ai/ml engineer

ai engineer

software engineer

associate devops engineer

junior ai/ml engineer

ai engineer agentic systems workflow automation

Atheneum Partners Germany

Experience: 3&ndash;6 years Focus: Agentic AI, Generative AI, ML InfrastructureResponsibilities:<ul><li>Build and deploy agentic AI systems and automated workflows.</li><li>Develop LLM-powered tools, low-latency services, and AI-driven automation.</li><li>Integrate AI models into existing products and infrastructure.</li><li>Optimize ML pipelines and ensure production-grade reliability.</li></ul>Skills: Python, ML Ops/Infra, LLM frameworks (LangChain/LangGraph), API integrations, vector DBs.Job Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthWork Location: Hybrid remote in Lahore

AI Engineer — Agentic Systems & Workflow Automation

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
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Data Scientist

<div>
 
 
 
 
 
 
 Job Title
 
 
 
 
 
 
 
 
 
 
 
 
 : Data Scientist
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Lahore
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-time, (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience with data structuring, cleaning, processing, and visualization tools.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience building and deploying data-driven or AI-assisted solutions.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Good-to-have: Exposure to .NET for application integration or workflow development.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
 
 
 
 
 
 
</div>

Gigalabs (Pvt) Ltd.

<div>We are seeking an AI Engineer with deep expertise in workflow automation tools (n8n, Make, Zapier) and strong foundations in AI/ML integration. Your core responsibility will be to design, build, and maintain AI-powered automated workflows that streamline internal operations, reduce manual effort, and ensure scalable system interactions across the organization.
The ideal candidate can link AI models, APIs, and business systems into end-to-end, self-operating workflows that improve decision-making and team efficiency.
Key Responsibilities<ul>
<li>Build and maintain automation workflows using n8n, Make, and Zapier.</li>
<li>Integrate AI/ML models and APIs (OpenAI, Claude, Hugging Face, custom models) into real-time automated systems.</li>
<li>Connect data sources, CRMs, dashboards, cloud storage, Slack, email, and internal tools into cohesive workflows.</li>
<li>Automate tasks such as data ingestion, preprocessing, enrichment, notifications, triggers, and business logic.</li>
<li>Develop custom API connectors when existing modules do not exist.</li>
<li>Deploy and manage lightweight AI scripts and orchestrate actions via automation platforms.</li>
<li>Implement workflow monitoring, error handling, logging, and version control.</li>
<li>Collaborate with data science and engineering teams to convert model insights into operational automations.</li>
<li>Continuously identify process inefficiencies and deploy scalable automation solutions.</li></ul>
Required Skills &amp; Qualifications<ul>
<li>Bachelors or Masters degree in Computer Science, Data Science, AI, or related field.</li>
<li>2-3+ years of hands-on experience in automation, AI integration, or workflow engineering.</li>
<li>Proven experience with n8n, Make (Integromat), or Zapier.</li>
<li>Strong proficiency in Python, including writing custom API integrations.</li>
<li>Solid understanding of REST APIs, OAuth2, webhooks, and JSON-based data structures.</li>
<li>Familiarity with deploying or integrating AI/ML models via APIs.</li>
<li>Experience with Google Cloud, AWS, or similar environments.</li>
<li>Strong debugging, analytical thinking, and workflow troubleshooting skills.</li><li>
Good understanding of data pipelines, version control (Git), and automation logic.</li></ul>
Nice-to-Have<ul>
<li>Experience building or integrating AI agents, chatbot workflows, or RAG-based systems.</li>
<li>Exposure to Docker, serverless environments, or self-hosted n8n setups.</li>
<li>Knowledge of SQL/NoSQL databases.</li>
<li>Understanding of event-driven systems and scalable automation design.</li>
<li>Experience in business process automation (BPA) or integration engineering.</li></ul></div>

