ai engineer

senior ai engineer

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ai automation engineer

AIO App Inc

<div>About the Role:
We are hiring an AI Automation Engineer who lives and breathes automation. Your mission? Identify bottlenecks, streamline workflows, and deploy smart, AI-driven automations across the entire company&mdash;spanning operations, sales, marketing, HR, finance, support, QA and more.
You'll use platforms like n8n, Make.com, Zapier, and custom-built LLM integrations to eliminate manual tasks, reduce turnaround time, and supercharge team productivity. From scraping to summarising, from routing to replying&mdash;you'll automate it all.
If you're the kind of person who looks at any task and thinks, &quot;I can automate this,&quot; we want you on our team. 
What will be your responsibilities?
<ul><li>Auditing existing internal workflows across departments to identify automation opportunities.</li>
<li>Design and build end-to-end automation pipelines using tools like n8n, Make.com, Zapier, or custom scripts.</li>
<li>Integrate with third-party APIs, CRMs, Google Workspace, Slack, Notion, Airtable, etc.</li>
<li>Build LLM-based agents or tasks (e.g., summarisation, classification, smart replies, data enrichment).</li>
<li>Connect AI services (OpenAI, Claude, HuggingFace, OCR tools, etc.) into automated flows.</li>
<li>Handle data parsing, storage, and transformation for structured outputs (CSV, JSON, spreadsheets).</li>
<li>Monitor, debug, and maintain running automations with alerts and logging.</li>
<li>Collaborate with all internal departments to design high-impact, low-maintenance automation solutions.</li>
<li>Create documentation and onboarding playbooks for non-tech teams to understand and use automations.</li> 
</ul>What are we looking for, and what does it require to be the right fit for this role?
<ul><li>2+ years of hands-on experience with n8n, Make.com, Zapier, or similar automation platforms.</li>
<li>Strong understanding of APIs, webhooks, and data flows between SaaS tools.</li>
<li>Experience integrating AI services (OpenAI, LangChain, OCR APIs, Whisper, etc.) into workflows.</li>
<li>Comfortable writing basic scripts (Python, JS, Bash) for custom logic inside automation platforms.</li>
<li>Excellent process-mapping and problem-solving skills.</li>
<li>Ability to work across departments to understand problems and deliver working automation solutions fast.</li>
<li>Bonus: Experience in workflow analytics, process mining, or robotic process automation (RPA).</li>
<li>Bonus: Prior experience automating operations in a SaaS or startup environment.</li>
<li>If you believe anything repeatable should be automated&mdash;this is your dream job.</li> 
</ul>Why Join AIO?
Our mission is to revolutionise the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all of their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded startup.</div>

