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ai engineer

Digixvalley LLC

We are looking for a passionate and proactive Junior AI Engineer &ndash; Conversational AI &amp; RAG Systems with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to building intelligent conversational systems, RAG pipelines, and AI-powered customer service automation. You will assist in developing chatbots, managing vector databases, integrating LLMs, and optimizing real-time AI responses.Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

Contegris Pvt Ltd

About ContegrisContegris is a leading SaaS company dedicated to delivering Technology Solutions for a Delightful Customer Experience. Since 2012, weve been empowering over 300 enterprise clients across 20+ industries with our smart and scalable solutions. Our product suite includes an Omni-Channel Contact Center Platform (Intellicon), Helpdesk, Sales CRM, Unified Communication, WhatsApp Business API, and AI-powered self-service tools. With innovation at the core, we strive to enhance how businesses connect with their customers.Job Overview:We are seeking a motivated and detail-oriented AI Engineer to support the development, enhancement, and maintenance of our AI-driven products. The ideal candidate will have a strong foundation in machine learning, LLMs, AI tooling, and modern development practices. They must be able to understand existing codebases, debug issues, implement new features, and collaborate with the team to improve our AI systems. This role requires the ability to work with AI coding assistants (e.g., Claude), but with a solid understanding of the underlying logic, architecture, and algorithms to ensure code quality and maintainability.Key Responsibilities:<ul><li>Develop new features for our AI products across multiple modules and components.</li><li>Understand the architecture, workflows, and logic behind existing AI systems.</li><li>Debug issues, investigate model behavior, and provide support for already deployed AI features.</li><li>Enhance and improve existing AI functionalities to increase performance, accuracy, and scalability.</li><li>Use Claude as a development assistant while maintaining complete ownership and understanding of all produced code.</li><li>Integrate and fine-tune LLMs and AI tools based on product needs.</li><li>Collaborate with Product, QA, and Development teams to deliver high-quality releases.</li><li>Write clean, efficient, and well-documented code following engineering best practices.</li><li>Stay updated with the latest AI tools, frameworks, models, and industry trends.</li></ul>Qualification<ul><li>Strong foundational knowledge of Machine Learning, NLP, and LLM (Large Language Model) concepts.</li><li>1-2 years of experince working as AI Engineer</li><li>Hands-on experience with Python and common AI/ML libraries (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).</li><li>Understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and embeddings.</li><li>Ability to work with APIs (OpenAI, Anthropic Claude, Google GenAI, etc.).</li><li>Solid debugging and problem-solving skills for AI applications.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.</li><li>Understanding of version control (Git) and CI/CD workflows.</li><li>Ability to read, understand, and refactor code written with AI assistance tools.</li></ul>Preferred Tools &amp; Technologies<ul><li>LLMs &amp; AI Platforms: Claude, OpenAI GPT, HuggingFace, Google Vertex AI</li><li>Vector Databases: Pinecone, Weaviate, Milvus, Qdrant</li><li>Frameworks &amp; Libraries: LangChain, LlamaIndex, Transformers</li><li>ML Tools: Jupyter, Pandas, NumPy, Scikit-learn</li><li>DevOps &amp; Deployment: Docker, Linux basics, NGINX, FastAPI/Flask</li><li>Other Tools: Redis, MongoDB, ElasticSearch (optional)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary </li></ul>Work Location: In person

