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ai architect

ai agent developer

The Orange Club Digital Agency

<p>We are looking for an AI Agent Developer to join our growing team. In this role, you will have the opportunity to design, develop, and optimize AI agents, such as chatbots, virtual assistants, and automated communication systems. In addition to building AI-powered agents, you will be responsible for implementing solutions for lead generation, email marketing, and cold calling using AI-driven systems.</p><p>You&rsquo;ll work with a dynamic team of developers, designers, and product managers to deliver highly functional AI agents that provide innovative solutions for our clients in industries such as e-commerce, SaaS, and marketing. You will also have the chance to develop systems that optimize lead generation, customer outreach, and automate the sales process.</p><p><b>Key Responsibilities:</b></p><ul><li><b>AI Agent Development</b>: Design, develop, and deploy AI-powered agents (chatbots, virtual assistants, etc.) to automate customer interactions, sales processes, and more.</li><li><b>Lead Generation Automation</b>: Build AI-driven tools that automate the process of lead generation, helping our clients capture and qualify leads efficiently.</li><li><b>Cold Calling Automation</b>: Develop systems that integrate AI and speech recognition to enhance cold calling efforts for sales teams, including call scripting, personalized outreach, and follow-up sequences.</li><li><b>Email Marketing Automation</b>: Implement AI-powered systems to automate email marketing, including lead nurturing, personalized follow-ups, and campaign optimization based on AI insights.</li><li><b>Integration with CRM Systems</b>: Integrate AI agents and systems with Customer Relationship Management (CRM) platforms (e.g., Salesforce, HubSpot) to track leads, interactions, and sales progress.</li><li><b>NLP &amp; Machine Learning</b>: Implement Natural Language Processing (NLP) techniques to improve the performance, accuracy, and relevance of AI agents in customer interactions.</li><li><b>Data Analytics &amp; Reporting</b>: Analyze data generated by AI systems to provide actionable insights that improve the performance of lead generation and outreach campaigns.</li><li><b>Client Collaboration</b>: Work directly with clients to understand their unique needs and develop tailored AI solutions that drive their business objectives forward.</li><li><b>Continuous Improvement</b>: Continuously monitor and optimize AI agents to ensure they remain effective and efficient as the business and technologies evolve.</li><li><b>Cross-functional Collaboration</b>: Work with other teams, including developers, data scientists, and marketing professionals, to deliver integrated AI solutions that meet business goals.</li></ul><p><b>Requirements:</b></p><ul><li><b>Proven Experience</b>: Strong background in AI development, including experience with chatbot or virtual assistant development.</li><li><b>Expertise in AI Technologies</b>: Knowledge of machine learning, natural language processing (NLP), and deep learning frameworks (TensorFlow, PyTorch, Rasa, Dialogflow, etc.).</li><li><b>Programming Skills</b>: Proficiency in programming languages like Python, JavaScript, or similar technologies.</li><li><b>Lead Generation Knowledge</b>: Familiarity with lead generation and marketing automation tools, particularly those using AI to optimize outreach efforts.</li><li><b>Cold Calling Automation</b>: Experience in developing AI solutions for automating cold calling and telemarketing activities (speech recognition, text-to-speech, etc.).</li><li><b>Email Campaigns</b>: Experience developing AI-powered systems that enhance email marketing efforts, including automation, segmentation, and personalization.</li><li><b>CRM Integration</b>: Experience with integrating AI solutions into CRM systems to manage and track leads, customer interactions, and sales pipeline.</li><li><b>API Development</b>: Experience with API integration, particularly in connecting AI systems with external platforms (CRMs, email marketing software, etc.).</li><li><b>Cloud Technologies</b>: Familiarity with cloud platforms (AWS, GCP, Azure) to deploy AI solutions.</li><li><b>Collaboration Skills</b>: Excellent communication and teamwork abilities to work effectively with both internal teams and clients.</li><li><b>Problem-Solving</b>: Strong analytical and problem-solving skills, especially when faced with challenges in AI performance or client requirements.</li><li><b>Degree</b>: A Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent work experience.</li></ul><p><b>Nice to Have:</b></p><ul><li><b>Conversational AI</b>: Experience with conversational AI platforms like Rasa, Dialogflow, or Microsoft Bot Framework.</li><li><b>Marketing &amp; Sales Automation</b>: Experience with AI tools for marketing automation and improving sales strategies (HubSpot, Marketo, Salesforce, etc.).</li><li><b>RPA (Robotic Process Automation)</b>: Knowledge of RPA tools to help automate repetitive tasks across business operations.</li><li><b>Agile Methodology</b>: Familiarity with Agile/Scrum development processes.</li><li><b>Digital Agency Experience</b>: Experience working in a fast-paced, digital agency environment where flexibility and speed are key.</li></ul><p><b>Why Join Us?</b></p><ul><li><b>Innovative Projects</b>: Work on exciting, cutting-edge projects that make a real impact on clients&rsquo; businesses.</li><li><b>Career Growth</b>: As we continue to grow, so will your opportunities. You will have ample room for professional growth and skill development.</li><li><b>Supportive Team</b>: Join a team of passionate professionals who value creativity, collaboration, and technical excellence.</li><li><b>Flexible Work Environment</b>: Choose between remote, hybrid, or in-office work arrangements, providing flexibility to suit your needs.</li><li><b>Competitive Salary &amp; Benefits</b>: We offer competitive salaries, health benefits, and other perks to help you thrive.</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs120,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>Can you explain the basics of how a chatbot works, particularly in the context of AI and Natural Language Processing (NLP)? How would you approach building a simple AI-powered chatbot from scratch, and what key technologies or tools would you consider using?</li></ul><p>Location:</p><ul><li>Islamabad (Required)</li></ul>