AI Automation Engineer

Openprovider

<div>About the company
Openprovider is an ICANN-accredited domain registrar and technology company founded in 2004 in Rotterdam, Netherlands. We are a fully-remote organisation with more than 100 team members spread across 20+ countries. Remote working means no office, no painful commuting, and no stressful traffic - all you need is yourself, a laptop, and a cup of coffee!
A diverse and inclusive organisation, we support a healthy work-life balance and are constantly looking for new ways to help the well-being of our people. We support a flexible schedule and are 100% performance and result-oriented. At Openprovider, we're not just a company; we're a mission-driven team dedicated to transforming the domain industry. We believe in providing a trusted digital identity to every business.
Our innovative approach is reshaping the industry from a traditional transactional model to a more customer-centric, subscription-based approach. We pay subscriptions for music, newspapers, and movies - why should domains be any different?
Come join us on our journey to create a trusted digital world.
About the role
We're looking for a highly skilled Full Stack AI Automation Engineer to design, build, and maintain intelligent automation systems that leverage AI to streamline business processes. You'll be responsible for creating end-to-end solutions that connect APIs, automate workflows, and deploy scalable AI-powered applications.
This is a cross-functional role sitting at the intersection of AI/ML, backend development, frontend interfaces, and DevOps - ideal for someone who enjoys building complete solutions and loves bringing AI capabilities to life through automation.
What you'll do<ul><li>
Design and develop full-stack automation platforms using Python for backend logic and modern frontend frameworks</li><li>
Build and integrate AI-powered workflows using LLMs, machine learning models, and intelligent decision-making systems</li><li>
Create and maintain RESTful APIs and GraphQL endpoints for automation services and third-party integrations</li><li>
Deploy and manage applications on Google Cloud Platform (GCP) using serverless functions, containers, and managed services</li><li>
Implement CI/CD pipelines and maintain code repositories using GitHub with proper branching strategies and code reviews</li><li>
Collaborate using Jira for project management and Confluence for technical documentation and knowledge sharing</li><li>
Monitor system performance, implement error handling, and ensure high availability of automation services</li><li>
Work closely with stakeholders to identify automation opportunities and translate business requirements into technical solutions</li><li>
Optimize existing automations for performance, cost-efficiency, and scalability</li><li>
Maintain comprehensive documentation and establish best practices for the automation platform</li></ul> 
What you'll bring<ul><li>
Hands-on engineering mindset with ability to architect and execute complex automation solutions</li><li>
Self-starter attitude with strong problem-solving skills and ability to work independently</li><li>
5+ years of Python development experience with expertise in frameworks like FastAPI, Django, or Flask</li><li>
3+ years of full-stack development experience with modern frontend frameworks (React, Vue.js, or Angular)</li><li>
2+ years of AI/ML integration experience working with LLMs, APIs (OpenAI, Anthropic), and ML frameworks</li><li>
Proven experience with API development including RESTful services, authentication, rate limiting, and documentation</li><li>
Strong GCP expertise including Cloud Functions, Cloud Run, BigQuery, Vertex AI, and infrastructure management</li><li>
Advanced Git/GitHub skills including Actions, project management, and collaborative development workflows</li><li>
Proficiency with Jira for agile project management and Confluence for technical documentation</li><li>
Experience with automation frameworks and workflow orchestration tools</li><li>
Knowledge of database design (both SQL and NoSQL) and data processing at scale</li><li>
Understanding of DevOps practices including containerization (Docker), CI/CD, and monitoring</li><li>
Strong system design skills with ability to architect scalable, maintainable solutions</li></ul>
What we offer<ul><li>
100% Remote Work: Work from anywhere in the world - we&rsquo;re a fully remote company with no mandatory office presence.</li><li>
Flexible Working Hours: Plan your day around your energy and productivity.</li><li>
Paid Time Off &amp; Sick Leave: We encourage rest and recovery &mdash; take time to recharge when needed.</li><li>
Quarterly &amp; Annual Reviews: Transparent performance conversations with space to grow, learn, and progress.</li><li>
Global Team Culture: Collaborate with open-minded colleagues from over 20 countries - we value diversity and inclusion.</li><li>
Regular Online &amp; Offline Events: Virtual coffee breaks, online games, meetups, and company gatherings to keep our connections strong.</li><li>
Learning &amp; Growth Opportunities: Internal workshops, cross-team projects, and knowledge-sharing sessions to keep developing your skills.</li><li>
Modern Remote Workplace: We&rsquo;re proud to be an ISO 27001-certified organization, ensuring high standards of security and professionalism in everything we do.</li><li>
Tools That Empower You: We provide access to top collaboration tools and platforms that make remote teamwork efficient and enjoyable.</li><li>
Supportive Environment: A culture that values trust, transparency, and wellbeing &mdash; we believe happy people build better products.</li></ul></div>

Full Stack AI Automation Engineer - Fully Remote Job

convo

<div><h3 class="jobSectionHeader">Job Description</h3>
The Automation Test &amp; Integration Engineer will work at the intersection of AI-driven test generation and modern QA automation. This role involves validating and refining AI-generated test scripts (Selenium/Playwright), integrating them into CI/CD pipelines, and providing feedback to the AI engineering team to enhance automation accuracy and reliability. The engineer will also ensure seamless integration between automated testing and continuous deployment environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Review and validate AI-generated automation test scripts for accuracy, maintainability, and compliance with standards.</li><li>
Fix or enhance scripts generated by the AI system to ensure they are production-ready.</li><li>
Collaborate with AI engineers to provide structured feedback for improving prompt design and model accuracy.</li><li>
Integrate automation frameworks into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, etc.).</li><li>
Design and maintain reusable automation frameworks using Selenium, Playwright, or equivalent tools.</li><li>
Identify automation opportunities from manual test cases and suggest improvements to the AI generation process.</li><li>
Ensure test coverage, execution efficiency, and reporting in CI/CD workflows.</li></ul><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Strong hands-on experience with Selenium, Playwright, or other test automation frameworks.</li><li>
Proficiency with JavaScript/TypeScript, Python, or C# for test scripting.</li><li>
Good understanding of Azure DevOps, Git, and CI/CD pipelines.</li><li>
Familiarity with test design principles, test data management, and version control.</li><li>
Analytical mindset to assess AI-generated outputs and suggest improvement patterns.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience working with AI/ML-based test generation tools or frameworks.</li><li>
Familiarity with Postman, REST Assured, or API testing automation.</li><li>
Exposure to Docker or Kubernetes for testing in containerized environments.</li><li>
Experience with Playwright parallel execution, test dashboards, or reporting tools like Allure.</li></ul></div>

