Islamabad, Pakistan (Onsite) 
Experience: 7&ndash;8 Years 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Overview</h3>
We are looking for a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop agentic AI systems that can plan, reason, and execute tasks autonomously.</li><li>
Build and optimize applications using Large Language Models (LLMs) and advanced AI frameworks.</li><li>
Develop multi-agent architectures for complex workflows and decision-making processes.</li><li>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</li><li>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</li><li>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</li><li>
Ensure scalability, security, and performance of AI systems in production.</li><li>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of experience in AI/ML, software engineering, or applied AI development.</li><li>
Strong programming experience in Python.</li><li>
Hands-on experience with LLMs and AI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</li><li>
Experience with RAG architectures, vector databases, and embeddings.</li><li>
Familiarity with OpenAI, open-source LLMs, or similar AI model ecosystems.</li><li>
Experience building AI agents, automation workflows, or intelligent assistants.</li><li>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</li><li>
Experience with Docker, CI/CD, and scalable system design.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with multi-agent systems and autonomous AI workflows.</li><li>
Knowledge of prompt engineering, model evaluation, and AI safety.</li><li>
Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.</li><li>
Experience working in AI startups or advanced R&amp;D environments.</li><li>
Background in Computer Science, AI, Data Science, or related field.</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on cutting-edge AI and autonomous systems.</li><li>
Competitive salary and growth opportunities.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Exposure to global AI projects and modern technology stack.</li></ul>
Hr0rUNuBPn</div>

Agentic AI Engineer

Pavago

Job Title: Senior Backend Engineer (.NET / AI Systems)r
 Position Type: Full-Time, Remote
 Working Hours: U.S. Business Hours
 
About the Role
 We are hiring a Senior Backend Engineer (.NET / AI Systems) to own the entire technical function of an early-stage SaaS platform. This is a hands-on leadership role where you will write production code daily while making architecture, infrastructure, and AI system decisions for a platform operating at scale.
 You will be accountable for backend architecture, system reliability, AI pipelines, and guiding a small development team in a fast-moving startup environment.
 
Responsibilities
 Backend Architecture & Engineering
 <ul>
<li>Design, build, and maintain a .NET 8.0 / C# backend using Clean Architecture and DDD principles</li>
<li>Own the architecture and codebase across 14+ independently deployed microservices</li>
<li>Deliver new features, refactor existing systems, and resolve performance bottlenecks</li>
</ul>
AI Systems & LLM Orchestration
 <ul>
<li>Design and operate production-grade AI pipelines across multiple LLM providers</li>
<li>Optimize prompts and workflows for batch processing, personalization, and segmentation at scale</li>
<li>Manage rate limits, failover strategies, and cost optimization across AI providers</li>
</ul>
Databases & Data Infrastructure
 <ul>
<li>Manage MySQL, Redis, and MongoDB in production environments</li>
<li>Oversee bulk writes, caching strategies, event streams, and analytics pipelines</li>
<li>Ensure data consistency and performance across distributed services</li>
</ul>
Infrastructure, Reliability & Monitoring
 <ul>
<li>Own Linux-based infrastructure, CI/CD pipelines, and service deployments</li>
<li>Implement centralized logging, monitoring, alerting, and uptime tracking</li>
<li>Proactively identify and mitigate reliability and scalability risks</li>
</ul>
API Integrations & System Resilience
 <ul>
<li>Manage 25+ third-party API integrations used in production</li>
<li>Design retry, fallback, and graceful degradation strategies</li>
<li>Ensure system stability when external providers fail or degrade</li>
</ul>
Team Leadership & Engineering Standards
 <ul>
<li>Lead and mentor a small engineering team through code reviews and architectural guidance</li>
<li>Set and enforce engineering standards, workflows, and best practices</li>
<li>Collaborate closely with the founder on product direction and technical strategy</li>
</ul>
What Makes You a Perfect Fit
 <ul>
<li>You are a senior, hands-on engineer who enjoys owning systems end-to-end</li>
<li>You are comfortable being the most experienced technical person on the team</li>
<li>You balance fast execution with long-term architectural thinking</li>
<li>You take ownership of reliability, performance, and technical outcomes</li>
<li>You thrive in early-stage startup environments</li>
</ul>
Required Experience & Skills
 <ul>
<li>Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core</li>
<li>Experience with distributed systems and independently deployed services</li>
<li>Strong production experience with MySQL, Redis, and MongoDB</li>
<li>Hands-on DevOps experience with Linux servers and CI/CD pipelines</li>
<li>Experience managing large numbers of third-party API integrations</li>
<li>Proven experience building and operating AI/LLM systems at scale</li>
<li>Familiarity with AI-assisted development tools and workflows</li>
<li>Strong understanding of monitoring, observability, and incident prevention</li>
<li>Experience leading small engineering teams</li>
<li>Strong English communication skills</li>
</ul>
What Does a Typical Day Look Like ?
 <ul>
<li>Write and review production backend code</li>
<li>Make architectural decisions across services, databases, and AI pipelines</li>
<li>Monitor system health and resolve reliability issues</li>
<li>Guide developers through code reviews and technical feedback</li>
<li>Collaborate with the founder on product and system evolution</li>
</ul>
In short: You own the technical foundation of the platform and ensure it scales reliably while enabling rapid product development.
 
