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senior backend engineer

Skylabs AI

<div><h3 class="jobSectionHeader">About Us</h3>
At SkyLabs AI Inc., we are at the forefront of the artificial intelligence revolution. As a US-headquartered company, we conduct applied research on AI for intelligent reasoning. We specialize in complex neurosymbolic AI to solve intricate problems within software engineering. Our team is composed of world-class researchers and engineers dedicated to building the platforms and intelligent agents that will power the next generation of software. If you are passionate about building truly intelligent systems and want to make a lasting impact, join us.<h3 class="jobSectionHeader">
The Role</h3>
We are seeking an exceptional Senior Backend Engineer to lead the architecture and implementation of our entire cloud-native infrastructure. This is a foundational role responsible for building the scalable, resilient, and secure microservices platform that our AI agents and developer tools will run on.
You will be responsible for everything from our API gateways and database architecture to the Kubernetes-based remote execution sandboxes. You will design the asynchronous systems that manage long-running agentic tasks and build the high-throughput pipelines for LLM inference and telemetry. The ideal candidate is a &quot;10x&quot; backend expert who has built and scaled complex, AI-driven systems in production.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Microservice Architecture: Design, build, deploy, and maintain our platform as a set of resilient, scalable microservices (e.g., auth, payments, agent orchestration).</li>
<li>Agent Orchestration Backend: Build the critical systems that manage the lifecycle of long-running agentic tasks, including state management and asynchronous communication (Kafka, RabbitMQ, etc.).</li>
<li>Remote Sandboxing: Architect and implement the containerized execution environments (Docker, Kubernetes) where agents can safely build, test, and run code.</li>
<li>LLM Inference Infrastructure: Deploy, manage, and wrap high-throughput LLM inference servers (NVIDIA Triton, vLLM) to serve models to our agent systems.</li>
<li>API Design: Design, secure, and manage our core APIs (REST and gRPC), including our public-facing MCP/ACP and internal service-to-service communication.</li>
<li>Data &amp; Telemetry: Build the high-throughput data ingestion pipeline to process and store massive volumes of telemetry and training data from our IDE clients.</li>
<li>Identity &amp; Payments: Implement and manage our authentication (OAuth2/OIDC) and payment/subscription (Stripe) systems.</li>
<li>Infrastructure &amp; Observability: Own our Infrastructure as Code (Terraform) and build out comprehensive observability (Prometheus, Grafana, Jaeger) across the entire stack.</li>
</ul><h3 class="jobSectionHeader">Qualifications &amp; Skills</h3><h3 class="jobSectionHeader">
Core Profile: Sr. Backend Engineer</h3><ul>
<li>Expertise in Microservice Architectures: Proven ability to design, build, deploy, and maintain a complex system as a set of resilient, scalable, and independent microservices.</li>
<li>Advanced API Design &amp; Management: Mastery of designing clean, secure, and high-performance APIs (both REST and gRPC). Experience with API gateways, versioning, and documentation.</li>
<li>Database-agnostic Expertise: Deep practical experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, Redis) databases, including data modeling, query optimization, and scaling.</li>
<li>Scalable AI/LLM Infrastructure: Must have experience building and scaling backend systems specifically for LLM use cases, understanding the unique demands of stateful, long-running agentic tasks.</li>
<li>Comprehensive Observability: Experience building and managing full-stack observability (e.g., using Prometheus, Grafana, ELK/OpenSearch, and distributed tracing like Jaeger) to ensure system health and performance.</li>
<li>Authentication &amp; Authorization: Expertise in implementing robust identity systems, including sign-up, OAuth2/OIDC, JWTs, and fine-grained Role-Based Access Control (RBAC).</li>
<li>Payment Gateway Integration: Experience integrating and managing payment and subscription systems (e.g., Stripe), including metering and subscription logic.</li>
</ul><h3 class="jobSectionHeader">Specific Experience Required:</h3>
1. Agent Orchestration &amp; Remote Sandboxing<ul>
<li>
Agentic Mode Backend: This is critical. Experience designing systems that manage the lifecycle of complex, long-running &quot;agent&quot; tasks.</li>
<li>Containerized Execution: Deep experience with Docker and Kubernetes (K8s) for orchestrating the &quot;remote sandbox&quot; where agent-generated code is built, run, and tested securely. Familiarity with lightweight virtualization (e.g., Firecracker) is a major plus.</li>
<li>Asynchronous Task &amp; Message Queues: Expertise in using systems like Kafka, RabbitMQ, or gRPC streams to manage communication between microservices, the IDE plugin, and the AI agents, ensuring no data is lost.</li>
</ul>
2. LLM Model Hosting &amp; Inference<ul>
<li>
Model Hosting: Hands-on experience deploying and managing high-throughput LLM inference servers like NVIDIA Triton, TGI, or vLLM on GPU-enabled infrastructure.</li>
<li>Inference API Integration: Building the backend service that securely wraps these inference endpoints, handles request batching, and serves them to the agent orchestrator.</li>
</ul>
3. High-Throughput Data &amp; Cloud Infrastructure<ul>
<li>
Telemetry Ingestion: Designing and building a high-throughput data pipeline to receive, process, and store the massive volume of telemetry and training data sent from the IDE plugin.</li>
<li>Infrastructure as Code (IaC): Mastery of Terraform or CloudFormation to provision and manage the entire cloud infrastructure repeatedly and reliably.</li>
<li>API Security &amp; Management: Implementing rate limiting, request validation, and service-to-service authentication (e.g., mTLS) to protect the MCP/ACP and other public-facing endpoints.</li>
<li>CI/CD &amp; DevOps: A strong DevOps mindset and experience building automated CI/CD pipelines (e.g., GitLab CI, GitHub Actions) for a microservices environment.</li>
</ul><h3 class="jobSectionHeader">Who You Are</h3>
You are a builder at heart, driven by curiosity and a desire to solve hard problems. You don't wait for instructions; you identify opportunities and seize them. You are comfortable with ambiguity and thrive in a fast-paced, in-depth environment where you are encouraged to experiment and push boundaries. You are a clear communicator who can articulate complex technical concepts and work collaboratively to achieve ambitious goals.
Benefits<h3 class="jobSectionHeader">
What We Offer</h3><ul>
<li>Competitive salary in USD</li>
<li>Comprehensive health allowance</li>
<li>Relocation allowance (if you're moving to Islamabad)</li>
<li>Monthly team events and offsites</li>
<li>A beautiful, collaborative office space</li>
<li>Work alongside world-class AI researchers and engineers</li></ul></div>

