agentic ai engineer

Cinnova International

Job Overview:Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.Key Responsibilities:Agentic AI Development <ul><li>Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.</li><li>Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.</li><li>Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.</li><li>Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost. AI and ML Engineering</li><li>Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.</li><li>Configure and deploy inference endpoints using AWS Sagemaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.</li><li>Manage model versioning, monitoring, experiment tracking, and data pipelines.</li></ul>Automation and Integration<ul><li>Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.</li><li>Create reusable components for agent invocation, memory management, prompt templates, and decision trees.</li><li>Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution. Quality, Testing, and Reliability</li><li>Conduct stress testing, fallback logic design, and scenario validation for agentic systems.</li><li>Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.</li></ul>Required Qualifications: <ul><li>3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.</li><li>Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.</li><li>Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.</li><li>Familiarity with open-source ML tools: Kubeflow, MLflow, Ray, or similar.</li><li>Experience working with AWS, Azure, or GCP for deploying AI workloads.</li><li>Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.</li><li>Strong skills in Python or JavaScript for implementing agent logic.</li></ul>Perks and Benefits:<ul><li>Competitive Salary</li><li>Provident Fund and Medical Allowances</li><li>Professional Training and Certifications</li><li>Paid Time Off</li><li>Semi-Annual Performance Bonus and Awards</li><li>Hajj/Umrah Leaves</li><li>Maternity/Paternity Leaves</li><li>Wedding Leaves</li><li>Long Service Bonus and Awards</li><li>Friday Lunch</li><li>Company Sports, Game Nights, Dinners</li><li>Fun and Dynamic Working Environment</li></ul>About Cinnova:Cinnova is an innovation-focused software development company helping startups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we have always been at the forefront of the technology landscape by bringing innovation to both startups and growth companies.Cinnova = (C)reativity + (innova)tion. This is our guiding principal both internally for our employees and externally for our customers. With that in mind, we promote a startup culture and encourage innovative ideas to incorporate in our delivery to our clients. This has been very successful as we are proud to have members who come from a startup background and continue to help Cinnova being an innovation hub.Job Type: Full-timeWork Location: In person

Agentic AI Engineer

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

YrFW1AObcG</div>

Sr. AWS AI Engineer

Business Solutions & Services (BSS) - USA

<div>
 
 Role Overview:
 
 
 
 We are looking for a mid-level AI / Machine Learning Developer to design, develop, and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data, building predictive and intelligent models, and collaborating closely with product, data, and engineering teams to translate business problems into scalable AI solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 AI / ML Development:
 
 
 
 <ul>
 <li>
 Design, develop, train, and evaluate machine learning models for real-world business use cases
 </li>
 <li>
 Implement supervised and unsupervised learning techniques (classification, regression, clustering, anomaly detection, recommendation and more)
 </li>
 <li>
 Demonstrate strong understanding of statistical and machine learning models, and their practical application using Python libraries such as scikit-learn, stats models, NumPy, and pandas for real-world data analysis and predictive modeling
 
 
 
 </li>
 </ul>
 
 Data Handling &amp; Preparation:
 
 
 
 <ul>
 <li>
 Work with structured and semi-structured data from databases, APIs, and files
 </li>
 <li>
 Perform data cleaning, preprocessing, feature extraction, and transformation
 </li>
 <li>
 Collaborate with data engineers on data pipelines when required
 
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Integration:
 
 
 
 <ul>
 <li>
 Deploy ML models into production environments (APIs, services, batch jobs)
 </li>
 <li>
 Integrate ML models with web applications, backend systems, or enterprise platforms
 </li>
 <li>
 Support model monitoring, retraining, and performance tuning
 
 
 
 </li>
 </ul>
 
 Agentic AI systems (Nice to Have)
 
 :
 
 
 <ul>
 <li>
 Familiarity with agentic AI frameworks such as LangChain Agents, AutoGen, and CrewAI for orchestrating tool usage, decision-making, and multi-step workflow automation
 </li>
 <li>
 Understanding of prompt management, execution controls, logging, and human-in-the-loop validation, including concepts related to agent safety, control, and observability
 
 
 
 </li>
 </ul>
 
 Collaboration &amp; Delivery:
 
 
 