AI Agent Developer

Creativelogicx

<p>Job description:</p><p>We are seeking an experienced developer to build and integrate AI-powered voice agents using Twilio, Vapi. The ideal candidate should have strong knowledge of conversational AI workflows, call routing, and API integrations.</p><p>*Responsibilities:*</p><p>* Build and optimize AI-based voice agent workflows</p><p>* Integrate Twilio Voice, Studio, and Programmable APIs</p><p>* Connect voice agents with CRM systems (e.g., GHL, HubSpot, etc.)</p><p>* Handle call flows, scheduling, and real-time data updates</p><p>* Troubleshoot call quality, routing, and automation issues</p><p>*Requirements:*</p><p>* Strong experience with *Vapi AI Voice Agent*</p><p>* Hands-on experience with *AI voice assistants* (GPT, VAPI, or similar)</p><p>* Solid understanding of APIs, webhooks, and backend development</p><p>* Ability to work independently and deliver fast, reliable solutions</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI/ML Engineer

Skylabs AI

<p></p><div><h3 class="jobSectionHeader"><b>About Us</b></h3><p>
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.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
We are seeking an exceptional Lead Fullstack Engineer to own the technical direction and development of our user-facing products, including our core IDE plugin. This role is a unique blend of high-level frontend architecture, AI-native UX design, and deep collaboration with our AI and C++ tooling teams.</p><p>
You will be responsible for leading the design of a high-performance, cross-IDE frontend that allows developers to interact with our AI agents. This includes building UIs for streaming agent thoughts, visualizing complex code changes, and interacting with debuggers and profilers. The ideal candidate is a seasoned frontend leader who has shipped production software, understands the C++ developer, and is excited to build the next generation of AI-powered developer tools.</p><p></p><p><b>
Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Lead Frontend Architecture: Architect and lead the development of our core IDE plugin (initially for VS Code) and design an abstraction layer to support other IDEs (e.g., CLion).</li>
<li>Build AI-Native UIs: Design and build complex, high-performance interfaces for interacting with AI agents, including streaming log viewers, rich diff visualizers, and interactive prompt editors.</li>
<li>Integrate Developer Tools: Create UI components that can parse, display, and interact with C++ tooling, such as debugger state (call stacks, variables), profiler output (flame graphs), and build logs.</li>
<li>Collaborate &amp; Define APIs: Work closely with AI and backend engineers to define robust API contracts (gRPC/REST) for agent communication, telemetry, and authentication.</li>
<li>Mentor &amp; Guide: Lead and mentor a team of frontend engineers, setting the standard for code quality, testing, and development velocity.</li>
<li>Implement Telemetry: Design and implement privacy-conscious telemetry to capture user interactions and agent performance data to create feedback loops for our models.</li>
<li>Own the Product Lifecycle: Drive the frontend technical design, implementation, testing, deployment, and iteration from concept to production.</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications &amp; Skills</b></h3><h3 class="jobSectionHeader"><b>
Core Profile: Lead Fullstack Engineer</b></h3><ul>
<li>Expert in Frontend Development: Mastery of modern frontend technologies (e.g., React, TypeScript, Vue) and complex application state management.</li>
<li>Working Knowledge/Experience of C++: Familiarity with the C++ development lifecycle, build systems (CMake), and debugging process. This is essential for designing a UI that genuinely helps C++ developers.</li>
<li>Proven Leadership Qualities: Experience leading a frontend team, setting technical direction, mentoring junior developers, and collaborating with backend, AI, and product teams.</li>
<li>Have Built and Shipped Products: A strong portfolio of shipped products, demonstrating an ability to take a complex idea from concept to production. Ideally, this includes experience in the AI or developer tools domain.</li>
</ul><h3 class="jobSectionHeader"><b>Specific Experience Required:</b></h3><p>
1. IDE Plugin &amp; Desktop Architecture</p><ul>
<li>
IDE Extension Development: Direct experience building plugins for major IDEs, especially VS Code (TypeScript/JavaScript). Familiarity with the plugin architecture for JetBrains CLion (Java/Kotlin) or Visual Studio (C#/.NET) is a major asset.</li>
<li>Cross-IDE Abstraction: Proven ability to design and build frontend abstraction layers that allow a core UI to be &quot;ported&quot; or adapted to different IDE plugin frameworks without a full rewrite.</li>
<li>Language Server Protocol (LSP): Experience integrating with or implementing clients for the Language Server Protocol to handle features like symbol search, definitions, and references.</li>
<li>High-Performance UI: Building responsive, low-latency interfaces that can handle large files and real-time data streams (like build logs or agent thoughts) without degrading the IDE's performance.</li>
</ul><p>
2. Complex AI &amp; Developer Tool UX</p><ul><li>
AI-Native Interfaces: Designing and building UIs specifically for interacting with AI agents. This includes:</li></ul><ul>
<li>Streaming agent responses and &quot;chain of thought&quot; logs.</li>
<li>Visualizing and applying &quot;surgical&quot; code changes (e.g., rich diff viewers, accept/reject buttons).</li>
<li>Creating chat and prompt interfaces for the agentic mode.</li>
<li>Developer Tool Integration: Creating the frontend for C++ specific tooling. This means building UI components that can parse, display, and interact with:</li></ul><ul>
<li>Debugger state (call stacks, variables, breakpoints).</li>
<li>Profiler output (flame graphs, performance reports).</li>
<li>Build System logs and errors.</li>
<li>Data Visualization: Experience with data visualization libraries (like D3.js, react-flow, or similar) to build the interactive Formal Blueprint views, including system diagrams, file trees, and spec viewers.</li></ul><p>
3. Leadership &amp; Product Engineering</p><ul>
<li>
Cross-Functional Collaboration: A strong history of working closely with AI/ML engineers to understand model capabilities and limitations, and with backend engineers to define API contracts (for ACP/MCP support, auth, etc.).</li>
<li>Client-Side Telemetry: Experience implementing robust, privacy-conscious telemetry within a frontend application to capture user interactions and agent performance data for training.</li>
<li>Full Product Lifecycle: Leading the frontend technical design, implementation, testing, deployment, and iteration of a user-facing product.</li>
<li>Authentication &amp; User Management: Integrating frontend clients with backend authentication services, managing user sessions, and handling role-based access to features.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3><p>
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.</p><p></p><p><b>
Benefits</b></p><p></p><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul>
<li>Competitive salary in USD</li>
<li>Comprehensive health insurance 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>