Senior Backend Engineer

SkyLabs AI

<div>
 
 About Us
 
 
 
 At SkyLabs AI Inc., we are at the forefront of the artificial intelligence revolution. As a US-headquartered company, we conduct applied research on AI for intelligent reasoning. We specialize in complex neurosymbolic AI to solve intricate problems within software engineering. Our team is composed of world-class researchers and engineers dedicated to building the platforms and intelligent agents that will power the next generation of software. If you are passionate about building truly intelligent systems and want to make a lasting impact, join us.
 
 
 
 The Role
 
 
 
 We are seeking an exceptional Senior Backend Engineer to lead the architecture and implementation of our entire cloud-native infrastructure. This is a foundational role responsible for building the scalable, resilient, and secure microservices platform that our AI agents and developer tools will run on.
 
 
 You will be responsible for everything from our API gateways and database architecture to the Kubernetes-based remote execution sandboxes. You will design the asynchronous systems that manage long-running agentic tasks and build the high-throughput pipelines for LLM inference and telemetry. The ideal candidate is a "10x" backend expert who has built and scaled complex, AI-driven systems in production.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Microservice Architecture: Design, build, deploy, and maintain our platform as a set of resilient, scalable microservices (e.g., auth, payments, agent orchestration)
 </li>
 <li>
 Agent Orchestration Backend: Build the critical systems that manage the lifecycle of long-running agentic tasks, including state management and asynchronous communication (Kafka, RabbitMQ, etc.)
 </li>
 <li>
 Remote Sandboxing: Architect and implement the containerized execution environments (Docker, Kubernetes) where agents can safely build, test, and run code
 </li>
 <li>
 LLM Inference Infrastructure: Deploy, manage, and wrap high-throughput LLM inference servers (NVIDIA Triton, vLLM) to serve models to our agent systems
 </li>
 <li>
 API Design: Design, secure, and manage our core APIs (REST and gRPC), including our public-facing MCP/ACP and internal service-to-service communication
 </li>
 <li>
 Data &amp; Telemetry: Build the high-throughput data ingestion pipeline to process and store massive volumes of telemetry and training data from our IDE clients
 </li>
 <li>
 Identity &amp; Payments: Implement and manage our authentication (OAuth2/OIDC) and payment/subscription (Stripe) systems
 </li>
 <li>
 Infrastructure &amp; Observability: Own our Infrastructure as Code (Terraform) and build out comprehensive observability (Prometheus, Grafana, Jaeger) across the entire stack
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 
 Core Profile: Sr. Backend Engineer
 
