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ai / ml engineer (applied ai & automations)

ai ml engineer applied ai automations

ALBI

<div>We are a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.
Recently voted a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and backed by Y Combinator, this is an exciting time to join our team as we enter a stage of rapid growth and product expansion.
We&rsquo;re looking for an AI / ML Engineer to help us build production-grade AI systems that power real operational workflows across our platform. This role is hands-on and highly impactful &mdash; you&rsquo;ll work on NLP, LLM-powered features, AI-driven automations, and scalable machine learning systems that are actively used by customers.
You&rsquo;ll collaborate closely with product, engineering, and leadership, owning AI features end-to-end &mdash; from data and models to APIs and production deployment &mdash; while helping shape the future of AI at Albi.
Requirements
Key Responsibilities:<ul>
<li>
Design, build, and deploy applied AI and ML features used in production environments</li>
<li>Develop NLP and LLM-based systems (classification, extraction, summarization, QA, RAG)</li>
<li>Build and maintain AI-driven workflows and automations integrated with core product logic</li>
<li>Design and implement backend services and APIs to support AI inference and data processing</li>
<li>Work with embeddings, vector search, and retrieval-augmented generation (RAG) pipelines</li>
<li>Train, fine-tune, and optimize domain-specific machine learning models</li>
<li>Improve model performance across accuracy, latency, reliability, and cost</li>
<li>Deploy and monitor ML systems in cloud environments</li>
<li>Collaborate closely with product managers and engineers to deliver impactful AI features</li>
<li>Participate in architectural decisions, code reviews, and technical planning</li>
<li>Contribute to testing, monitoring, and continuous improvement of AI systems in production</li>
</ul>
Requirements:<ul>
<li>
3+ years of professional experience in AI / ML or software engineering roles</li>
<li>Strong proficiency in Python</li>
<li>Hands-on experience with machine learning, NLP, or LLM-based systems</li>
<li>Experience deploying ML models or AI services into production</li>
<li>Experience building and integrating RESTful APIs</li>
<li>Familiarity with cloud platforms (Azure, AWS, or GCP)</li>
<li>Understanding of CI/CD pipelines and production reliability</li>
<li>Strong problem-solving skills and a product-oriented mindset</li>
<li>Excellent collaboration and communication skills</li>
</ul>
Benefits
We&rsquo;re driven by purpose, fueled by high energy, and backed by venture funding. We&rsquo;re unapologetically ambitious and make sure that everyone has the support they need to succeed.
We offer a competitive and comprehensive benefits package, including:<ul>
<li>
Competitive salary (based on experience and location)</li>
<li>Generous PTO</li>
<li>Medical, dental, and vision insurance coverage</li>
<li>401(k) plan</li>
<li>High ownership and autonomy over your work</li>
<li>Collaboration with a team of smart, kind, and motivated engineers</li>
<li>An environment where your ideas are valued and growth is prioritized</li>
<li>Regular team events and company off-sites</li>
<li>Equipment budget to help you do your best work</li>
<li>Ongoing learning, mentoring, and career development opportunities</li>
</ul>
Your journey is your own &mdash; and we&rsquo;re here to help you thrive, no matter your starting point.</div>

AI / ML Engineer (Applied AI & Automations)

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

Jorofy Private Limited

AI Automation Engineer (Entry-Level) at ENUMRequired Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in computer science, Software Engineering, Artificial Intelligence, or a related field.</li><li>1&ndash;2 years of professional experience (fresh graduates with strong technical foundations are encouraged to apply).</li><li>Solid understanding of AI/ML APIs such as OpenAI, Azure Cognitive Services, Google AI, or Hugging Face.</li><li>Proficiency or hands-on experience with any no-code / low-code tools like Power Automate, N8N, Nintex, Zapier.</li><li>Basic programming experience in at least one of the following:</li><li>Python (automation, AI APIs, scripting)</li><li>JavaScript / TypeScript (for N8N, Node.js-based workflows)</li><li>C# / .NET (enterprise and Microsoft integrations)</li><li>PowerShell / Bash (for system or cloud automations)</li><li>Understanding of RESTful APIs, Webhooks, and JSON-based integrations.</li><li>Familiarity with version control systems (Git/GitHub/GitLab).</li><li>Working knowledge of databases (SQL Server, PostgreSQL, or MongoDB).</li><li>Exposure to cloud environments (Azure Logic Apps, AWS Lambda, or Google Cloud Functions is a plus).</li><li>Strong understanding of prompt engineering and conversational design for chatbots.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Self-motivated with a continuous learning mindset.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

AI Automation Engineer (Entry-Level)

Indigo Textile Pvt. Ltd.