Lead Fullstack Engineer

<p></p><div><h3 class="jobSectionHeader"><b>About Us</b></h3><p>
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.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
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.</p><p>
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.</p><p></p><p><b>
Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></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"><b>Qualifications &amp; Skills</b></h3><h3 class="jobSectionHeader"><b>
Core Profile: Agentic AI Developer</b></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"><b>Specific Experience Required:</b></h3><p>
1. Agentic Frameworks &amp; LLM Operations</p><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><p>
2. C++ &amp; Software Engineering (SWE) Tooling</p><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><p>
3. Program Analysis</p><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><p>
4. Backend &amp; Cloud Infrastructure</p><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"><b>Who You Are</b></h3><p>
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.</p><p></p><p><b>
Benefits</b></p><p></p><h3 class="jobSectionHeader"><b>
What We Offer</b></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 Agentic AI Engineer

<p></p><div><h3 class="jobSectionHeader"><b>About Us</b></h3><p>
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.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
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.</p><p>
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.</p><p></p><p><b>
Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></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"><b>Qualifications &amp; Skills</b></h3><h3 class="jobSectionHeader"><b>
Core Profile: Sr. Backend Engineer</b></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"><b>Specific Experience Required:</b></h3><p>
1. Agent Orchestration &amp; Remote Sandboxing</p><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><p>
2. LLM Model Hosting &amp; Inference</p><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><p>
3. High-Throughput Data &amp; Cloud Infrastructure</p><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"><b>Who You Are</b></h3><p>
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.</p><p></p><p><b>
Benefits</b></p><p></p><h3 class="jobSectionHeader"><b>
What We Offer</b></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

