ai/ml engineer

software engineer

ai engineer

autocad engineer

junior ai/ml engineer

ai engineer agentic systems

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)

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

GTechSources

We are seeking an experienced AI / Machine Learning Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions.Key Responsibilities:<ul><li>Develop end-to-end machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment</li><li>Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA</li><li>Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries</li><li>Develop and optimize advanced deep learning models for both NLP and Computer Vision, leveraging transformer-based architectures for tasks like text classification, named entity &emsp;&emsp;recognition, image segmentation, and object detection.</li><li>Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets</li><li>Implement appropriate ML/DL models and algorithms to address business-specific challenges</li><li>Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements</li><li>Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process</li><li>Manage deployment pipelines, ensuring seamless integration of ML models with production systems</li><li>Drive performance optimization for models and systems, including hyper parameter tuning and retraining strategies.</li></ul>Requirements:Education: <ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related fields</li></ul>Experience:<ul><li>Minimum 3 years of professional experience in machine learning/AI</li><li>Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment</li></ul>Technical Skills:<ul><li>Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc</li><li>Expertise in LangChain, Pinecone, Chromadb, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval</li><li>Strong experience with modern deep learning architectures, including CNNs, RNNs, Transformers (BERT, ViTs, GPT), GANs, Diffusion Models, and GNNs for diverse AI applications.</li><li>Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure)</li><li>Solid knowledge of data preprocessing, augmentation, and feature engineering techniques</li><li>Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes)</li></ul>Soft Skills:<ul><li>Strong problem-solving skills with an analytical mindset</li><li>Excellent communication and ability to work collaboratively in a team environment</li></ul>Why Join Us:<ul><li>Work on cutting-edge projects that push the boundaries of AI and ML</li><li>Build AI solutions that solve real-world problems and help businesses become efficient and grow</li><li>Collaborate with a team passionate about innovation and growth</li><li>Access to the latest tools, technologies, and resources for professional development</li><li>Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Weekends off (Saturday and Sunday)</li><li>22 paid holidays</li><li>Medical reimbursement</li><li>Probationary and annual increments</li><li>Opportunities for professional growth and development</li><li>A collaborative and innovative work environment</li></ul>Working Hours:<ul><li>12:00 PM &ndash; 9:00 PM</li></ul>We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current salary?</li><li>What is your salary expectation?</li><li>Please note that this is an onsite position, and our standard operating hours are from 12 PM to 9 PM, Monday to Friday. Are you available and willing to work during these hours?</li></ul>Experience:<ul><li>AI/ML engineering: 3 years (Required)</li><li>FastAPI: 3 years (Required)</li><li>Python: 3 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML Engineer with FastAPI Experience (3+ Years Required)