We&rsquo;re Hiring &ndash; AI EngineerIndigo Textile Pvt. Ltd is looking for fresh graduates from NUST and FAST who are passionate about AI, ML, and deep learning to join our team.If you&rsquo;ve worked on ML/DL/NLP projects, have a GitHub portfolio, or completed an AI-related FYP, we&rsquo;d love to hear from you.Apply at: hr@indigo.com.pkPort QasimJob Type: Full-timeWork Location: In person

AI Engineer

Systems Limited

<div>
 
 About the job:
 
 
 
 
 
 We are looking for a Cloud AI Engineer to design, deploy, and manage scalable AI solutions on Azure, driving innovation with secure, high-performance cloud infrastructure.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy cloud-based AI solutions integrating ML models and AI tools.
 </li>
 <li>
 Collaborate with data scientists and engineers to deliver scalable AI models on Azure.
 </li>
 <li>
 Implement automation for deployment, monitoring, and management of AI workloads.
 </li>
 <li>
 Optimize cloud infrastructure for performance, security, and cost efficiency.
 </li>
 <li>
 Manage Azure AI Foundry, AI Hub, OpenAI, Azure ML, Azure Data Factory, Kubernetes (AKS), and cloud networks.
 </li>
 <li>
 Develop APIs and data pipelines connecting AI models to other systems.
 </li>
 <li>
 Monitor, troubleshoot, and resolve cloud AI system issues.
 </li>
 <li>
 Ensure compliance with security standards and industry best practices.
 </li>
 <li>
 Provide guidance and support to the team for continuous improvement.
 </li>
 <li>
 Participate in Cloud Center of Excellence (CCoE) activities and collaborate with Cloud Architects.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 4-6 years&rsquo; experience in cloud solutioning and deployment (banking sector preferred).
 </li>
 <li>
 2-4 years&rsquo; experience supporting AI platforms on cloud.
 </li>
 <li>
 Hands-on experience with Azure AI services and cloud infrastructure.
 </li>
 <li>
 Proficient with Terraform, Azure DevOps, PowerShell/Bash scripting, and cloud IaaS/PaaS.
 </li>
 <li>
 Strong knowledge of cloud architecture, networking, security, monitoring, and compliance.
 </li>
 <li>
 Experience in large-scale production environments, upgrades, and migrations.
 </li>
 <li>
 Problem-solving skills with ability to manage incidents and ensure high availability.
 </li>
 <li>
 AI or cloud technology certifications preferred.
 </li>
 </ul>
 
 
</div>

AI Cloud Engineer

Quanrio LLP

Location: Karachi, Pakistan Experience Required: Minimum 1.5 yearsJob Description: We are seeking a passionate and skilled AI Engineer to join our team in Karachi. The ideal candidate will have at least 1.5 years of hands‑on experience in deploying and fine‑tuning open‑source Sovereign Large Language Models (LLMs). You will be responsible for building, optimizing, and scaling AI solutions, ensuring secure and efficient deployment of LLMs, and collaborating with cross‑functional teams to integrate advanced AI capabilities into our products.Key Responsibilities<ul><li>Deploy, configure, and manage open‑source Sovereign LLMs in production environments.</li><li>Fine‑tune LLMs for domain‑specific tasks such as text generation, summarization, and Q&amp;A.</li><li>Collaborate with data scientists and backend engineers to integrate AI models into applications.</li><li>Optimize model performance, latency, and scalability.</li><li>Ensure compliance with data privacy and security standards in AI deployments.</li><li>Conduct experiments, evaluate models, and document results for continuous improvement.</li><li>Stay updated with the latest advancements in AI/ML and open‑source LLM ecosystems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Minimum 1.5 years of professional experience in AI/ML engineering.</li><li>Hands‑on experience with open‑source LLM frameworks such as Hugging Face Transformers, LangChain, RAG pipelines, or similar.</li><li>Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).</li><li>Experience with fine‑tuning techniques (LoRA, PEFT, parameter‑efficient training).</li><li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) for retrieval‑augmented generation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker/Kubernetes.</li><li>Understanding of MLOps practices, CI/CD pipelines, and model monitoring.</li><li>Strong problem‑solving skills and ability to work in collaborative teams.</li></ul>Job type: Full timeJob Type: Full-timePay: Rs150,000.00 - Rs180,000.00 per monthWork Location: In person