 <ul>
 <li>
 Work closely with product managers, business analysts, and domain experts
 </li>
 <li>
 Participate in solution design discussions and technical reviews
 </li>
 <li>
 Document models, assumptions, and technical decisions clearly
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with Pandas and NumPy
 </li>
 <li>
 Understanding of core ML concepts and evaluation metrics
 </li>
 <li>
 Experience exposing ML models via REST APIs (FastAPI / Flask)
 </li>
 <li>
 Nice to Have:
 </li>
 <li>
 Exposure to NLP, computer vision, or time-series modeling
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Basic understanding of MLOps practices
 </li>
 <li>
 Experience working in enterprise or consulting environments
 </li>
 <li>
 Experience: 3-5 years Hands-On Industry Experience
 </li>
 <li>
 Education: BS Computer Science or Equivalent
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good communication and documentation abilities
 </li>
 <li>
 Ability to work across multiple projects
 
 </li>
 </ul>
</div>

AI / ML Engineer

Fusion Cortex

AI Engineering Intern (Path to Full-Time)Location: Johar Town LahoreDuration: 3-Month Paid InternshipMentorship: Direct access to Industry AI GurusThe OpportunityWe aren&rsquo;t looking for traditional developers; we are looking for AI-native engineers. As an intern on our team, you won&rsquo;t be fetching coffee, you&rsquo;ll be prototyping new features, debugging LLM outputs, and building next-gen products for our high-profile US client portfolio.You will work alongside seasoned AI experts who have a track record of building complex, scalable systems. If you are a final-semester student or a fresh graduate with a &quot;builder&quot; mindset, this is your playground.About Fusion Cortex: The Intelligence Hub of RUSH CorpFusion Cortex is the specialized AI &amp; Advanced Engineering arm of RUSH Corporation. While RUSH Corp provides the stable, global infrastructure and a legacy of excellence, Fusion Cortex is where we break things, build them back better, and redefine what&rsquo;s possible with Generative AI.As part of the Fusion Cortex team, you aren&rsquo;t just a &quot;cog in the machine.&quot; You are part of an elite, cross-functional &quot;fusion team&quot; designed to bridge the gap between complex data and human-centric products.Why Join the &quot;Cortex&quot;?<ul><li>The RUSH Advantage: Enjoy the backing, security, and prestige of RUSH Corporation while working in the agile, fast-paced environment of a startup-style AI lab.</li><li>Agentic Future: We don't just build chatbots. At Fusion Cortex, we are focused on Agentic AI&mdash;creating autonomous systems that can reason, execute workflows (via tools like Cursor/Composer), and solve real-world problems for our US partners.</li><li>Guru-Led Culture: Our leadership consists of &quot;Industry Gurus&quot; who have spent decades at the intersection of technology and business. You will be mentored by the same minds that architected RUSH Corp&rsquo;s most successful gen-product portfolios.</li><li>Global Impact, Local Growth: You&rsquo;ll be working on products that land directly in the hands of US-based executives and tech innovators, giving you a resume that stands out globally from Day 1.</li></ul>&quot;At Fusion Cortex, we believe the best code is the code that thinks. We are looking for the next generation of engineers who want to move beyond syntax and start building intelligence.&rdquo;Your Toolkit &amp; Responsibilities<ul><li>AI-Assisted Development: You will leverage Cursor, Claude, Loveable and other AI IDEs to accelerate development, utilizing codebase indexing and composer modes to maintain high velocity.</li><li>Prototyping &amp; Building: Assist in the rapid prototyping of new AI features and products.</li><li>LLM Refinement: Debug LLM outputs and engage in advanced prompt engineering to ensure high-quality, reliable AI responses.</li><li>Client Collaboration: Participate in meetings with US-based clients, translating technical progress into clear communication.</li><li>The Tech Stack: Deep dive into Python, AI/ML frameworks, and cutting-edge generative AI technologies.</li></ul>Who You Are<ul><li>Fresh Graduate / Final Semester Student: Pursuing or recently completed a degree in Software Engineering or a related field.</li><li>AI-Native Developer: You have a hands-on or deep understanding of AI-assisted workflows (Cursor, Claude, Loveable etc.).</li><li>Python Savvy: Strong foundational knowledge in Python coding and a solid grasp of AI/ML concepts.</li><li>Communication Pro: You can explain complex logic clearly and enjoy collaborating with international stakeholders.</li><li>The &quot;Growth&quot; Mindset: You don't just wait for instructions; you are passionate about learning and have a &quot;let&rsquo;s solve this&quot; attitude.</li></ul>What&rsquo;s In It For You?<ul><li>Competitive Monthly Stipend: A paid internship that recognizes your talent.</li><li>Career Fast-Track: High performance leads to a Full-Time Employment (FTE) offer after 3 months.</li><li>Guru Mentorship: Regular 1-on-1 exposure to technology leaders.</li><li>Global Impact: Work on a next-gen product portfolio used by clients in the US market.</li></ul>How to Apply (The &quot;Easter Egg&quot; Challenge)To ensure you have the &quot;Attention to Detail&quot; we need:<ul><li>Send your Resume to hr@fusioncortex.com.</li><li>In your email body or cover note, include a 3-sentence explanation of a complex coding concept (e.g., Recursion or Decorators) that you have simplified using an AI tool.</li></ul>Job Types: Full-time, InternshipPay: Rs25,000.00 - Rs30,000.00 per monthWork Location: In person