 
 
 <ul>
 <li>
 Expertise in Microservice Architectures: Proven ability to design, build, deploy, and maintain a complex system as a set of resilient, scalable, and independent microservices
 </li>
 <li>
 Advanced API Design &amp; Management: Mastery of designing clean, secure, and high-performance APIs (both REST and gRPC). Experience with API gateways, versioning, and documentation
 </li>
 <li>
 Database-agnostic Expertise: Deep practical experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, Redis) databases, including data modeling, query optimization, and scaling
 </li>
 <li>
 Scalable AI/LLM Infrastructure: Must have experience building and scaling backend systems specifically for LLM use cases, understanding the unique demands of stateful, long-running agentic tasks
 </li>
 <li>
 Comprehensive Observability: Experience building and managing full-stack observability (e.g., using Prometheus, Grafana, ELK/OpenSearch, and distributed tracing like Jaeger) to ensure system health and performance
 </li>
 <li>
 Authentication &amp; Authorization: Expertise in implementing robust identity systems, including sign-up, OAuth2/OIDC, JWTs, and fine-grained Role-Based Access Control (RBAC)
 </li>
 <li>
 Payment Gateway Integration: Experience integrating and managing payment and subscription systems (e.g., Stripe), including metering and subscription logic
 
 
 </li>
 </ul>
 
 Specific Experience Required:
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 Agent Orchestration &amp; Remote Sandboxing
 </li>
 <li>
 Agentic Mode Backend: This is critical. Experience designing systems that manage the lifecycle of complex, long-running "agent" tasks
 </li>
 <li>
 Containerized Execution: Deep experience with Docker and Kubernetes (K8s) for orchestrating the "remote sandbox" where agent-generated code is built, run, and tested securely. Familiarity with lightweight virtualization (e.g., Firecracker) is a major plus
 </li>
 <li>
 Asynchronous Task &amp; Message Queues: Expertise in using systems like Kafka, RabbitMQ, or gRPC streams to manage communication between microservices, the IDE plugin, and the AI agents, ensuring no data is lost
 </li>
 <li>
 LLM Model Hosting &amp; Inference
 </li>
 <li>
 Model Hosting: Hands-on experience deploying and managing high-throughput LLM inference servers like NVIDIA Triton, TGI, or vLLM on GPU-enabled infrastructure
 </li>
 <li>
 Inference API Integration: Building the backend service that securely wraps these inference endpoints, handles request batching, and serves them to the agent orchestrator
 </li>
 <li>
 High-Throughput Data &amp; Cloud Infrastructure
 </li>
 <li>
 Telemetry Ingestion: Designing and building a high-throughput data pipeline to receive, process, and store the massive volume of telemetry and training data sent from the IDE plugin
 </li>
 <li>
 Infrastructure as Code (IaC): Mastery of Terraform or CloudFormation to provision and manage the entire cloud infrastructure repeatedly and reliably
 </li>
 <li>
 API Security &amp; Management: Implementing rate limiting, request validation, and service-to-service authentication (e.g., mTLS) to protect the MCP/ACP and other public-facing endpoints
 </li>
 <li>
 CI/CD &amp; DevOps: A strong DevOps mindset and experience building automated CI/CD pipelines (e.g., GitLab CI, GitHub Actions) for a microservices environment
 
 
 </li>
 </ul>
 You are a builder at heart, driven by curiosity and a desire to solve hard problems. You don't wait for instructions; you identify opportunities and seize them. You are comfortable with ambiguity and thrive in a fast-paced, in-depth environment where you are encouraged to experiment and push boundaries. You are a clear communicator who can articulate complex technical concepts and work collaboratively to achieve ambitious goals.
 