<p></p><div><h3 class="jobSectionHeader"><b>About Us</b></h3><p>
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.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
We are seeking an exceptional C++ IDE Lead to own the product vision, strategy, and execution of our AI-powered developer tools. This is a &quot;player-coach&quot; role for someone who is both a C++ expert and a user-obsessed product leader. You will be responsible for defining the entire user experience of our IDE plugin, translating the needs of C++ developers into a shippable product roadmap.</p><p>
You will be the central hub, working with our AI, frontend, and backend teams to decide what we build and why. You must have an intimate familiarity with C++ IDEs, debuggers, and compilers, and a clear vision for how AI agents can revolutionize the software development lifecycle.</p><p><b>
Requirements</b></p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Product Ownership &amp; Roadmap: Define and own the product roadmap for the IDE plugin. Prioritize features (C++ tooling, PBT, agentic interactions) and make trade-offs to deliver an MVP and iterate.</li>
<li>Developer Experience (DevEx): Conduct user research with C++ developers to deeply understand their pain points and workflows.</li>
<li>AI-First Product Design: Lead the design of the AI-native user experience. Answer critical questions like: How does a user interact with the &quot;Agentic Mode&quot;? How do we visualize the &quot;Formal Blueprint&quot; and present &quot;surgical changes&quot; for review?</li>
<li>Cross-Functional Leadership: Be the primary stakeholder for the frontend, backend, and AI teams. Translate user needs into technical requirements and API contracts.</li>
<li>Toolchain Integration Strategy: Define how our plugin will programmatically interface with the C++ toolchain (compilers, debuggers, build systems).</li>
<li>Cross-Platform Architecture: Guide the architectural design of abstraction layers that allow our plugin to be extensible and portable across different IDEs (VS Code, CLion, etc.).</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications &amp; Skills</b></h3><h3 class="jobSectionHeader"><b>
Core Profile: C++ IDE Lead</b></h3><ul>
<li>C++ Expert: Deep, practical, and modern C++ knowledge. Has lived the pain points of C++ development.</li>
<li>Experience with C++ IDEs: Intimate familiarity with the user experience, workflows, and extension models of major C++ IDEs (e.g., CLion, Visual Studio, VS Code, Emacs/Vim with LSP).</li>
<li>Good Product Background: A strong sense of product ownership, user empathy, and the ability to translate complex technical needs into a clear, shippable product roadmap.</li>
<li>Knowledge of Frontend: Understands frontend architecture and constraints, specifically within IDE extension frameworks, to effectively lead the frontend team.</li>
<li>Have Worked in an AI Company: Experience in an AI-native environment; understands how to build products around AI models and how to leverage agent capabilities.</li>
<li>Can Take Ownership: Proven ability to define and prioritize a feature list, manage stakeholders, and be accountable for the plugin's success.</li>
</ul><h3 class="jobSectionHeader"><b>Specific Experience Required:</b></h3><p>
1. Product &amp; UX Leadership</p><ul>
<li>
Developer Tool Product Management: Proven experience owning the roadmap for a developer-facing tool. This involves defining the MVP, prioritizing features, and making trade-offs.</li>
<li>User-Centric Design for Developers: A passion for developer experience (DevEx). Experience conducting user research with C++ developers to understand their exact needs.</li>
<li>AI-First Product Design: Experience designing UIs that integrate AI agents, including how users interact with agents, visualize formal blueprints, and review surgical code changes.</li>
