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ai agent engineer

Beam AI

<div>Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/.<h3 class="jobSectionHeader">

About the Team
</h3>Beam&rsquo;s AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam&rsquo;s platform evolves and how our customers succeed.
<h3 class="jobSectionHeader">About the Role</h3>
We're looking for an AI Agent Engineer to join Beam and help us deliver AI-powered solutions! In this role, you'll be at the core of our automation platform, designing and refining AI-driven workflows through prompt engineering and hands-on problem-solving. You&rsquo;ll work closely with the team to understand business needs and help build agents that drive real impact.
This is a great opportunity for someone curious about AI, eager to learn, and excited to gain hands-on experience in a fast-paced startup environment. We&rsquo;re especially looking for someone with a technical foundation and programming skills, who is comfortable learning new tools and translating process requirements into automated workflows. This is a great opportunity for someone who has a strong drive to build, test, and improve real-world AI solutions.<h3 class="jobSectionHeader">
Responsibilities</h3>
Your work will focus on agent building and prompt design, while collaborating with team members to support project delivery. The key responsibilities include:<ul>
<li>
Build AI agents using our no-code platform, focusing on prompt creation and automation workflows.</li>
<li>Present demonstrations of your AI agents, showing how they address business needs and improve efficiency.</li>
<li>Collaborate with the internal team to scope use cases, break down processes, and translate them into agent logic.</li>
<li>Support integration efforts by understanding basic API connections and working with our technical team.</li>
<li>Participate in internal testing, feedback cycles, and training sessions to build skills in agent creation and no-code tools.</li>
<li>Contribute to improving workflows by sharing learnings from experimentation and demo creation.</li>
</ul>
Requirements<ul>
<li>
Bachelor's in Computer Science, Software Engineering, AI/ML or a related technical field.</li>
<li>Prior experience (e.g., internships, academic projects, or part-time roles) in technical roles such as Solutions or deployment Engineering, or Implementation Support.</li>
<li>Interest in prompt engineering and willingness to learn hands-on.</li>
<li>Programming knowledge, ideally in Python or Node.js.</li>
<li>Ability to break down business processes and think analytically about automation.</li>
<li>Basic understanding of how APIs work and how systems connect.</li>
<li>Strong communication and documentation skills.</li>
<li>Interest in AI technologies and a willingness to learn in a hands-on, fast-paced environment.</li>
</ul>
Nice to have:<ul>
<li>
Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar.</li>
<li>Background in AI/ML or experience applying AI to business workflows.</li>
<li>Experience in fast-paced or startup environments.</li>
</ul>
Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
What you&rsquo;ll find here<ul>
<li>Ownership with clarity: You&rsquo;ll drive work from idea to execution in a high-context, high-autonomy environment. We trust people to lead and follow through.</li>
<li>Growth that compounds: Whether you're deepening your technical expertise, exploring leadership, or learning across disciplines, we support growth paths that aren&rsquo;t one-size-fits-all.</li>
<li>Work that matters: You&rsquo;ll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments.</li>
<li>Aligned incentives: We offer competitive compensation and meaningful equity, designed for long-term value creation, not just short-term rewards. When Beam wins, you do too.</li>
<li>A culture that raises the bar: You&rsquo;ll work with sharp, kind teammates who value directness, curiosity, and momentum. We challenge each other to do better and support each other every step of the way.</li>
</ul>If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

AI Agent Engineer

<div>Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/.<h3 class="jobSectionHeader">

