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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

Spiralyze

<div>
 
 
 Department:
 
 Spiralmetrics Development
 
 
 
 Location:
 
 Remote (Karachi)
 
 
 
 
 Description
 
 
 
 We&rsquo;re looking for a talented full-stack engineer who can build fast, scalable, and intelligent web applications, and is passionate about working with AI APIs, agent workflows, and vector databases.
 
 
 In this role, you&rsquo;ll own features end-to-end&mdash;from designing and implementing front-end interfaces with React and Next.js to building robust back-end services in Node.js or Python. You&rsquo;ll design and integrate APIs, connect AI models like Gemini and OpenAI, and implement custom LLM workflows in production.
 
 
 If you enjoy building data-rich, AI-powered systems, experimenting with cutting-edge technologies, and turning ideas into real-world products, this is the place for you.
 
 
 
 Responsibilities
 
 
 
 
 As a Full-Stack Developer you will:
 
 <ul>
 <li>
 Build and scale full-stack apps (React, Next.js, Node.js)
 </li>
 <li>
 Integrate AI APIs (Gemini, OpenAI, Anthropic) and agent workflows
 </li>
 <li>
 Work with vector DBs (Pinecone, Weaviate, Qdrant, etc.) for retrieval systems
 </li>
 <li>
 Ship fast, from prototype to production
 </li>
 <li>
 Collaborate with design and product teams to bring ideas to life
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Must-Have Skills
 
 <ul>
 <li>
 Front-End: React, Next.js, Tailwind, TypeScript
 </li>
 <li>
 Back-End: Node.js, Express, REST/GraphQL APIs
 </li>
 <li>
 Databases: MongoDB, Redis, and at least one Vector DB (Pinecone, Qdrant, Weaviate, Milvus, etc.)
 </li>
 </ul>
 
 Bonus Points
 
 <ul>
 <li>
 Experience with Puppeteer, Playwright, or large-scale web scraping
 </li>
 <li>
 Experience building RAG systems or multimodal AI tools
 </li>
 <li>
 Familiarity with LangChain, LlamaIndex, or similar agent frameworks
 </li>
 <li>
 Strong sense of product, performance, and UI/UX details
 </li>
 <li>
 AWS, Vercel, or Docker experience
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Cutting-edge work: Learn from the leaders in the high-growth Conversion Rate Optimization sector.
 </li>
 <li>
 Work location: Permanently remote
 </li>
 <li>
 Full-time position with semi-flexible working hours: Must overlap for at least 4 hours each day with ET (usually 8 AM to 12 PM EST), the other 4 hours are up to you!
 </li>
 <li>
 Technological reimbursement: Need a new computer? New software? We will help!
 </li>
 <li>
 Education: You&rsquo;ll have the opportunity to level up your skills with company-sponsored courses and training.
 </li>
 <li>
 20 days of paid vacation plus holidays.
 </li>
 </ul>
</div>

Full-Stack Developer (AI-Driven Systems)

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
TKy0yLI6H2</div>

Lead GenAI Engineer (Application Development)

Sofstica

At Sofstica, we&rsquo;re at the forefront of pioneering AI-driven solutions that revolutionize industries. As part of our AI-first engineering revolution, we&rsquo;re seeking versatile AI Engineers who excel in building intelligent agents and thrive in end-to-end product development. If you&rsquo;re passionate about solving complex problems with code, data structures, and cutting-edge AI frameworks, join us to shape the future of technology.Key Responsibilities<ul><li>AI Agent Development:</li></ul>Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.<ul><li>Full-Stack Integration:</li></ul>Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.<ul><li>Deployment &amp; Scalability:</li></ul>Deploy and maintain AI models in production environments.<ul><li>Cross-Team Collaboration:</li></ul>Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.Qualification Technical 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 Types: Full-time, FresherWork Location: In person

Fullstack - AI Engineer

SuperNova Solutions Pvt. Ltd.