 
 
 Benefits
 
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary in USD
 </li>
 <li>
 Comprehensive health allowance
 </li>
 <li>
 Relocation allowance (if you're moving to Islamabad)
 </li>
 <li>
 Monthly team events and offsites
 </li>
 <li>
 A beautiful, collaborative office space
 </li>
 <li>
 Work alongside world-class AI researchers and engineers
 </li>
 </ul>
</div>

Rainbow Group

Hiring: Senior Software Engineer (Backend &ndash; Golang)Company: Stealth Startup (AI / Generative Media) Product: Text-to-Image &amp; Text-to-Video Platform Location: Pakistan (Remote / Hybrid) Experience: 1&ndash;4+ years Tech Stack: Golang (Core), Next.js (Plus)About the RoleWe are building a next-generation AI platform focused on text-to-image and text-to-video generation. As a Senior Backend Software Engineer, you will work on the core backend systems that power high-throughput inference, job orchestration, user workflows, and platform scalability.This is a hands-on, impact-heavy role in a small team where your decisions will directly shape the product.What You&rsquo;ll Do<ul><li>Design and build high-performance backend services using Golang</li><li>Develop APIs to support image/video generation workflows</li><li>Work on job queues, async processing, and system reliability</li><li>Optimize backend systems for speed, scale, and cost</li><li>Collaborate closely with frontend and infrastructure teams</li><li>Participate in system design and architectural decisions</li><li>Write clean, maintainable, production-grade code</li></ul>Requirements<ul><li>1&ndash;4+ years of backend development experience</li><li>Solid understanding of:</li><li>Data structures &amp; algorithms</li><li>Concurrency and performance optimization</li><li>API design (REST / gRPC)</li><li>Experience with relational databases (PostgreSQL/MySQL)</li><li>Comfortable working in fast-moving startup environments</li><li>Must be a graduate of one of the following universities:</li><li>NUST</li><li>FAST (NUCES)</li><li>GIKI</li></ul>Nice to Have (Strong Plus)<ul><li>Experience with Golang, Next.js / React</li><li>Familiarity with Docker, Kubernetes, or cloud infrastructure</li><li>Experience with high-traffic systems or media pipelines</li><li>Exposure to AI platforms, ML inference, or GPU-based workloads</li></ul>Why Join<ul><li>Work on cutting-edge AI products (text-to-image / video)</li><li>High ownership and direct impact</li><li>Learn systems design at scale</li><li>Competitive compensation based on skill</li><li>Founder-level visibility and growth</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs400,000.00 per monthWork Location: In person

Senior Software Engineer

Convo

<div>
 
 Job Description
 
 
 
 Location: Islamabad, PK
 
 
 Work Model: Hybrid
 
 
 No. of Positions: 3
 
 
 
 About The Role
 
 
 
 We are seeking a
 
 Senior Software Development Engineer in Test (SDET)
 
 who brings a strong
 
 software engineering mindset
 
 and is passionate about building
 
 high-quality, scalable test systems
 
 for large-scale enterprise and distributed applications.
 
 
 This role is
 
 coding-intensive
 
 and focuses on designing and developing
 
 test infrastructure, automation frameworks, and quality tooling
 
 using
 
 JavaScript/TypeScript
 
 . You will work alongside software engineers to influence architecture, improve testability, and ensure quality is built into the system from day one.
 