About the Team
</h3>Beam&rsquo;s AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam&rsquo;s platform evolves and how our customers succeed.
<h3 class="jobSectionHeader">About the Role</h3>
As a Senior AI Agent Engineer at Beam, you will play a key role in delivering enterprise-grade AI automations tailored to real business processes. You&rsquo;ll work directly with clients to understand their requirements, break down complex workflows, and design prompt-driven agents that solve high-impact problems. You'll also support integration efforts with client systems and ensure smooth delivery from concept to deployment.
We&rsquo;re looking for someone who thrives in a hands-on, fast-moving environment, with a strong technical foundation, programming skills, a process-oriented mindset, and a passion for AI. You should feel confident working with APIs, designing robust automations, and collaborating across teams to turn business needs into working solutions. If you enjoy working across clients, technology, and automation, and want to build things that work in the real world, this is the role for you.<h3 class="jobSectionHeader">
Responsibilities</h3>
Your work will involve both prompt engineering excellence and close customer collaboration. You will be expected to:<ul>
<li>
Drive the entire lifecycle of AI automation deployment, from understanding customer requirements, through solution design, to hands-on implementation using our no-code Agent OS.</li>
<li>Engage directly with customers across technical and executive teams, helping them discover automation opportunities and building AI solutions that improve their operations.</li>
<li>Collaborate closely with product, engineering, and solutions teams to scope, define, and implement new features based on real customer needs.</li>
<li>Design agentic automations and engineer prompts that are scalable, efficient, and integrate smoothly into customer workflows.</li>
<li>Stay up to date with the latest advancements in AI and apply them to solve critical business problems and drive new features that impact the future of Beam's AI platform.</li>
<li>Troubleshoot technical issues and provide guidance to both customers and internal teams throughout the implementation process.</li>
<li>Act as a strategic technical partner, advising customers on best practices, helping them adopt AI agents, and identifying opportunities for deeper integration.</li>
<li>Work with client-side and internal technical teams to scope and manage API-based integrations.</li>
<li>Provide structured feedback from real use cases to help improve our platform.</li>
</ul>
Requirements<ul>
<li>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, AI, or a related technical field.</li>
<li>At least 5 years of experience in roles like Solution Engineering, IT Consulting, Implementation or Deployment Engineering.</li>
<li>Strong hands-on experience with prompt engineering, including writing, testing, and optimizing prompts in a structured way.</li>
<li>Programming skills, especially in Python or Node.js.</li>
<li>Solid understanding of APIs and how to use them to integrate external systems.</li>
<li>Project management experience, able to manage delivery timelines and client expectations.</li>
<li>Experience engaging directly with clients, especially around requirement gathering and solution delivery.</li>
<li>Analytical and process-driven mindset, able to break down business workflows and think structurally.</li>
<li>Excellent communication skills, with the ability to clearly explain technical concepts.</li>
<li>Passion for staying up to date with AI trends, tools, and industry developments.</li>
</ul>
Nice to have:<ul>
<li>
Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar.</li>
<li>Background in AI/ML or experience applying AI to business workflows.</li>
<li>Experience in fast-paced or startup environments.</li>
</ul>
Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
Our culture is shaped by our values in action:<ul>
<li>
AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn&rsquo;t just what we build, it's how we operate.</li>
<li>Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.</li>
<li>Speed as a habit: We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.</li>
<li>Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.</li>
<li>Highly aligned, loosely coupled: We align on outcomes, not tasks. You&rsquo;ll work independently, but never in isolation.</li>
<li>Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.</li>
</ul>
If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

Senior AI Agent Engineer

Tjara.ca

Job Title: Agentic AI EngineerLocation: Karachi, Pakistan/Remote (CET Hours) Job Type: Part-time onsite (hybrid) Department: Agentic AI Experience Level: Junior-Level (0-2 years) Nature: Contractual (3-months&rsquo; probation, 12-Months in total) (renewable)PCMCI Quantum is a global system integrator specializing in Aerospace, Artificial Intelligence, Embedded Systems, IoT, and Robotics, delivering customized, end-to-end solutions across Commercial and Defense sectors. We bridge requirements with technology to build secure, scalable, and intelligent systems that transform innovation into execution. With partnerships across North America, Europe, Asia, and the Middle East, PCMCI Quantum drives real-world impact through precision engineering and strategic integration.PCMCI Quantum is seeking an Agentic AI Engineer to design, develop, and deploy autonomous AI agents that enhance operational intelligence and automation for international business clients. You will work on multi-agent architecture, integrating large language models (LLMs) with enterprise systems to create adaptive, reasoning-based workflows. This position combines AI engineering and workflow automation, ideal for someone experienced in developing robust, scalable AI agent systems using automation platforms and custom Python frameworks, with a passion for delivering intelligent, production-grade solutions.Education:Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.Additional certification or training in AI, Automation Platforms (n8n, Make, Voiceflow) will be considered an asset.Key Responsibilities:Design and deploy AI agents and multi-agent systems that automate complex business workflows and enhance operational efficiency.Integrate AI systems with ERP, CRM, and HRM tools (e.g., Odoo, HubSpot, Zoho) using APIs, SDKs, and webhooks.Create and orchestrate automation workflows using n8n, Make, and Voiceflow, transitioning them into custom Python frameworks.Collaborate with cross-functional teams across AI, embedded systems, and software engineering to deliver cohesive solutions.Perform testing, versioning, and documentation to ensure scalability, reliability, and security.Contribute to PCMCI Quantum&rsquo;s Agentic AI framework and reusable agent architecture library.Essential Requirements:A. Programming FundamentalsStrong proficiency in Python (this is critical)Understanding of APIs, REST principles, and how to make API callsBasic knowledge of web frameworks (FastAPI or Flask)Familiarity with JSON, data structures, and working with external librariesExperience with Git and version controlB. AI &amp; Learning MindsetBasic understanding of how Large Language Models (LLMs) work (e.g., ChatGPT, Claude)Curiosity about AI agents, prompts, and automation conceptsWillingness to learn about LangChain, RAG systems, and vector databasesStrong problem-solving skills and ability to learn new technologies quicklyC. Integration &amp; Software EngineeringExperience working with APIs (calling, testing, handling responses)Understanding of how different software systems communicateBasic knowledge of data formats (JSON, CSV) and data processingComfortable reading documentation and implementing integrationsPreferred Experience (Nice to Have):V1.0.3.11.2025.DAAny hands-on experience with automation tools (Make, n8n, Zapier, or similar)Previous projects involving API integration or connecting different systemsExperience building chatbots, workflow automation, or AI-related projectsFamiliarity with cloud platforms (AWS, Google Cloud, Azure)Participation in hackathons, open-source contributions, or personal AI projectsUnderstanding of business processes or enterprise software systemsWhat We're Looking For:Strong learning ability and self-motivation to explore new technologiesProblem-solving mindset with attention to detailGood communication skills for collaborating with technical and non-technical team membersAbility to take feedback constructively and improve continuouslyPassion for AI and interest in building practical, real-world solutionsWhat We Offer:Mentorship &amp; Training: Learn from experienced AI engineers and grow your skills in agentic AI systemsHands-on experience with cutting-edge AI technologies and frameworksOpportunity to work on real projects for international clientsExposure to multi-agent systems, LLM orchestration, and enterprise integrationsCompetitive compensation package based on experienceHybrid work environment with flexible learning opportunitiesClear growth path from junior to mid-level AI engineerJob Type: Full-timeWork Location: In person