<li>Telemetry-Driven Iteration: Experience defining and using product telemetry to make data-driven decisions about which features to build or improve.</li>
</ul><p>
2. Deep C++ Toolchain Integration</p><ul>
<li>
Language Server Protocol (LSP): Deep, practical experience using and ideally extending the Language Server Protocol for C++ features (e.g., &quot;search for symbols,&quot; refactoring).</li>
<li>Programmatic Compiler &amp; Debugger Tooling: This is essential. Must have experience interfacing with C++ tools programmatically:</li>
</ul><ul><li>Debuggers: GDB/MI, LLDB's API, or the Visual Studio Debugger API.</li>
<li>Compilers/Static Analysis: Using Clang/LLVM libraries (e.g., LibTooling, LibFormat) for AST-level code analysis and surgical modifications.</li>
<li>Build Systems: Programmatically parsing and interacting with CMake, Make, or Bazel.</li>
<li>Profiling &amp; Performance: Knowledge of how profilers (like perf, Valgrind) work and how their data could be visualized in an IDE.</li></ul><p>
3. Cross-Platform Plugin Architecture</p><ul>
<li>
IDE Extension APIs: Hands-on experience building extensions for at least one major IDE (e.g., VS Code, JetBrains CLion).</li>
<li>Architectural Abstraction: Experience designing the &quot;abstraction layers&quot; that separate the core plugin logic from the platform-specific UI shell (e.g., TypeScript for VS Code, Kotlin/Java for CLion).</li>
<li>API &amp; Extensibility Design: Defining the APIs for MCP and ACP support, ensuring the plugin is extensible by third parties and consumable by other agents.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3><p>
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.</p><p></p><p><b>
Benefits</b></p><p></p><h3 class="jobSectionHeader"><b>
What We Offer</b></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>

C++ IDE Lead

Vyro

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer (LLM Agents &amp; Orchestration)</b></h1><p><b><br>
Role Title:</b> Principal AI Engineer (LLM Agents &amp; Orchestration) <b>Team:</b> Chatly Engineering <b>Focus:</b> Building Autonomous &quot;Super Agents&quot;</p><h2 class="jobSectionHeader"><b><br>
Who We Are</b></h2><p>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><h3 class="jobSectionHeader"><b>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</b></h3><h3 class="jobSectionHeader"><br>
<b>
About the Role</b></h3><p>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p><b>
Agent Architecture:</b> Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</p></li><li><p><b>
Integration Ecosystem:</b> Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</p></li><li><p><b>
Latency &amp; Reliability:</b> Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</p></li><li><p><b>
Memory Systems:</b> Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</p></li><li><p><b>
Evaluation &amp; Observability:</b> Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Requirements</b></h3><ul><li><p><b>
Core Stack:</b> Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</p></li><li><p><b>
Model Internals:</b> Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with <b>Function Calling/Tool Use</b>.</p></li><li><p><b>
Vector Search:</b> Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</p></li><li><p><b>
System Design:</b> Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p>
Opportunity to work on innovative AI products like <b>Chatly</b> and <b>Imagine</b>, shaping the future of creativity and user interaction.</p></li><li><p>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</p></li><li><p>
Competitive compensation and benefits.</p></li><li><p>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</p></li></ul></div><p></p>

Principal AI Engineer (LLM Agents & Orchestration)

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