The Hassol

About us:We are an AI-driven workforce optimization platform helping hospitals reduce labor costs and make better staffing decisions. Our AI system interprets KPIs, identifies root causes, predicts staffing needs, and guides hospital leaders with clear, data-driven recommendations.We currently have deployments across 16 hospitals with strong traction and ongoing discussions with 100+ more. With early models built for demand forecasting, staffing logic, agentic reasoning, and healthcare data pipelines, we are now moving toward building our full alpha product.Role OverviewWe are hiring a Principal AI Engineer to lead architecture, development, and technical strategy for our AI-powered healthcare operations platform.This is a hands-on, high-ownership role where you will work directly with the co-founders and shape the platform from the ground up.This position offers a clear path toward a future CTO or VP Engineering role.Compensation StructureMilestone-based hourly compensationMilestones co-defined (deliverables, integrations, models, features)Equity package (4-year or milestone-based vesting)Strong long-term growth and ownership potentialKey ResponsibilitiesTechnical Strategy &amp; ArchitectureOwn system architecture, technical roadmap, and engineering directionConvert business &amp; data requirements into scalable technical plansArchitect data pipelines, AI agents, integrations, and core servicesHands-On EngineeringBuild backend services, APIs, microservices, and internal toolsDevelop LLM-based agents, RAG pipelines, vector stores, and reasoning workflowsOptimize data workflows, automation, and system performanceTeam LeadershipMentor and guide engineers as the team growsSet coding standards, review processes, and best practicesLead sprint planning, architecture sessions, and milestone executionData Engineering &amp; IntegrationsBuild and manage ingestion workflows (APIs, SFTP, FHIR/HL7, CSV/Excel)Design scalable SQL models and transformation layersIntegrate with EHRs, WFM systems, and hospital operational toolsCross-Functional CollaborationWork closely with co-founders, product teams, and healthcare SMEsConvert hospital workflows (staffing, scheduling, demand forecasting) into engineering logicJoin product discussions, customer calls, and early deploymentsRequired Skills &amp; Experience7+ years in software engineering (backend, full-stack, or data)Experience leading or managing engineersStrong hands-on expertise in Python, TypeScript/JavaScript, SQLDeep experience with cloud infrastructure (Azure preferred)Proven experience building LLM features, RAG, agents, or similar AI systemsPrior architecture experience in startups or complex data environmentsStrong ownership mentality and ability to operate independentlyPreferred SkillsExperience with healthcare data, EHRs, and hospital systemsFamiliarity with HL7, FHIR, secure healthcare APIsExperience with agent frameworks, orchestration tools, vector DBsPrior early-stage or founding engineer experienceExposure to HIPAA, SOC 2, or secure data environmentsWho You AreA strategic thinker and hands-on engineerComfortable with ambiguity and fast-paced environmentsAble to scope work, define milestones, and execute efficientlyMission-driven and passionate about improving healthcare operationsWhy Join UsLead engineering for a category-defining AI healthcare platformInfluence every major technical decision from the beginningMilestone-based flexibility + meaningful equityDirect access to founders and hospital systemsClear growth path into a CTO-level roleJob Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

PRINCIPAL AI ENGINEER

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

Sprouto Group

High-Ticket Tech Sales Executive &ndash; UK &amp; US MarketsLocation: DHA Phase 8, Lahore (On-Site) Base Salary: 50,000 PKR - 60,000 PKR OTE (On-Target Earnings): Up to 400,000 PKR (Uncapped Commission)Are you a Hunter?Sprouto is not your typical agency. We are a premier AI &amp; Software Development Partner helping businesses in London, Texas, and Silicon Valley scale their engineering and creative capabilities.We provide Staff Augmentation and our exclusive One by Sprouto subscription plans. We don't just sell code; we sell the team that builds the future.We are looking for hungry, articulate, and commercially aggressive Sales Executives to join our Lahore HQ. If you can speak the language of tech founders and have a relentless drive to close high-value deals, this is your arena.The OpportunityYou will be pitching two massive value streams to CTOs, Tech Founders, and Creative Directors in the UK and US:<ul><li>Staff Augmentation: Access to elite AI engineers and software developers without the recruitment headache.</li><li>One by Sprouto Plans: Our premium subscription packages for Web Development, Agentic AI Solutions, and Design with Animation.</li></ul>This is not a customer support role. This is a Consultative Sales role for high-end tech and creative solutions.<ul><li>The Base: Secure 50k PKR monthly just for showing up and putting in the graft.</li><li>The Gold: Realistic OTE of 400k PKR. Our commission structure is designed for high performers who want to write their own paycheque.</li><li>The Product: You are selling scalability&mdash;whether it's a full dev squad or a recurring creative subscription (Web, Agentic, Animation).</li></ul>What You&rsquo;ll Be Doing<ul><li>Prospecting: Identifying tech companies and startups in need of scaling their dev teams or upgrading their digital presence in the UK/US.</li><li>Pitching: Presenting One by Sprouto Plans (Web, Agentic, Design) and Staff Augmentation models. You&rsquo;ll explain why our subscription model beats traditional hiring hands down.</li><li>Closing: Negotiating contracts for dedicated squads or creative retainers and turning &quot;we're freezing hiring&quot; into &quot;when can they start?&quot;.</li><li>Managing: Building a robust pipeline of qualified leads and smashing monthly recurring revenue (MRR) targets.</li></ul>What We Need From You<ul><li>Impeccable English: You must sound like you belong in a boardroom in Canary Wharf or a Zoom call in San Francisco. No scripts, just intelligent, consultative conversation.</li><li>Sales DNA: You don't take &quot;no&quot; for an answer; you take it as a challenge. You understand urgency, value propositions, and closing techniques.</li><li>KPI Driven &amp; Competitive: We are a KPI-driven and monitored environment&mdash;not to micromanage, but to gamify your growth. We track every win to ensure you&rsquo;re always moving closer to that max OTE. If you love chasing high scores and clear targets, you'll fit right in.</li><li>Tech &amp; Creative Savvy: You don't need to be a coder, but you need to understand the value of AI, Web Agents, and Motion Design to sell it effectively.</li><li>The Hunger: You are money-motivated and ambitious. You want that 400k paycheck.</li></ul>Why Sprouto?<ul><li>The Future of Work: You are selling solutions that solve the biggest problems in tech: finding good talent and automating workflows with Agentic AI.</li><li>Vibrant Office Culture: Modern office in DHA Phase 8, fast-paced environment, and a team that celebrates wins.</li><li>Career Progression: We promote from within. Smash your targets, and you'll be leading a sales pod in no time.</li></ul>Ready to dominate?If you&rsquo;re tired of selling commodities and want to sell high-value tech and creative solutions, we want to talk.Job Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthWork Location: In person