Position Title: Database Engineer (ETL &amp; Data Modeling)We are seeking a skilled and detail-oriented Database Engineer with expertise in ETL development, data modeling, and database optimization. The ideal candidate will design and manage scalable data pipelines to support analytics, AI-driven reporting, and business intelligence initiatives.Key Responsibilities:<ul><li>Design, develop, and maintain ETL pipelines to extract data from ERP and business systems (SAP B1, Dynamics 365, SQL Server, HANA, etc.).</li></ul><ul><li>Map and load extracted data into star schema or data warehouse environments. &bull; Monitor, troubleshoot, and optimize ETL workflows for performance and reliability.</li></ul><ul><li>Perform data validation and reconciliation to ensure data consistency.</li></ul><ul><li>Collaborate with data engineers, analysts, and AI developers to enhance data accuracy and system integration.</li></ul><ul><li>Implement automation and scheduling of ETL jobs using Airflow, SSIS, or Python-based schedulers.</li></ul><ul><li>Assist in database performance tuning, indexing, and schema management</li></ul>Required Skills &amp; Qualification:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li></ul><ul><li>Proven experience in SQL development and ETL pipeline creation (Python, SSIS, etc.).</li></ul><ul><li>Strong knowledge of data warehousing concepts (star/snowflake schema).</li></ul><ul><li>Hands-on experience with SQL Server, Azure SQL, or SAP HANA.</li></ul><ul><li>Proficiency in data mapping, transformation logic, and query optimization.</li></ul><ul><li>Familiarity with version control (Git) and CI/CD for data workflows.</li></ul><ul><li>Nice to Have: Experience with ERP systems (SAP Business One or Dynamics 365).</li></ul><ul><li>Familiarity with Azure Data Factory, AWS Glue, or dbt.</li></ul><ul><li>Exposure to Power BI, Tableau, or AI/ML data integration.</li></ul>Location: Hybrid / On-site &ndash; KarachiTo apply: talent@technaptix.comSubject Line: Database Engineer (ETL &amp; Data Modeling)Job Type: Full-timePay: Rs65,000.00 - Rs130,000.00 per monthWork Location: In person

Database Engineer (ETL & Data Modeling)

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

<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.
<h3 class="jobSectionHeader">About the Team</h3>
Beam&rsquo;s engineering team is building the core infrastructure for self-learning agents, turning AI into reliable, production-grade systems. We work across the full stack, from frontend to infra, solving for real-time orchestration, tool integration, and complex workflow execution. This is a high-trust, high-impact environment where engineers move fast, ship often, and help shape both the product and the platform as we scale. If you care about building with clarity, speed, and depth, you&rsquo;ll do your best work here.<h3 class="jobSectionHeader">
About the Role</h3>
We&rsquo;re looking for a seasoned Software Architect to lead the design of our GenAI and agentic systems. You&rsquo;ll define the architectural north star for how Beam builds intelligent, autonomous agents that reason, learn, and operate at scale. This is a high-impact role for someone who can bridge visionary product thinking with deep technical execution. You&rsquo;ll influence everything from our orchestration frameworks to model experimentation pipelines, and ensure our technical choices align with strategic outcomes.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Define the architecture vision for GenAI and agentic systems, including orchestration, memory, and reasoning layers.</li>
<li>Design modular, scalable systems that support LLMs, RAG pipelines, vector databases, and multimodal inputs.</li>
<li>Architect agentic workflows capable of multi-step reasoning, autonomous decision-making, and long-context operations.</li>
<li>Lead technical decision-making across key systems, ensuring alignment with product goals and cost efficiency.</li>
<li>Build frameworks for experimentation, model evaluation, and fast iteration in production.</li>
<li>Partner with product, ML, and engineering to bring new features to life, with speed and strategic clarity.</li>
<li>Drive scalability, observability, and reliability across inference, retrieval, and orchestration pipelines.</li>
<li>Translate architecture into business impact: act as a technical voice in leadership conversations and client engagements.</li>
<li>Mentor senior engineers, shape design standards, and cultivate architectural excellence across the team.</li>
</ul>
Requirements<ul><li>
10+ years of experience in software engineering, with 3+ years architecting AI/ML systems at scale.</li></ul><ul>
<li>Expertise in LLMs, agentic frameworks, RAG, vector databases, and orchestration layers.</li>
<li>Strong backend engineering skills in Node.js, Python, or Go.</li>
<li>Deep understanding of cloud platforms (AWS, GCP, or Azure) and MLOps tooling.</li>
<li>Track record of aligning architecture with business strategy and measurable outcomes.</li>
<li>Exceptional communication skills across technical and executive audiences.</li>
<li>Proven mentorship and technical leadership experience.</li>
</ul>
Nice to Have<ul>
<li>
Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.</li>
<li>Familiarity with open-source model stacks (Llama, Mistral) or commercial APIs (OpenAI, Anthropic).</li>
<li>Exposure to multi-agent systems and long-running autonomous workflows.</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 prioritize 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>

Software Architect

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