 
 Manual testing is minimal and used only where automation is not feasible. The primary responsibility is to
 
 write production-grade test code
 
 , build automation platforms, and enable continuous quality at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and own test automation frameworks and libraries using JavaScript/TypeScript and Playwright, following engineering best practices.
 </li>
 <li>
 Write clean, maintainable, and scalable code for functional, integration, API, and end-to-end testing.
 </li>
 <li>
 Build and evolve test infrastructure integrated into CI/CD pipelines, enabling fast, reliable feedback.
 </li>
 <li>
 Develop performance, load, and stress testing solutions using JMeter, k6, or Gatling, including custom scripts and metrics analysis.
 </li>
 <li>
 Collaborate with Software Engineers to improve system testability, define acceptance criteria, and validate architectural decisions.
 </li>
 <li>
 Analyze failures at scale, debug complex issues across UI, API, database, and backend services, and drive them to resolution.
 </li>
 <li>
 Design test strategies for microservices and distributed systems, including contract and integration testing.
 </li>
 <li>
 Own release quality metrics, automation coverage, and test execution health.
 </li>
 <li>
 Continuously improve tooling, frameworks, and engineering standards across the quality organization.
 </li>
 <li>
 Mentor junior SDETs and promote a software-engineering-driven quality culture.
 </li>
 <li>
 Participate in Agile ceremonies and contribute to sprint planning, stand-ups, and retrospectives.
 </li>
 <li>
 Drive continuous improvement in QA processes, tools, and automation best practices.
 </li>
 <li>
 Contribute to release readiness and support end-to-end quality initiatives across projects.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience as an SDET / SET / Software Engineer in Test, with a strong focus on coding and automation architecture.
 </li>
 <li>
 Advanced proficiency in JavaScript/TypeScript, including async programming and modern tooling.
 </li>
 <li>
 Hands-on experience building automation frameworks from scratch using Playwright or similar modern frameworks.
 </li>
 <li>
 Strong understanding of software design patterns, test architecture, and clean code principles (SOLID, DRY).
 </li>
 <li>
 Experience designing and executing performance and scalability tests using JMeter, k6, or Gatling.
 </li>
 <li>
 Strong experience with SQL and backend validation, including data consistency and system workflows.
 </li>
 <li>
 Experience working in Agile, fast-paced engineering teams.
 </li>
 <li>
 Strong analytical, troubleshooting, and communication skills with excellent attention to detail.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with API testing tools (Postman, REST Assured, etc.).
 </li>
 <li>
 Familiarity with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
 </li>
 <li>
 Exposure to cloud environments (AWS, Azure, or GCP).
 </li>
 <li>
 Knowledge of microservices and distributed architectures.
 </li>
 <li>
 Experience mentoring or guiding QA engineers on automation or performance testing.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge enterprise solutions that drive collaboration and scalability.
 </li>
 <li>
 Influence test automation architecture and overall quality strategy.
 </li>
 <li>
 Be part of a forward-thinking, collaborative QA culture focused on excellence.
 </li>
 <li>
 Competitive compensation and professional growth opportunities.
 
 
 </li>
 </ul>
 
 What We Have For You
 
 
 
 We offer a comprehensive compensation package along with medical benefits for you and your family. Enjoy free lunch, annual performance-based increments, annual bonus, and performance recognition awards in a lean and agile work culture that encourages growth and collaboration.
 
 
 At Convo, we proudly embrace diversity and are committed to building an inclusive team of talented and unique individuals.
</div>

Senior Software Development Engineer in Test (SDET)

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a
 
 Senior
 
 
 Software Engineer - Data Platform
 
 , you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers.
 
 
 We are looking for strong engineers to grow our Data Platform team. This team is responsible for driving the Motive&rsquo;s Data Platform vision. The team works in three areas: build scalable systems and services for data ingestion, access, processing and query to enable data driven product features, collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and develop scalable distributed systems and frameworks for data management
 </li>
 <li>
 Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.
 </li>
 <li>
 Collaborate with engineers across teams to identify and deliver cross-functional features
 </li>
 <li>
 Participate in all aspects of the software development life cycle, from design to implementation and delivery.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 5-10 years hands-on software engineering experience
 </li>
 <li>
 Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python
 </li>
 <li>
 Strong CS fundamentals including data structures, algorithms, and distributed systems
 </li>
 <li>
 Experience in designing, implementing, and operating highly scalable software systems and services
 </li>
 <li>
 Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes
 </li>
 <li>
 Experience with service-oriented architectures
 </li>
 <li>
 Excellent troubleshooting skills and track record of implementing creative solutions
 </li>
 <li>
 Hands on experience with containerized platforms like Docker and Kubernetes
 </li>
 <li>
 BS in Computer Science or a related field; Masters preferred
 </li>
 <li>
 Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Senior Software Engineer - Data Platform