Key Metrics for Success (KPIs)
 <ul>
<li>System uptime and service reliability</li>
<li>Backend and AI system performance improvements</li>
<li>AI cost efficiency and pipeline stability</li>
<li>Code quality and deployment reliability</li>
<li>Team execution and delivery quality</li>
</ul>
Interview Process
 <ul>
<li>Initial Screening Call</li>
<li>Technical Interview with Pavago Recruiter</li>
<li>Client Interview</li>
<li>Offer & Onboarding</li>
</ul>
#LI-AG1

Senior Backend Engineer (.NET / AI Systems)

SOC Solutions LLC

Botmer International is hiring a skilled Senior Full Stack Software Engineer (Founding Engineer) to help design and build our core platform from the ground up.As a founding engineer, you will work directly with the CEO, CTO, and other founding members, shaping both the product and the engineering foundation. This role requires end-to-end system design&mdash;from frontend and backend to infrastructure and testing&mdash;along with the ability to move quickly and make pragmatic tradeoffs.You will play a key role in building and scaling a voice-based AI agent platform, operating at the intersection of product, engineering, and AI systems.Responsibilities<ul><li>Design and implement end-to-end systems, including:</li><li>Frontend (React-based web applications)</li><li>Backend services and APIs (FastAPI, Python)</li><li>Infrastructure, deployment, and environments</li><li>Testing, reliability, and observability layers</li><li>Own major parts of the system architecture and make foundational technical decisions</li><li>Build scalable, maintainable services that support real-time, voice-based AI interactions</li><li>Collaborate closely with the CEO, CTO, and founding team to translate product ideas into production systems</li><li>Analyze ambiguous or complex problems and design practical, high-impact solutions</li><li>Move quickly from prototype to production, balancing speed and quality</li><li>Use AI coding tools and cloud AI services as first-class tools to increase development velocity</li><li>Continuously improve engineering practices as the company grows</li></ul>Requirements<ul><li>Minimum 6 years of professional development experience</li><li>Strong experience with Python, FastAPI, JavaScript, TypeScript, and React</li><li>Proven ability to design full-stack systems, not just isolated features</li><li>Experience thinking across frontend, backend, infrastructure, and testing boundaries</li><li>Strong system design and architectural reasoning skills</li><li>Comfortable operating in fast-moving, ambiguous environments</li><li>Effective user of AI-assisted development tools (AI IDEs, code agents, cloud AI, etc.)</li><li>Fast learner with strong problem-solving and analytical skills</li><li>High ownership mindset; self-directed and outcome-driven</li></ul>Strong Plus Qualifications<ul><li>Experience building AI-powered or LLM-based products</li><li>Experience with voice, audio, streaming, or real-time systems</li><li>Familiarity with DevOps and infrastructure, including:</li><li>Cloud deployments</li><li>CI/CD pipelines</li><li>Docker or containerized environments</li><li>Monitoring, logging, and testing infrastructure</li><li>Experience scaling systems from early-stage prototypes to production</li></ul>Who You&rsquo;ll Thrive AsYou&rsquo;re likely a strong fit if you:<ul><li>Enjoy founding-level ownership and responsibility</li><li>Think in systems, not just code files</li><li>Learn new tools and domains extremely quickly</li><li>Use AI tools strategically to solve problems faster and better</li><li>Are flexible in approach and focused on outcomes, not dogma</li><li>Want to help shape both the product and the company</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected Salary for this role?</li><li>This is an urgent role. Would you be able to join immediately?</li></ul>Experience:<ul><li>Node.js: 5 years (Preferred)</li></ul>Work Location: Remote

Sr. Full-Stack Developer

Search 10000+ Ai systems engineer jobs near you this March. New roles added regularly across leading industries. Apply today.