AI Engineer Automation & Workflow Orchestration

Altak Group

Responsibilities<ul><li>Design, build, and deploy complete AI/ML systems from experimentation to production.</li><li>Work with LLMs, neural networks, RAG pipelines, agentic AI frameworks, and scalable data workflows.</li><li>Partner with product and engineering teams to prototype and ship several AI-driven features and products each month.</li><li>Optimize models for performance, scalability, cost efficiency, and real-world constraints.</li><li>Provide production support for deployed models and continuously iterate to improve outcomes.</li><li>Stay ahead of emerging AI technologies and integrate new tools to accelerate development cycles.</li></ul>Qualifications<ul><li>4+ years of hands-on experience in ML engineering or applied data science.</li><li>Strong expertise with LLMs, neural networks, RAG architecture, and agent-based AI systems.</li><li>Solid background in data pipeline engineering, ETL, orchestration, and distributed processing.</li><li>Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.</li><li>Familiarity with modern AI stacks, including LangChain, Hugging Face, vector databases, and related tools.</li><li>Proven experience deploying ML systems in cloud environments such as AWS, Azure, or GCP.</li><li>Strong analytical thinking, problem-solving mindset, and ability to thrive in iterative, high-velocity product cycles.</li><li>Bonus: Experience shipping multiple AI products within short development timelines.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthApplication Question(s):<ul><li>Walk me through the most complex AI/ML system you&rsquo;ve built end-to-end. What problem did it solve, what stack did you use, and what specifically was your contribution?</li><li>Have you deployed an LLM, RAG pipeline, or agentic workflow into production? Describe the architecture, latency constraints, and how you handled scalability or cost optimization.</li><li>Explain a time you optimized a model or data pipeline for performance. What metrics improved and how did you achieve it?</li><li>Tell me about a recent AI framework, tool, or technique you adopted that significantly accelerated your delivery. Why did you choose it and what impact did it have?</li><li>You&rsquo;re tasked with shipping two AI-driven product features in a single month. What&rsquo;s your approach from discovery to deployment?</li><li>How much experience do you have with Rag Structure, LLM's, Vectorization?</li><li>Current salary</li><li>Desired salary</li><li>Notice Period Duration</li><li>Are you availabile for an online session to understand your background better between 10pm to 3am PKT ?</li></ul>Work Location: In person

AI/ML Engineer

Ascend Analytics

<div>
 
 
 About Us:
 
 
 
 
 
 
 
 At Ascend Analytics, we believe data is not just numbers&mdash;it's the heartbeat of innovation! With a mission to transform data into actionable insights, we foster a culture of curiosity, collaboration, and creativity. Imagine working in a place where your ideas are celebrated, your skills grow daily, and your teammates are as fun as they are brilliant.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are looking for an
 
 
 AI Engineer
 
 
 for building agentic AI systems at an enterprise level. This role involves building intelligent agents that can reason, plan, and execute complex tasks autonomously, leveraging LLMs, multi-agent orchestration, and advanced machine learning models. You will work closely with the AI architecture team to design scalable solutions that integrate seamlessly with enterprise workflows.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 
 Architect and implement AI agentic systems with multi-step reasoning, memory, and planning capabilities.
 
 
 
 
 Design and implement semantic retrieval layers, including RAG pipelines, knowledge graphs, and vector-based search.
 
 
 
 
 Integrate LLMs with structured/unstructured enterprise data through semantic orchestration.
 
 
 
 
 Develop and optimize machine learning models (including LLM fine-tuning, embeddings, and task-specific models) for agent decision-making.
 
 
 
 
 Integrate external APIs, vector databases, and enterprise systems into AI workflows.
 
 
 
 
 Lead R&amp;D on orchestration frameworks (LangChain, Haystack, custom orchestrators) for autonomous agents.
 
 
 
 
 Design prompt engineering strategies and knowledge retrieval systems for context-aware responses.
 
 
 
 
 Ensure scalability, security, and compliance for enterprise-grade AI deployments.
 
 
 
 
 Mentor junior engineers and review code for quality and best practices.
 
 
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 
 
 Strong 2+ years of experience in AI/ML frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LlamaIndex.
 
 
 
 
 Deep understanding of LLMs and agent frameworks (OpenAI, Anthropic, Hugging Face Transformers).
 
 
 
 
 Expertise in multi-agent systems, reinforcement learning, and autonomous decision-making.
 