MH Consultants

About us:Sumato Solutions is a full&#8209;stack digital&#8209;solutions provider offering custom software, web/mobile apps, AI/ML, cloud services, and more. They aim to deliver scalable and innovative digital solutions to clients globally. They emphasize a culture of teamwork, transparency, professionalism, and growth &mdash; giving employees room to learn and collaborate across various technologies.Key Responsibilities:&middot; Design, implement, and optimize machine learning / AI models to solve business and client problems.&middot; Work with cross&#8209;functional teams (backend, frontend, UI/UX, product managers) to integrate AI/ML capabilities into web/mobile applications.&middot; Preprocess and analyse data; build data pipelines if required; manage data inputs and outputs.&middot; Ensure scalability, reliability, and performance of AI/ML solutions in production environments.&middot; Stay updated on latest AI/ML research and practices and apply new algorithms/techniques as needed.&middot; Collaborate in code reviews, documentation, and maintenance of deployed models/systems.&middot; Collaborate work closely with data engineers, product managers, and developers to translate business needs into AI- driven solutions.Requirements:&middot; Minimum 1 or 1.5 years of hands-on experience in AI Engineer .&middot; Strong programming skills in Python; familiarity with Java, C++, or R is a bonus.&middot; Experience with AI/ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, etc.&middot; Ability to analyze large datasets and extract meaningful insights.&middot; Willingness to learn and adapt to emerging AI/ML technologies.&middot; Understanding of MLOps practices, version control (Git), and containerization (Docker/Kubernetes).Qualifications / Required Skills:&middot; Bachelor&rsquo;s (or higher) degree in Computer Science, Data Science, AI/ML, or relevant field.<ul><li>Proficiency in AI/ML frameworks and languages (e.g., Python, TensorFlow, PyTorch, scikit&#8209;learn, etc.).</li><li>Solid understanding of machine learning algorithms, data handling, model training, evaluation, and deployment.</li><li>Familiarity with web/mobile application development and APIs (so AI models can integrate into larger systems).</li><li>Strong problem&#8209;solving skills, analytical mindset, and ability to work in a team environment.</li><li>Good communication skills; ability to collaborate across teams (development, design, product).</li></ul>We Offer&middot; Competitive salary &amp; performance bonuses.&middot; Growth-oriented environment with mentorship&middot; Opportunity to work on high-impact projects&middot; Flexible working arrangements&middot; Continuous learning and upskilling opportunitiesHow to Apply&middot; Send your resume, portfolio/case studies, and relevant campaign results to: careers@sumatosolutions.comSubject Line: Performance Marketer &ndash; ApplicationJob Type: Full-timeWork Location: In person

Devfum

Job description:About Devfum Devfum is a forward-thinking technology company focused on delivering web development, AI, and extended reality (XR) solutions that redefine industries. We specialize in creating innovative digital experiences, from immersive metaverse platforms to AI-powered applications, helping businesses drive growth and efficiency. We foster a collaborative environment where top talent can thrive. At Devfum, you&rsquo;ll work on cutting-edge technologies, contribute to impactful projects, and enjoy opportunities for continuous learning and career growth. Join us and be part of a team that&rsquo;s shaping the future of digital innovation. Vision: &ldquo;To be the world&rsquo;s pioneering digital experience provider&rdquo;. Why Join Devfum? We offer an environment that fosters growth, learning, and work-life balance, ensuring that our employees feel valued and motivated.<ul><li>Bi-Annual Salary Increments: Recognizing your contributions regularly.</li><li>Clear Career Growth Roadmap: Helping you achieve your professional goals.</li><li>Continuous Learning: Access to paid courses to enhance your skills.</li><li>Daily Lunch &amp; Tea: Enjoy complimentary meals and refreshments.</li><li>Monthly Sports Activities: Stay active and refreshed with sports and fun team events.</li></ul>Key Responsibilities <ul><li>Design, build, and deploy Agentic AI systems using LangGraph, LangChain, and modern LLM tooling to address real business problems.</li><li>Own key parts of the data science lifecycle, including data exploration, modeling, evaluation, deployment, and ongoing improvements.</li><li>Implement and maintain production-ready ML pipelines, including data ingestion, preprocessing, feature engineering, and model monitoring.</li><li>Develop scalable backend services and APIs using Python frameworks such as Django, FastAPI, or Flask.</li><li>Design and manage efficient data storage solutions using Redis, PostgreSQL, and MongoDB.</li><li>Work with cloud platforms&mdash;preferably AWS&mdash;to deploy and scale data and AI workloads.</li><li>Build and maintain CI/CD pipelines, manage containerization (Docker), and ensure smooth deployment through Git/GitHub workflows.</li><li>Collaborate closely with product, engineering, and design teams to integrate AI agents into web apps and enterprise systems.</li><li>Research, evaluate, and implement new tools and techniques to improve performance, reliability, and development speed.</li></ul>Required Qualifications <ul><li>2+ years of hands-on experience building and deploying AI/ML systems, including LLM applications, traditional ML models, and deep learning solutions.</li><li>Must share production-grade project examples or portfolio links.</li><li>Technical Expertise:</li><li>Strong proficiency in Python and core data science libraries.</li><li>Agentic Frameworks:</li><li>Practical experience with LangChain and LangGraph; familiarity with Hugging Face tools is a plus.</li><li>Backend Skills:</li><li>Solid experience with one or more Python frameworks (Django, FastAPI, or Flask).</li><li>Databases:</li><li>Hands-on experience with Redis, PostgreSQL, and MongoDB.</li><li>Version Control:</li><li>Proficiency with Git and GitHub.</li><li>Cloud Knowledge:</li><li>Working knowledge of AWS or an equivalent cloud platform.</li><li>Collaboration:</li><li>Ability to work within cross-functional teams and contribute to architecture discussions.</li><li>Education:</li><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related technical field.</li></ul>Work Schedule Timings: 12:00 PM &ndash; 9:00 PM, Monday to Friday Salary Range: PKR 110,000 &ndash; PKR 135,000Job Type: Full-timePay: Rs110,000.00 - Rs135,000.00 per monthApplication Question(s):<ul><li>Kindly share your GitHub profile link</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer : 2 years (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