High-Ticket Tech Sales Executive – UK & US Markets

INTECH Automation & Intelligence

<div>
 
 About The Job
 
 
 
 Join our Team - Your career journey starts here &ndash; not just a job, but a future.
 
 
 
 Our Potential Opportunity
 
 
 
 INTECH Process Automation Inc. is seeking
 
 Senior AI Engineer
 
 to join our growing Industrial Intelligence Solutions (IIS) division. This role is central to building next-generation IIoT, data, and industrial AI applications that support industries such as Oil &amp; Gas, Manufacturing, Chemicals, Food &amp; Beverages, and Metals &amp; Mining. At INTECH, you will work on impactful projects, developing intelligent software solutions that utilize real-time operational data, advanced analytics, and cutting-edge Generative AI to solve complex industrial challenges. These AI-powered tools are crafted to enhance productivity, improve decision-making processes, and foster an environment of efficiency and innovation in the workplace.
 
 
 
 What You&rsquo;ll Lead And Deliver
 
 
 
 <ul>
 <li>
 Define the end-to-end AI roadmap and steer long-term technical decisions.
 </li>
 <li>
 Drive model architecture, experimentation, and evaluation strategies based on current research trends.
 </li>
 <li>
 Guide the transition from research prototypes to production-hardened enterprise AI systems.
 </li>
 <li>
 Introduce methodologies to ensure reliability, trustworthiness, and explainability in AI systems.
 </li>
 <li>
 Architect and optimize LLM-based solutions, including RAG pipelines, agentic workflows, and custom tooling.
 </li>
 <li>
 Evaluate, fine-tune, and integrate state-of-the-art models (open-source and proprietary).
 </li>
 <li>
 Lead advanced experimentation: model distillation, hybrid search strategies, prompt optimization, hallucination detection, etc.
 </li>
 <li>
 Build frameworks for automatic evaluation, versioning, and safe deployment of large-scale AI systems.
 </li>
 <li>
 Address and solve typical enterprise GenAI challenges such as: Data security, governance, and privacy controls,Hallucination reduction and factual grounding,Latency optimization and inference throughput,High-availability and scalable serving architectures,Multi-model routing, caching, and cost efficiency,Observability, monitoring, and auditability of LLM workflows
 </li>
 <li>
 Collaborate with DevOps and platform engineering to achieve production-grade reliability, logging, and SLA-backed performance.
 </li>
 <li>
 Work closely with product teams to shape features and AI-driven value propositions.
 </li>
 <li>
 Assess enterprise workflows and identify AI-led automation or augmentation opportunities.
 </li>
 <li>
 Communicate complex AI concepts to stakeholders in clear, business-oriented language.
 </li>
 <li>
 Mentor engineers and establish internal AI engineering standards and best practices.
 