AI Engineering Intern

CodeNinja

About the Company: 
CodeNinja is a global AI and software engineering firm that helps organizations build, scale, and operate intelligent digital solutions. With a strong focus on AI, data platforms, and cloud-native systems, CodeNinja partners with enterprises to deliver high-impact technology outcomes across industries. The company operates across multiple regions, working with global clients to solve complex business problems through innovation and engineering excellence.
 
Role Overview: 
CodeNinja is seeking a Business Analyst to support presales and engineering teams through effective requirements discovery, analysis, and documentation. The role focuses on translating prospective client needs into clear functional and technical requirements that enable proposal development, solution design, and delivery — including AI and data-driven solutions.
 
Key Responsibilities: 
Presales & Requirements Discovery: 
<ul>
<li>Lead requirements discovery sessions with prospective clients.</li>
<li>Conduct workshops and interviews to identify business goals, functional and non-functional requirements, data and AI needs, assumptions, risks, and dependencies.</li>
<li>Document requirements clearly to support solutioning, estimation, and AI feasibility.</li>
</ul>
Documentation & Engineering Enablement: 
<ul>
<li>Convert requirements into functional specifications, user stories, acceptance criteria, and high-level process/data flows.</li>
<li>Maintain engineering-ready documentation and clarify requirements with engineering and AI teams.</li>
</ul>
Presales & Proposal Support: 
<ul>
<li>Support proposal development, RFP/RFI responses, scope definition, and assumptions.</li>
<li>Ensure proposals are based on validated requirements, including AI scope and data dependencies.</li>
</ul>
POC / Prototype Support: 
<ul>
<li>Support AI and digital POCs by defining scope, success criteria, and validating AI use cases (e.g., RAG feasibility, agent behavior).</li>
<li>Prepare client-facing POC documentation.</li>
</ul>
Jira & Backlog Management: 
<ul>
<li>Create and maintain Jira epics, user stories, and tasks.</li>
<li>Ensure end-to-end traceability from discovery to development.</li>
</ul>
Cross-Functional Collaboration: 
<ul>
<li>Act as a liaison between presales, engineering, AI/data teams, and clients.</li>
<li>Ensure smooth handover from presales to delivery.</li>
</ul>
Requirements: 
Required Skills & Experience: 
<ul>
<li>5+ years of experience in business analysis, preferably in presales or consulting.</li>
<li>Strong expertise in requirements elicitation, analysis, and documentation.</li>
<li>Experience supporting presales activities, proposals, or RFPs.</li>
<li>Understanding of SDLC, APIs, system integrations, databases, and cloud platforms (AWS/Azure/GCP).</li>
<li>Foundational understanding of AI solutions, including ML concepts, Agentic AI, and RAG patterns.</li>
<li>Hands-on experience with Jira and structured documentation (BRDs, FRDs, user stories).</li>
<li>Strong communication and stakeholder management skills.</li>
</ul>
Why Join CodeNinja: 
<ul>
<li>Be a key contributor to AI-driven and digital presales engagements.</li>
<li>Collaborate with solution architects, AI engineers, data teams, and sales leaders.</li>
<li>Gain exposure to modern AI platforms, data systems, and cloud technologies.</li>
<li>Clear growth opportunities into Senior Business Analyst roles.</li>
</ul>
Disclaimer
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Business Analyst - Pre Sales