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

92Techno

We are seeking a highly skilled Senior AI Engineer in Lahore to lead the data and AI foundations that will drive our next phase of innovation. This role is ideal for someone who thrives in building scalable AI systems, shaping enterprise strategies, and delivering impactful AI solutions across the organization.Key Responsibilities<ul><li>Define and implement the enterprise data strategy to enable AI at scale.</li><li>Design and build scalable data platforms and pipelines (batch and streaming).</li><li>Develop, deploy, and optimize ML/AI and LLM-based solutions.</li><li>Establish frameworks for data governance, lineage, quality, security, and responsible AI.</li><li>Collaborate with business teams to identify and deliver high-value AI use cases.</li><li>Advocate and promote data, AI, and engineering best practices across the organization.</li></ul>Requirements<ul><li>6&ndash;10+ years of experience in Data Engineering, ML Engineering, or AI Engineering.</li><li>Strong proficiency in Python, SQL, and major cloud platforms (AWS, Azure, or GCP).</li><li>Experience working with Spark, feature stores, and Lakehouse architectures.</li><li>Hands-on expertise in LLMs, vector databases, and RAG pipelines.</li><li>Solid understanding of data governance, data security, DevOps/MLOps, and enterprise data frameworks.</li></ul>Job Type: Full-timePay: Rs450,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>Do you have 6+ years of experience in Data Engineering, ML Engineering, or AI Engineering?</li></ul>Work Location: In person

Senior AI Engineer

Devsinc

<div>
 Devsinc is on the lookout for a talented
 
 Software AI Engineer
 
 to join our innovative team. In this role, you will be responsible for designing, developing, and deploying AI models and machine learning algorithms that enhance our software products and services. You will collaborate with cross-functional teams to integrate AI solutions into applications, driving efficiencies and improving user experiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement AI and machine learning models to solve complex problems
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
 </li>
 <li>
 Analyze large datasets to discover patterns, trends, and insights that can drive business decisions
 </li>
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 Optimize and improve existing machine learning algorithms to enhance their performance
 </li>
 <li>
 Stay up to date with the latest advancements in AI technologies and implement best practices
 </li>
 <li>
 Participate in code reviews and contribute to the development of software standards and guidelines
 </li>
 <li>
 Communicate effectively with technical and non-technical stakeholders to explain AI concepts and technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 2+ years of experience in software engineering with a strong focus on AI and machine learning
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 Proficiency in programming languages such as Python, Java, or R
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 Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
 </li>
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 Solid understanding of algorithms, data structures, and statistical analysis
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 Experience with data processing tools and big data technologies (e.g., Hadoop, Spark)
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 Strong analytical and problem-solving skills, with attention to detail
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 Excellent communication skills and ability to work collaboratively in a team environment
 </li>
 <li>
 Knowledge of cloud services (AWS, Azure, GCP) for deploying AI models is a plus
 </li>
 </ul>
</div>

Software AI Engineer

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