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div> 

<h3 class="jobSectionHeader">
About the Role:</h3>

As a Senior Software Engineer - Data Platform, you will be involved and responsible for full ownership and driving key data platform initiatives and life cycle of the data management including data ingestion, data processing, data storage, querying system, cost reduction efforts towards delivering product features to internal and external Motive customers.
We are looking for strong engineers to grow our Data Platform team. This team is responsible for driving the Motive's Data Platform vision. The team works in three areas: build scalable systems and services for data ingestion, access, processing and query to enable data driven product features, collaborate and work closely with the various stakeholders and our backend product teams to improve and add features to the platform.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Design and develop scalable distributed systems and frameworks for data management</li>
<li>Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.</li>
<li>Collaborate with engineers across teams to identify and deliver cross-functional features</li>
<li>Participate in all aspects of the software development life cycle, from design to implementation and delivery.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>
<ul><li>5-10 years hands-on software engineering experience</li>
<li>Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python</li>
<li>Strong CS fundamentals including data structures, algorithms, and distributed systems</li>
<li>Experience in designing, implementing, and operating highly scalable software systems and services</li>
<li>Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes</li>
<li>Experience with service-oriented architectures</li>
<li>Excellent troubleshooting skills and track record of implementing creative solutions</li>
<li>Hands on experience with containerized platforms like Docker and Kubernetes</li>
<li>BS in Computer Science or a related field; Masters preferred</li>
<li>Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.</li></ul><div> 
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