Axix Technologies

About the RoleAxix Technologies is hiring a high-potential AI Engineer Intern to work on production-grade Computer Vision, AI Agents, and end-to-end AI platforms. This role is not research-only&mdash;you&rsquo;ll build, deploy, optimize, and scale real systems used in live environments. Top performers will be offered a full-time position.Core Responsibilities<ul><li>Develop person detection &amp; tracking systems using YOLO, DeepSORT, ByteTrack</li><li>Build real-time video analytics pipelines</li><li>Design and deploy AI Agents &amp; agent workflows</li><li>Implement ML/DL model optimization (quantization, distillation, pruning)</li><li>Deploy models using OpenVINO / ONNX Runtime</li><li>Containerize services using Docker</li><li>Build microservices-based AI backends</li><li>Deploy and manage workloads on Kubernetes</li><li>Develop full-stack interfaces for AI systems (dashboards, APIs)</li><li>Integrate AI workflows using n8n automation</li></ul>Required Skills (Indeed SEO Optimized)<ul><li>Strong fundamentals in Computer Vision, ML &amp; Deep Learning</li><li>Hands-on with person detection &amp; tracking (DeepSORT, YOLO, OpenCV)</li><li>Experience with PyTorch / TensorFlow</li><li>Knowledge of AI Agents, Agent Orchestration &amp; Agent Flows</li><li>Familiarity with Cursor / AI-assisted IDEs</li><li>Experience with Docker &amp; containerized deployments</li><li>Understanding of microservices architecture</li><li>Basic working knowledge of Kubernetes (K8s)</li><li>Experience building REST APIs (FastAPI / Flask / Node.js)</li><li>Exposure to full-stack development (React/Vue + backend)</li><li>Strong Python skills (mandatory)</li></ul>Nice to Have<ul><li>MLOps basics (CI/CD, model versioning)</li><li>Edge AI or camera-based systems</li><li>LLMs, LangChain, RAG pipelines</li><li>Cloud platforms (AWS / GCP / Azure)</li></ul>What You&rsquo;ll Get<ul><li>PKR 20,000 monthly stipend</li><li>Work on enterprise-scale AI &amp; surveillance platforms</li><li>Exposure to real-time, high-load AI systems</li><li>Mentorship from senior AI &amp; systems architects</li><li>Clear career path to full-time AI Engineer</li><li>Hands-on experience with modern AI + DevOps stack</li></ul>How to ApplyEmail: careers@axixtechnologies.com WhatsApp/Call: 0300-1119405 Office: 138D1, Main Boulevard, Gulberg III, LahoreSubject: AI Engineer Intern &ndash; Computer Vision &amp; Full-StackJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

Upmotion Tech

Job Title: AI ML EngineerCompany: Upmotion Tech Location: Gulberg, Lahore Job Type: Full-timeRole OverviewWe are looking for a skilled AI Engineer with strong Python expertise to build and scale AI-powered applications. This role focuses on developing intelligent backend systems, integrating large language models, and designing AI agents that automate tasks and support decision-making. You will work closely with product and engineering teams to turn AI concepts into reliable, production-ready solutions.Key Responsibilities<ul><li>Develop and maintain AI-driven applications using Python</li><li>Design, build, and integrate AI agents for task automation and intelligent workflows</li><li>Implement vector-based embedding storage, search, and retrieval systems</li><li>Integrate large language models and AI services into backend architectures</li><li>Optimize AI pipelines for performance, reliability, and scalability</li><li>Collaborate with cross-functional teams to translate requirements into technical solutions</li></ul>Required Skills &amp; Experience<ul><li>Strong proficiency in Python for backend and AI development</li><li>Practical experience working with AI/ML systems and LLM-based applications</li><li>Hands-on experience with vector databases such as ChromaDB, Pinecone, FAISS, or Milvus</li><li>Experience designing, building, and managing AI agents</li><li>Solid understanding of modern AI development tools, workflows, and best practices</li></ul>Nice to Have<ul><li>Experience with cloud platforms and scalable backend systems</li><li>Familiarity with RAG pipelines and prompt engineering</li><li>Exposure to production monitoring and optimization of AI systems</li></ul>What We Offer<ul><li>Opportunity to work on real-world AI products and platforms</li><li>A collaborative, engineering-focused environment</li><li>Room to grow with emerging AI technologies and tools</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

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387 agentic ai engineer jobs IN Charge Design Mechanical Jobs In Lahore

Agentic AI Engineer

Sr. AWS AI Engineer

AI / ML Engineer

AI Engineering Intern

Business Analyst - Pre Sales

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

AI / ML Engineer