Sr. Automation Test & Integration Engineer

Nysonian Inc.

<div>
 
 About The Job
 
 
 
 
 Company Overview
 
 
 
 At Nysonian, we exist to build the next generation of global lifestyle brands&mdash;brands that inspire how people travel, move, and live. We believe the future belongs to companies that create not just products, but experiences that empower people worldwide.
 
 
 From luxury travel to fitness and wellness, our portfolio is growing fast:
 
 
 <ul>
 <li>
 NOBL Travel &mdash; one of the fastest-growing luggage brands, redefining modern travel with design, durability, and style
 </li>
 <li>
 FLO Pilates &mdash; the world&rsquo;s leading Pilates brand, bringing the practice into homes and wardrobes everywhere
 </li>
 <li>
 REDGE Fit &mdash; a new standard in at-home strength training, making performance accessible to all
 
 
 </li>
 </ul>
 Behind these brands is our full-stack D2C platform: manufacturing, distribution, and a growing tech team building the apps and digital infrastructure that power seamless customer experiences.
 
 
 With
 
 $150M+ in annual revenue, 300+ teammates across 6 countries, and 1.3M+ customers worldwide
 
 , we&rsquo;ve proven what&rsquo;s possible in just a few years. But we&rsquo;re only at the beginning&mdash;this is a chance to shape brands that will define the next decade.
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled
 
 Automation Engineer
 
 with strong logical problem-solving abilities and hands-on expertise in modern automation platforms. The ideal candidate will have deep experience in building, orchestrating, and optimizing automation workflows across multiple tools and frameworks while being able to communicate clearly, handle pressure, and deliver scalable solutions.
 
 
 This role requires a unique blend of
 
 technical expertise (Python, LangChain, LangGraph, MCP, Postman, etc.)
 
 ,
 
 workflow automation experience (n8n, Zapier,
 
 
 Make.com
 
 
 )
 
 , and the ability to
 
 reason critically and structure complex problems into automated solutions.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain end-to-end automation workflows across n8n, Zapier, Make.com, and custom Python-based solutions.
 </li>
 <li>
 Build integrations between APIs and third-party applications, ensuring scalable and robust systems.
 </li>
 <li>
 Leverage LangChain, LangGraph, MCP, and emerging AI/automation frameworks to design advanced reasoning-based workflows.
 </li>
 <li>
 Use Postman for testing APIs, debugging integrations, and validating automation endpoints.
 </li>
 <li>
 Collaborate with cross-functional teams (Ops, Finance, CS, Marketing) to identify repetitive processes and automate them effectively.
 </li>
 <li>
 Ensure workflows are optimized for scalability, reliability, and security.
 </li>
 <li>
 Document automation processes, maintain version control, and provide training where needed.
 </li>
 <li>
 Handle automation incidents under pressure, ensuring quick recovery and minimal downtime.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong logic building and structured problem-solving mindset.
 </li>
 <li>
 Proficiency in n8n, Zapier, Make.com (Integromat), and workflow orchestration.
 </li>
 <li>
 Hands-on experience with LangChain, LangGraph, and MCP frameworks.
 </li>
 <li>
 Advanced knowledge of Python for scripting, API integrations, and backend automation.
 </li>
 <li>
 Expertise in Postman for API testing and workflow debugging.
 </li>
 <li>
 Understanding of AI reasoning frameworks and ability to apply them in real-world automation.
 </li>
 <li>
 Excellent communication skills to collaborate across teams and explain technical solutions clearly.
 </li>
 <li>
 Strong pressure handling ability &ndash; can deliver under tight deadlines and complex requirements.
 </li>
 <li>
 Knowledge of cloud platforms, APIs, and system integrations.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in workflow automation and system integrations.
 </li>
 <li>
 Background in building AI-assisted automation with reasoning frameworks.
 </li>
 <li>
 Familiarity with database management, data pipelines, and visualization tools.
 </li>
 <li>
 Experience in SaaS, e-commerce, or logistics environments.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge automation frameworks impacting multiple business functions.
 </li>
 <li>
 Fast-paced, growth-oriented environment with room for innovation.
 </li>
 <li>
 Competitive salary &amp; performance-based incentives.
 </li>
 <li>
 Work alongside a team of ambitious, solution-driven professionals.
 </li>
 </ul>
</div>

