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aws ai engineer

Argon Tech

We are seeking a senior level AWS AI Engineer to design and implement a scalable, production ready Retrieval Augmented Generation system fully native to Amazon AWS. This role is backend and infrastructure focused, with no frontend responsibilities.The ideal candidate has deep hands on experience with Amazon Bedrock and AWS managed services and has previously worked on RAG pipelines, LLM evaluation, and AI infrastructure at scale.Key Responsibilities<ul><li>Design and build RAG pipelines using Amazon Bedrock and Bedrock Knowledge Bases</li><li>Implement retrieval layers using Amazon OpenSearch or AWS RDS</li><li>Orchestrate inference, retrieval, and evaluation workflows using AWS Lambda</li><li>Enable switching and comparison between multiple LLMs within Bedrock, including native and external models such as GPT and Gemini</li><li>Build automated evaluation frameworks for prompt performance, output quality, and chain logic</li><li>Implement AI guardrails, governance, and scalability controls using AWS native tooling</li><li>Ensure the system is modular, testable, and ready for future expansion</li></ul>Required Skills and Experience<ul><li>Strong hands on experience with Amazon AWS services</li><li>Proven expertise in Amazon Bedrock and Bedrock Knowledge Bases</li><li>Experience with AWS Lambda, OpenSearch, and RDS</li><li>Solid understanding of Retrieval Augmented Generation architectures</li><li>Experience building evaluation or testing frameworks for LLM outputs</li><li>Ability to work without frontend or UI dependencies</li><li>Strong grasp of scalable and standardized cloud architecture</li></ul>Preferred Qualifications<ul><li>Experience comparing and benchmarking multiple LLMs in production</li><li>Familiarity with prompt engineering and chain of thought orchestration</li><li>Exposure to AWS guardrails, IAM, logging, and monitoring for AI systems</li><li>Background in MVP to production transitions for AI products</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore Johar Town: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)</li></ul>Application Question(s):<ul><li>Please share your current salary, expected and notice period.</li></ul>Experience:<ul><li>AWS AI Development: 4 years (Preferred)</li></ul>Work Location: In person

AWS AI Engineer

CodeNinja

About the Company
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 
Role Overview: 
CodeNinja is building its next-generation Cloud & AI practice as part of our journey toward becoming an AWS AI Standard Tier Partner. We are hiring an AWS AI Engineer to support AWS partnership accreditation, design and deliver AI/ML and Generative AI solutions on AWS, and enable presales and internal capability building.
 This is a high-impact role combining hands-on engineering, client-facing engagement, and AWS ecosystem expertise.
 
Key Responsibilities: 
1) AWS AI & ML Solution Engineering: 
<ul>
<li>Architect and implement AI/ML solutions using AWS services including:</li>
<li>Amazon SageMaker (training, tuning, deployment)</li>
<li>Amazon Bedrock (LLMs, GenAI orchestration)</li>
<li>Comprehend, Rekognition, Lex, Kendra</li>
<li>Lambda, Step Functions (orchestration)</li>
<li>S3, RDS, DynamoDB, OpenSearch (data backbone)</li>
<li>Develop and optimize ML pipelines (ingestion, preprocessing, feature engineering, deployment).</li>
<li>Build and deploy RAG systems and inference workflows.</li>
</ul>
2) Support AWS AI Partnership Accreditation: 
<ul>
<li>Contribute to customer success stories and required evidence for AWS tier progression.</li>
<li>Support AWS scorecard requirements (training completion, technical documentation, artifacts).</li>
<li>Build reusable templates, architectures, accelerators, and reference implementations.</li>
<li>Maintain practice documentation (playbooks, architectures, runbooks).</li>
</ul>
3) Presales & Customer Engagement: 
<ul>
<li>Join presales calls with sales/partnership stakeholders and lead technical discovery.</li>
<li>Translate business requirements into AWS-native solution designs and implementation plans.</li>
<li>Build PoCs and demos to support sales cycles.</li>
<li>Prepare technical proposals, architecture diagrams, and effort estimates.</li>
</ul>
4) AI Knowledge Base & Internal Enablement: 
<ul>
<li>Create and maintain an internal AI Practice Hub (e.g., Notion):</li>
<li>Service catalog, case studies, best practices</li>
<li>Accelerators, reusable components, reference architectures</li>
<li>Develop training material and run internal sessions on GenAI, MLOps, and AWS AI services.</li>
</ul>
5) Cross-Functional Collaboration: 
<ul>
<li>Collaborate with Cloud/Data/DevOps/MLOps teams on delivery and standards.</li>
<li>Partner with Sales and Marketing on AI GTM collateral and demos.</li>
<li>Provide inputs to AI practice roadmap, delivery frameworks, and governance.</li>
</ul>
Requirements: 
Required Skills & Experience: 
Technical: 
<ul>
<li>4+ years of hands-on experience delivering AI/ML solutions on AWS.</li>
<li>Strong knowledge of:</li>
<li>SageMaker, Bedrock, Lambda, Step Functions</li>
<li>S3, DynamoDB, OpenSearch</li>
<li>IAM, CloudWatch, CloudFormation/Terraform</li>
<li>Strong Python skills (APIs, Lambda handlers, ML pipelines; FastAPI preferred).</li>
<li>Experience with ML frameworks: PyTorch / TensorFlow / Scikit-learn.</li>
<li>Practical experience building RAG systems, embeddings, and retrieval pipelines.</li>
<li>Familiarity with vector stores such as FAISS, OpenSearch, Pinecone, Chroma.</li>
<li>Exposure to MLOps tooling (e.g., MLflow, containerization, Kubernetes).</li>
</ul>
Soft Skills: 
<ul>
<li>Strong client-facing communication and presentation skills.</li>
<li>Strong documentation discipline (architecture notes, runbooks, playbooks).</li>
<li>Ability to translate ambiguous needs into clear technical solutions.</li>
<li>Comfortable collaborating with engineering, sales, and leadership stakeholders.</li>
</ul>
Nice to Have: 
<ul>
<li>Experience with GenAI providers/models (e.g., OpenAI, Anthropic, Llama).</li>
<li>Experience with SageMaker Pipelines / Kubeflow / MLflow.</li>
<li>Experience deploying AI-backed APIs or chatbot systems in production.</li>
<li>Prior consulting or presales experience.</li>
</ul>
Why Join CodeNinja: 
<ul>
<li>Work on real-world AI and cloud solutions for global clients.</li>
<li>Collaborate with high-performing, cross-functional teams.</li>
<li>Grow your career in a fast-scaling, innovation-driven environment.</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, & performance. Female and minorities are strongly encouraged and preferred to apply for the role.
 