 
 </li>
 </ul>
 Requirements:
 
 
 
 To Be Successful in This Role, You Must Have:
 
 
 
 <ul>
 <li>
 PhD in Computer Science, Machine Learning, NLP, AI, Data Science, or a closely related field.
 </li>
 <li>
 Demonstrated applied research background with publications, patents, or real-world AI deployments.
 </li>
 <li>
 5 &ndash; 10 years of experience in AI/ML engineering or related fields.
 </li>
 <li>
 Expert-level Python skills and proficiency in modern ML/AI frameworks.
 </li>
 <li>
 Deep understanding of: Large language models, embeddings, vector search ,
 </li>
 <li>
 Deep understanding of: AG architectures and LLM orchestration frameworks (LangChain, LlamaIndex, custom stacks)
 </li>
 <li>
 Deep understanding of: Prompt engineering and evaluation methodologies
 </li>
 <li>
 Deep understanding of: Distributed systems, microservices, and cloud-native implementations
 </li>
 <li>
 Production experience deploying AI systems in enterprise or regulated environments.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Experience with GPU/accelerator-based model serving.
 </li>
 <li>
 Experience with MLOps tooling (MLFlow, Vertex AI, AWS Sagemaker, etc.).
 </li>
 <li>
 Contributions to open-source GenAI libraries, research toolkits, or LLM frameworks.
 </li>
 <li>
 Prior work in enterprise or Fortune 500 environments.
 </li>
 <li>
 Strong understanding of knowledge graphs, structured data pipelines, and hybrid search systems.
 
 
 </li>
 </ul>
 
 We Offer Competitive Benefits:
 
 
 
 <ul>
 <li>
 Global Exposure: Opportunities to work on international projects and collaborate with global teams.
 </li>
 <li>
 Competitive Compensation in USD : A salary package that recognizes your expertise and contributions.
 </li>
 <li>
 Annual Bonus in USD: Performance-driven rewards based on your gross pay to celebrate your achievements and contributions.
 </li>
 <li>
 In-House Lunch: Delicious meals provided during work hours to keep you fueled and focused.
 </li>
 <li>
 Health Insurance: OPD coverage for you and your parents, plus IPD coverage for you and your dependents.
 </li>
 <li>
 Learning Opportunities: Access to training programs, workshops, and certifications to enhance your skills.
 </li>
 <li>
 Work-Life Balance: Paid time off, including annual leave and holidays.
 </li>
 <li>
 Inclusive Environment: A workplace that celebrates diversity and fosters collaboration.
 
 
 </li>
 </ul>
 
 ﻿Why Join INTECH Automation Intelligence?
 
 
 
 At INTECH, you will have the opportunity to work with a globally renowned industrial automation and digitalization technology company. For nearly 30 years, INTECH has partnered with major oil and gas global giants to deliver innovative solutions. As we continue to lead in the Industry 4.0 era, you will be at the forefront of transformative technologies that solve real-world challenges.
 
 
 
 What to Expect After Applying?
 
 
 
 Explore how INTECH&rsquo;s Talent Acquisition team ensures a seamless hiring journey. From embracing talent with a passion for innovation to fostering a culture of continuous learning and growth, we&rsquo;re dedicated to finding and supporting the best minds in the industry.
 
 
 Click Here to learn more about our hiring process and discover your path to success with us.
 
 
 Our hiring process is designed to assess your skills and potential in a fair and inclusive manner. After applying, you will be guided through a structured evaluation process to ensure mutual alignment.
 
 
 
 INTECH Automation Intelligence is proud to be an Equal Opportunity Employer.
 
 We celebrate diversity and are committed to creating an inclusive environment for all employees.
</div>

Senior AI Engineer/GenAI Product Lead

Explore 1127+ Ai engineer agentic systems in Lahore this December. Find roles across top companies and apply now to boost your career.