Automation Engineer

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.
2OWWNNGtq6</div>

Lead GenAI Engineer (Application Development)

KONISHI

Senior Software Engineer &ndash; AI Orchestration &amp; InfrastructureLocation: Islamabad (Remote Option Available for the Right Candidate)Employment: Full-timeAbout UsWe are building Konishi, an Agentic AI platform that automates critical parts of the insurance underwriting process. Our product focuses on extracting data from complex insurance documents, populating structured templates, and integrating seamlessly with enterprise systems.Underwriters currently spend about 800 hours per year on administrative tasks. Our mission is to recover this time, enabling them to focus on high-value decision-making. This is an opportunity to join at an early stage, where your work will have a direct and lasting impact on both the product and the company.The RoleAs a Founding Software Engineer, you will be responsible for building the backbone of our agentic AI system. You will work closely with the founder, who leads AI workflow design and integration, to:<ul><li>Build and maintain the agent orchestration layer, including state management, multi-agent workflows, retries, and parallel execution.</li><li>Set up secure and scalable infrastructure for on-premise, hybrid, and cloud deployments.</li><li>Ensure observability and traceability of agent operations through logging, metrics, and debugging tools.</li><li>Design and implement integrations with enterprise insurance systems such as email servers, underwriting software, and document workflows.</li><li>Apply best practices in software development, deployment, and security to meet the requirements of regulated enterprise environments.</li></ul>Responsibilities<ul><li>Develop and own the orchestration layer for multi-agent workflows.</li><li>Architect and implement scalable infrastructure using containerization (Docker/Kubernetes) and cloud services.</li><li>Design APIs and backend services to connect AI workflows with external systems.</li><li>Implement monitoring, logging, and debugging pipelines to ensure reliability and transparency.</li><li>Ensure data security through audit logging, role-based access control, and encryption in transit and at rest.</li><li>Collaborate closely with the founder to rapidly iterate on evolving product requirements.</li><li>Establish and maintain best practices in code quality, testing, and deployment.</li><li>Contribute to technical discussions with clients.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field with a strong academic record.</li><li>Minimum 5 years of professional software engineering experience (backend, infrastructure, or platform engineering).</li><li>Strong proficiency in Python and JavaScript, including asynchronous programming and API development.</li><li>Experience with cloud platforms and container orchestration (Docker/Kubernetes).</li><li>Familiarity with agentic AI design patterns (orchestrator-worker, hierarchical agents, parallel execution).</li><li>Experience integrating backend systems with enterprise software (APIs, email systems, Excel/Word automation, CRMs).</li><li>Strong understanding of security best practices, including authentication, encryption, and access control.</li><li>Demonstrated ability to deliver high-quality systems quickly.</li></ul>Nice to Have<ul><li>Experience with LangChain, LangGraph, or LlamaIndex.</li><li>Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication protocols.</li><li>Prior exposure to regulated industries such as insurance, banking, or healthcare.</li><li>Knowledge of observability frameworks (OpenTelemetry, Prometheus, Grafana).</li></ul>Why Join Us?<ul><li>High-impact role: Build the core backbone of a product that is redefining insurance technology.</li><li>Ownership: Take responsibility for critical architecture decisions as a founding engineer.</li><li>Growth: Work at the intersection of AI, backend engineering, and enterprise integration.</li><li>Mission-driven: Contribute to transforming how underwriters operate and deliver value.</li><li>Skin in the game: Equity options may be available for the right candidate.</li></ul>Join Konishi and help build the future of insurance!Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Tell me about your proudest accomplishment.</li><li>Can you give me an example of when you had to be resourceful to solve a unique problem?</li></ul>Work Location: In person

Founding Software Engineer - AI Orchestration & Infrastructure

IKONIC

<div>
 
 Position Title:
 
 Generative AI Engineer
 
 
 
 Timings:
 
 4:00pm - 1:00am
 
 
 
 Department:
 
 AI ML
 
 
 
 Location:
 
 Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad
 
 
 
 About Us:
 
 
 
 IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Generative AI Engineer
 
 with deep expertise in Agentic AI systems, RAG architectures, and
 
 LangChain/LangGraph
 
 frameworks to build next-generation AI applications.
 