Benefits: 
<ul>
<li>Provident Fund</li>
<li>Gym Membership</li>
<li>Leaves as per the company policy</li>
<li>Company-paid trips</li>
<li>Easy Loan Facility for Employees</li>
<li>Yearly increment</li>
<li>Maternity Benefits (Leaves & WFH)</li>
<li>Health Insurance (Maternity covered) – includes spouse and parents (till age 80)</li>
</ul>

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
 
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

Tazah Technologies

Full Stack EngineerAbout the Role:We&rsquo;re looking for a passionate Full Stack Engineer with solid experience in Python (FastAPI / Django / Flask), React, and Node.js to join our growing tech team. The ideal candidate will have strong command over both front-end and back-end development, with exposure to AWS services and modern DevOps practices.Key Responsibilities:<ul><li>Develop and maintain scalable web applications using React (frontend) and Python/Node.js (backend).</li><li>Build and integrate RESTful APIs ensuring performance and security best practices.</li><li>Collaborate closely with designers, product managers, and engineers to deliver robust, user-centric solutions.</li><li>Manage deployments and CI/CD pipelines (DevOps experience preferred).</li><li>Optimize applications for speed, scalability, and cloud performance.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science or related field (or equivalent practical experience).</li><li>Preferably 3+ years of professional experience as a Full Stack Engineer.</li><li>Proficiency in Python (FastAPI / Django / Flask), React, and Node.js.</li><li>Strong understanding of REST APIs, databases (SQL/NoSQL), and cloud platforms.</li><li>Hands-on experience with AWS services such as EC2, ECS, S3, API Gateway, DynamoDB, etc.</li><li>Familiarity with Docker, CI/CD, AWS/Azure, or similar DevOps tools.</li><li>Excellent problem-solving, debugging, and communication skills.</li></ul>Nice to Have:<ul><li>Experience with GraphQL.</li><li>Knowledge of testing frameworks (Jest, Mocha, PyTest, etc.).</li><li>Exposure to AI frameworks such as OpenAI, LangChain, or AgenticAI.</li><li>Understanding of microservices and distributed systems.</li></ul>Why Join? Founding Team Role: A seat at the strategy table: shape the product, the stack, and the AI culture from day 1.Fast Growth: Join at the ground floor and grow with us&mdash;your impact today positions you to lead tomorrow&rsquo;s team and take full ownership of the products you helped bring to life.Let&rsquo;s take the wheel together: Tackle real-world challenges with us and make your mark by shipping the next big AI product the world will love.Rewards: Competitive PKR salary + employee stock options + Health insurance for you and your family.Job Type: Full-timePay: Rs250,000.00 - Rs450,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Full Stack Engineer

Trivium Technologies

We are looking for a Senior Full Stack Engineer with a heavy emphasis on AI/ML to join a high-growth US-based team. This is a role for an engineer who builds with scale in mind and stays on the bleeding edge of Generative AI.The Tech Stack:<ul><li>Backend: Node.js, Python (FastAPI/Django), Go.</li><li>Frontend: React, Next.js, TypeScript.</li><li>AI/ML: OpenAI API, LangChain, Pinecone, PyTorch, or TensorFlow.</li><li>Infrastructure: AWS/GCP, Docker, Kubernetes, CI/CD.</li></ul>The Profile:<ul><li>Experience: 5-8+ years in professional software development.</li><li>AI Expertise: Proven experience deploying AI models or building LLM-powered applications into production.</li><li>Remote Mastery: You thrive in an autonomous, remote environment and are comfortable with US-time zone synchronization.</li><li>Architectural Mindset: You don't just write code; you design systems that are secure, performant, and scalable.</li></ul>Note : Must have experience in closing US remote jobs leads. if don't have this experience please don't apply for the roleJob Type: Full-timePay: Rs200,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Full Stack 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

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)

Explore 267+ Aws ai engineer in Lahore this January. Find roles across top companies and apply now to boost your career.

267 aws ai engineer jobs IN Lahore

AWS AI Engineer

AWS AI Engineer

Sr. AWS AI Engineer

Full Stack Engineer

Senior Full Stack AI Engineer

Agentic AI Engineer

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