ULTIMATE BUILDMART

Job DescriptionWe are hiring a highly skilled AI/ML Engineer with hands-on experience in Computer Vision, Object Detection, LLM-based systems, vector databases, and async backend development. Ideal candidate will build production-ready AI pipelines, optimize models, integrate APIs, and deploy scalable systems.Key Responsibilities<ul><li>Develop and optimize Computer Vision pipelines using OpenCV/cv2 and YOLO.</li><li>Train, fine-tune and integrate object detection models, embeddings, and custom datasets.</li><li>Build async backend services using FastAPI (must be async-first) and integrate ML/DL models.</li><li>Implement vector search pipelines using pgvector, Qdrant, or FAISS.</li><li>Build RAG pipelines using LangChain, LangGraph, or other LLM frameworks.</li><li>Work with open-source LLMs (Hugging Face, Ollama, vLLM).</li><li>Use async clients like HTTPX to integrate external APIs efficiently.</li><li>Build microservices, deploy models, and containerize applications using Docker.</li><li>Handle data pipelines, model serving, embeddings, and hybrid search workflows.</li><li>Collaborate with team on architecture, debugging, optimization, and deployment.</li></ul>Required Skills &amp; TechnologiesAI / ML / CV<ul><li>OpenCV / cv2</li><li>YOLO (v5/v7/v8/v11)</li><li>PyTorch / TensorFlow</li><li>Object Detection / Fine-tuning</li><li>Image preprocessing &amp; augmentation</li></ul>Backend &amp; Async Development<ul><li>FastAPI (async architecture)</li><li>Asynchronous programming</li><li>Threading, multiprocessing, parallelism</li><li>Socket programming</li><li>HTTPX (async client)</li></ul>LLM / RAG / GenAI<ul><li>LangChain / LangGraph</li><li>Hugging Face models</li><li>LLaMA / Mistral / open-source LLMs</li><li>RAG pipeline development</li><li>Embeddings and vector search</li><li>vLLM, Ollama (optional but preferred)</li></ul>Vector Databases<ul><li>pgvector</li><li>Qdrant</li><li>Hybrid search (keyword + vector)</li></ul>DevOps &amp; Tools<ul><li>Docker</li><li>Git / GitHub</li><li>Linux environment</li><li>API development &amp; integrations</li><li>PostgreSQL</li></ul>Nice to Have<ul><li>Experience with model optimization &amp; quantization</li><li>Video analytics pipelines</li><li>Hands-on with WebSockets / streaming</li><li>Deployment on cloud (AWS, GCP, Azure)</li></ul>Candidate Must Have<ul><li>1&ndash;2 years practical experience (not just coursework)</li><li>GitHub or portfolio with CV/LLM projects</li><li>Strong understanding of production-level AI systems</li><li>Ability to work independently and deliver results fast</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs110,000.00 per monthExperience:<ul><li>YOLO + OpenCV (Computer Vision) : 1 year (Preferred)</li><li>LLM / RAG (LangChain or LangGraph): 1 year (Preferred)</li><li>pgvector or Qdrant (Vector Search): 1 year (Preferred)</li><li>AI/ML engineering: 1 year (Preferred)</li></ul>Work Location: In person

AI/ML Engineer (Computer Vision + LLM + Async Backend)

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AI / ML Engineer (Applied AI & Automations)

Artificial Intelligence Engineer

AI Automation Engineer (Entry-Level)

AI Engineer

AI Cloud Engineer

AI Engineer

AI/ML Engineer (Computer Vision + LLM + Async Backend)