Agentic AI Engineer

LeadNexis

Seeking a Full Stack Developer (5+ years experience) with deep expertise in Node.js, Python, and JavaScript to design, develop, and deploy advanced AI-powered chat systems, agentic workflows, multi-agent architectures, and retrieval systems across Azure and modern environments (e.g., Vercel).The ideal candidate is not only strong in full-stack engineering but is also fluent in AI engineering workflows, including the use of AI-assisted coding tools, modern IDEs, and frameworks for RAG pipelines, MCP-based systems, tool calling, and orchestration.You will build robust AI agents, retrieval systems, and scalable dashboards with an emphasis on security, compliance, and enterprise-grade performance.Key ResponsibilitiesDevelop AI-driven ingestion, retrieval, and summarization pipelines using Azure Functions, Durable Functions, Logic Apps, Cosmos DB, and Azure AI SearchDesign and deploy RAG pipelines, multi-vector search, embeddings workflows, and retrieval-augmented routingBuild agentic systems using frameworks such as LangChain, Semantic Kernel, AutoGen, MCPs, tool-calling architectures, and multi-agent orchestrationImplement AI-assisted development workflows using tools like GitHub Copilot, Cursor, VS Code AI extensions, Azure AI Studio tools, etc.Integrate LLMs (GPT-4/5, Azure OpenAI, Claude, etc.), external APIs, and internal data sources into unified systemsDevelop secure and responsive dashboards using React / Next.js, including full authentication and RBAC via Entra ID / Azure ADContainerize applications and automate deployments using Docker, GitHub Actions, and CI/CD pipelinesImplement full traceability: citations, feedback loops, evaluation pipelines, logging, and monitoringWork closely with cross-functional teams to define system requirements, architecture, and compliance standardsCore SkillsAI &amp; Agent EngineeringStrong expertise in designing RAG systems, embedding pipelines, vector stores, and hybrid searchExperience with MCP (Model Context Protocol) workflows, tool calling, and agent-to-agent communicationProficient in AI agent frameworks: LangChain, Semantic Kernel, AutoGen, Microsoft MA framework, or equivalentSkilled in using AI coding copilots &amp; AI-powered IDEs (Cursor, GitHub Copilot, VS Code AI tools, etc.)Full Stack Engineering5+ years in Node.js, Python, JavaScript/TypeScriptFrontend frameworks: React, Next.jsBackend services: REST APIs, messaging, event-driven architecturesAzure CloudAzure Functions, Logic Apps, Durable FunctionsCosmos DB, Azure AI Search, Blob Storage, Key VaultAzure App Service, Azure Container Apps, API ManagementDevOps &amp; SecurityDocker, GitHub Actions, automated CI/CD pipelinesEntra ID / Azure AD for identity and access managementStrong understanding of secure coding and enterprise security protocolsJob Type: Full-timePay: Rs170,000.00 - Rs200,000.00 per monthWork Location: In person