 
 
 
 Strong background in Python, REST APIs, and cloud platforms (AWS, GCP, Azure).
 
 
 
 
 Knowledge of vector databases (Pinecone, Weaviate, FAISS) and knowledge graphs.
 
 
 
 
 Experience with enterprise security and compliance for AI systems.
 
 
 
 
 
 
 
 Nice to Have
 
 
 
 
 Experience with LangGraph, AutoGen, or similar orchestration frameworks.
 
 
 
 
 Background in knowledge retrieval and semantic search.
 
 
 
 
 Contributions to open-source AI projects or research papers in the AI/agentic space.
 
 
 
 
 Immediate availability will be considered an added advantage.&nbsp;
 
 
 
 
 
 
 
 Why Ascend?
 
 
 
 
 Fun &amp; flexibility:
 
 
 Enjoy a hybrid work model, dynamic hours, and an energetic workplace.
 
 
 
 
 Professional growth:
 
 
 Sponsorships for certifications, tech conferences, and personal development.
 
 
 
 
 Vibrant culture:
 
 
 Team outings, brain breaks, and competitions (think
 
 
 game nights
 
 
 ).
 
 
 
 
 Global exposure:
 
 
 Work on meaningful projects with clients spanning industries and continents.
 
 
</div>

AI Engineer (Agentic Systems)

Devsinc

<div>
 We are looking for a Senior Software Engineer (AI/ML) who can design, build, and scale intelligent systems &mdash; from machine learning pipelines to advanced AI agents capable of reasoning, planning, and automation.
 
 
 You will work on building production-grade AI models, integrating LLMs and tools, and designing agent architectures that interact with APIs, databases, and workflows. The role blends applied ML expertise with strong backend engineering and product-focused problem-solving.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
 </li>
 <li>
 Implement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)
 </li>
 <li>
 leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactions
 </li>
 <li>
 Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
 </li>
 <li>
 Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learn
 </li>
 <li>
 Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
 </li>
 <li>
 Build ML pipelines for training, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborate with engineering teams to integrate AI components into backend systems and APIs
 </li>
 <li>
 Ensure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)
 </li>
 <li>
 Contribute to technical architecture and design reviews for AI-driven features and platforms
 </li>
 <li>
 Stay current with the latest in LLMs, agent frameworks, and model architectures
 </li>
 <li>
 Prototype and evaluate new approaches for reasoning, tool use, and adaptive behavior in agents
 </li>
 <li>
 Share learnings and mentor peers in ML and AI development best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong programming skills in Python (mandatory); proficiency with PyTorch,
 </li>
 <li>
 TensorFlow, or transformers-based models
 </li>
 <li>
 Experience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)
 </li>
 <li>
 Strong grasp of ML model lifecycle &mdash; data processing, model training, evaluation, deployment, and monitoring
 </li>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
 </li>
 <li>
 Familiarity with API integrations, microservices, and asynchronous systems
 </li>
 <li>
 Strong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architectures
 </li>
 <li>
 Solid software engineering fundamentals &mdash; testing, version control, and system design
 </li>
 <li>
 Experience with LLM fine-tuning, prompt optimization, or RAG (Retrieval-Augmented Generation) systems
 </li>
 <li>
 Familiarity with multi-agent systems and coordination mechanisms
 </li>
 <li>
 Knowledge of MLOps tools (MLflow, Kubeflow, Sagemaker, Vertex AI)
 </li>
 <li>
 Experience in AI system observability, evaluation metrics, and continuous learning loops
 </li>
 <li>
 Exposure to reinforcement learning or self-improving agent architectures
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch &amp; Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.
</div>

Senior Software Engineer (AI/ML)

Explore 1417+ Ai engineer agentic systems workflow automation in Lahore this December. Find roles across top companies and apply now to boost your career.

1417 ai engineer agentic systems workflow automation jobs IN Lahore

AI Engineer — Agentic Systems & Workflow Automation

Data Scientist

Data Scientist

AI Engineer Automation & Workflow Orchestration

AI/ML Engineer

AI Engineer (Agentic Systems)

Senior Software Engineer (AI/ML)