<div><h3 class="jobSectionHeader">About Us</h3>
At SkyLabs AI Inc., we are at the forefront of the artificial intelligence revolution. As a US-headquartered company, we conduct applied research on AI for intelligent reasoning. We specialize in complex neurosymbolic AI to solve intricate problems within software engineering. Our team is composed of world-class researchers and engineers dedicated to building the platforms and intelligent agents that will power the next generation of software. If you are passionate about building truly intelligent systems and want to make a lasting impact, join us.<h3 class="jobSectionHeader">
The Role</h3>
We are seeking an exceptional Senior Agentic AI Engineer to join our core team. This is not a typical AI role; you will be responsible for architecting, building, and deploying complex, autonomous AI agents designed to reason about and operate within the C++ software engineering lifecycle.
You will be building agents that can programmatically interact with compilers (LLVM), debuggers (GDB/LLDB), build systems (CMake/Bazel), and static analysis tools to understand, modify, and build complex C++ codebases. The ideal candidate is a master programmer with a deep, practical understanding of both agentic AI and the C++ developer ecosystem.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Architect &amp; Build Agents: Design, develop, and refine sophisticated, multi-step AI agents that can reason, plan, and execute complex software engineering tasks.</li>
<li>Integrate SWE Tools: Natively integrate agents with the C++ ecosystem (build systems, debuggers, profilers, and static analyzers) to enable programmatic code comprehension and modification.</li>
<li>Develop Agentic Frameworks: Implement and innovate on agentic patterns (ReAct, CoT, LangGraph) and orchestrate multi-agent systems.</li>
<li>Build Data Pipelines: Design telemetry systems to capture agent trajectories (state, action, observation) to create high-quality datasets for fine-tuning.</li>
<li>Manage RAG Systems: Implement and optimize RAG pipelines using vector databases and code-specific embedding models (e.g., GraphCodeBert) for knowledge retrieval.</li>
<li>Design Sandboxed Environments: Develop remote execution environments (using Docker, Firecracker) where agents can safely build and run C++ code.</li>
<li>Collaborate on Infrastructure: Work with the backend team to design APIs (gRPC, REST) and cloud infrastructure (Kubernetes, GCP/AWS) to support the agentic systems.</li>
</ul><h3 class="jobSectionHeader">Qualifications &amp; Skills</h3><h3 class="jobSectionHeader">
Core Profile: Agentic AI Developer</h3><ul>
<li>Excellent theoretical and practical knowledge of LLMs: Deep understanding of transformer architectures, attention mechanisms, fine-tuning techniques (LoRA, QLoRA), and retrieval-augmented generation (RAG).</li>
<li>Vast experience in building LLM agents: Proven track record of designing, implementing, and evaluating complex, multi-step agents that can reason, plan, and use tools.</li>
<li>Excellent development skills in Python: Mastery of Python for AI/ML development, data processing, and backend service integration.</li>
<li>Strong Computer Science (CS) background: Solid foundation in algorithms, data structures, operating systems, and software engineering principles.</li>
</ul><h3 class="jobSectionHeader">Specific Experience Required:</h3>
1. Agentic Frameworks &amp; LLM Operations<ul>
<li>
Advanced Prompt Engineering: Demonstrable experience with reasoning-and-action (ReAct), Chain of Thought (CoT), and graph-based agent structures (e.g., LangGraph) to handle complex, long-horizon tasks.</li>
<li>Agent Orchestration Frameworks: Hands-on experience with frameworks like LangGraph for coordinating multiple agents and managing complex state.</li>
<li>RAG: Vector databases, embedding models for code (e.g., GraphCodeBert) and Graph Vector DBs based on ASTs.</li>
<li>LLM Evaluation &amp; Benchmarking: Experience with code generation benchmarks, specifically SWE-bench (and knowledge of its variants like SWE-bench++), to rigorously test and improve model performance.</li>
<li>Telemetry &amp; Fine-Tuning Pipelines: Designing data collection systems (telemetry) to capture agent trajectories (state, action, observation) for creating high-quality datasets for model fine-tuning.</li>
</ul>
2. C++ &amp; Software Engineering (SWE) Tooling<ul><li>
Deep C++ Ecosystem Knowledge: This is non-negotiable. Must have experience with the tools the agent will use, including:</li></ul><ul>
<li>Build Systems: CMake, Make, and preferably Bazel.</li>
<li>Debuggers: GDB, LLDB, and their programmatic interfaces.</li>
<li>Profilers: perf, Valgrind, or other C++ performance analysis tools.</li>
<li>IDE Extension / Language Server Protocol (LSP): Experience building IDE plugins (for VS Code, CLion, etc.) or familiarity with the Language Server Protocol (LSP) to understand how an agent can programmatically interact with an IDE's core features (e.g., &quot;find all references,&quot; &quot;go to definition&quot;).</li></ul>
3. Program Analysis<ul>
<li>
Static &amp; Dynamic Analysis: Understanding of static analysis (e.g., Clang-Tidy, Clang Static Analyzer) and how to parse their output to guide an agent's code modifications.</li>
<li>Abstract Syntax Trees (ASTs): Experience using tools like Clang's LibTooling or Tree-sitter to programmatically parse, analyze, and perform &quot;surgical changes&quot; to C++ code, which is far more reliable than text-based regex.</li>
</ul>
4. Backend &amp; Cloud Infrastructure<ul>
<li>
Remote Execution &amp; Sandboxing: Experience with container technologies (Docker, Firecracker) and remote execution environments to create the &quot;remote sandbox&quot; where agents can safely build and run code.</li>
<li>API &amp; Protocol Design: Experience designing and integrating with RPC/API protocols (gRPC, REST) to handle communication between the IDE plugin, the backend, and various agent servers.</li>
<li>Cloud Services &amp; Databases: Proficiency with a major cloud provider (AWS, GCP, Azure), database management (SQL/NoSQL), and cloud-native orchestration tools (e.g., Kubernetes) for managing the agent orchestration and backend infrastructure.</li>
</ul><h3 class="jobSectionHeader">Who You Are</h3>
You are a builder at heart, driven by curiosity and a desire to solve hard problems. You don't wait for instructions; you identify opportunities and seize them. You are comfortable with ambiguity and thrive in a fast-paced, innovative environment where you are encouraged to experiment and push boundaries. You are a clear communicator who can articulate complex technical concepts and work collaboratively to achieve ambitious goals.
Benefits<h3 class="jobSectionHeader">
What We Offer</h3><ul>
<li>Competitive salary in USD</li>
<li>Comprehensive health allowance</li>
<li>Relocation allowance (if you're moving to Islamabad)</li>
<li>Monthly team events and offsites</li>
<li>A beautiful, collaborative office space</li>
<li>Work alongside world-class AI researchers and engineers</li></ul></div>

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