Full Stack Developer (AI/LLM)

SOC Solutions LLC

Job Title: Senior AI Engineer (AI Agents Specialist) Location: Karachi (On-site) Company: Botmer International Schedule: Full-time, 40 hours/week Working Hours: US Timezone &mdash; 7:00 PM to 3:00 AM Pakistan Time (Monday to Friday)About the Role: Botmer International is hiring a highly experienced Senior AI Engineer with deep expertise in designing, developing, and deploying AI Agents for production environments. This is a senior-level role requiring at least 5 years of hands-on experience in AI, machine learning, LLMs, and automation systems.You will work closely with our global clients (US, EU, Middle East) to build advanced autonomous agents, workflow systems, custom LLM solutions, and integrations that power real business operations. This role demands strong ownership, problem-solving, and R&amp;D capabilities.Key Responsibilities<ul><li>Build and optimize AI Agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, or custom pipelines.</li><li>Develop advanced LLM-based applications, chatbots, role-play agents, calling agents, and process automation systems.</li><li>Architect and deploy scalable AI systems using Python, Node.js, or any modern tech stack.</li><li>Integrate AI systems with APIs, vector databases, CRMs, and third-party tools.</li><li>Conduct prompt engineering, model fine-tuning, and RAG pipeline optimization.</li><li>Collaborate with product, engineering, and client teams to deliver production-ready AI solutions.</li><li>Lead junior engineers and ensure high-quality code standards.</li><li>Work independently during US business hours and deliver timely outcomes.</li></ul>Required Skills &amp; Experience<ul><li>Minimum 5+ years professional experience in AI/ML, LLMs, or related fields.</li><li>Strong experience building AI Agents (voice agents, chat agents, workflow agents, decision-making agents, etc).</li><li>Strong command of Python and/or Node.js.</li><li>Deep understanding of LLMs, embeddings, vector databases (Pinecone, Weaviate, Chroma, Supabase vectors).</li><li>Experience with LangChain, AutoGen, CrewAI, or similar agent frameworks.</li><li>Clear understanding of RAG, context handling, memory, and model orchestration.</li><li>Experience developing real production-level AI systems.</li><li>Strong problem-solving, architecture design, and debugging skills.</li><li>Ability to handle client discussions and work in a fast-paced startup environment.</li></ul>Nice-to-Have<ul><li>Experience with calling agents, Twilio, or real-time voice systems.</li><li>Experience with model fine-tuning (Llama, GPT, Qwen, Mistral).</li><li>Experience with cloud platforms (AWS, GCP, Azure).</li><li>Background in automation tools like Make, n8n, or Zapier.</li></ul>What We Offer<ul><li>Competitive salary based on experience.</li><li>Opportunity to work with US and EU founders building cutting-edge AI products.</li><li>Fast-growth environment with leadership opportunities.</li><li>Work on real-world AI projects affecting millions of users.</li></ul>Job Type: Contract Contract length: 1 monthApplication Question(s):<ul><li>This is an urgent hiring, can you join immediately?</li><li>What is your current salary + expected salary for this role?</li><li>Note: We are a staff augmentation company, helping startups hire top engineers from Pakistan. We offer 1 full-time and long-term role, but on a contract that is renewed every month. Are you comfortable with this work setting?</li></ul>Experience:<ul><li>Artificial Intelligence Development: 5 years (Preferred)</li><li>Agentic AI: 2 years (Preferred)</li></ul>Work Location: In person

Senior AI Engineer

Sofstica

Key Responsibilities1. AI Agent Development: Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.2. Full-Stack Integration: Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.3. Deployment &amp; Scalability: Deploy and maintain AI models in production environments.4. Cross-Team Collaboration: Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.QualificationsTechnical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of relevant experience do you have?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Full stack - AI Engineer (1+ yrs experienced)

Key Responsibilities1. AI Agent Development: Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.2. Full-Stack Integration: Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.3. Deployment &amp; Scalability: Deploy and maintain AI models in production environments.4. Cross-Team Collaboration: Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.QualificationsTechnical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of relevant experience do you have? </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Full Stack AI Engineer (1+ yrs experienced)

Explore 459+ Ai agent engineer in Karachi this December. Find roles across top companies and apply now to boost your career.