 
 This role is ideal for someone passionate about LLMs, prompt engineering, fine-tuning, AI agents, and exploring how generative models can power the next wave of automation and creativity.
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 <ul>
 <li>
 Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
 </li>
 <li>
 Certification(s): Not mandatory, but certification in a relevant field is a plus.
 
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 Minimum 3 years of experience in AI/ML engineering with a proven portfolio of relevant projects.
 
 
 
 Experience:
 
 
 
 Minimum 3 years of experience in AI/ML engineering with a proven portfolio of relevant projects.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build Agentic AI architectures using LangChain, LangGraph, or similar frameworks.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) systems for knowledge retrieval and contextualized responses.
 </li>
 <li>
 Design, develop, and deploy Generative AI solutions leveraging state-of-the-art LLMs (GPT, Claude, LLaMA, Gemini, etc.).
 </li>
 <li>
 Build AI chatbots and virtual assistants with advanced memory, reasoning, and multi-turn conversation abilities.
 </li>
 <li>
 Conduct continuous performance tuning and evaluation to enhance chatbot accuracy, tone, and user experience.
 </li>
 <li>
 Develop AI workflows that involve tool use, memory management, and multi-agent collaboration.
 </li>
 <li>
 Integrate vector databases (Pinecone, FAISS, Weaviate, Chroma) for semantic search and long-term memory.
 </li>
 <li>
 Connect LLMs (OpenAI, Anthropic, Mistral, Llama) with APIs, databases, and real-world tools.
 </li>
 <li>
 Fine-tune and evaluate models for accuracy, latency, and reasoning depth.
 </li>
 <li>
 Collaborate with backend and data teams to deploy AI pipelines into scalable production environments.
 </li>
 <li>
 Stay updated with the latest in Agentic AI research, LLM orchestration, and autonomous systems.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.
 </li>
 <li>
 3+ years of experience in AI / ML / LLM-based development.
 </li>
 <li>
 Strong proficiency in Python and experience with LangChain, LangGraph, or LlamaIndex.
 </li>
 <li>
 Proven experience building chatbots or conversational AI applications using LLMs.
 </li>
 <li>
 Hands-on knowledge of RAG pipelines, document embedding, and vector search.
 </li>
 <li>
 Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, Gemini).
 </li>
 <li>
 Understanding of prompt engineering, tool calling, function calling, and memory management.
 </li>
 <li>
 Experience integrating chatbots with web applications, APIs, or CRM systems.
 </li>
 <li>
 Working knowledge of Docker, REST APIs, and cloud services (AWS/GCP/Azure).
 
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 EOBI
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Annual Leaves
 </li>
 <li>
 Casual leaves
 </li>
 <li>
 Sick Leaves
 </li>
 <li>
 Bereavement Leaves
 </li>
 <li>
 Marriage Leaves
 </li>
 <li>
 Paternity Leaves
 </li>
 <li>
 Maternity Leaves
 </li>
 <li>
 Recreational area for in-house games
 
 
 
 </li>
 </ul>
 
 Why Should You Join IKONIC?
 
 
 
 At IKONIC, we believe in providing development opportunities to all its employees, which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
 
 
 <ul>
 <li>
 A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
 </li>
 <li>
 A Dynamic Environment where we focus on encouraging initiatives, promoting agility and creating a work/life balance. We know the value you bring in, and we aim to nurture it.
 </li>
 <li>
 Market Competitive Compensation based upon your professional qualifications and skill set.
 </li>
 <li>
 As an Equal employment opportunity provider. All employment associated decisions are based on an individual's merit.
 
 
 
 </li>
 </ul>
 
 Note:
 
 
 Above goals and job descriptions are indicative and subject to change.
 
</div>

Generative AI Engineer

Explore 322+ Ai automation engineer in Islamabad this November. Find roles across top companies and apply now to boost your career.