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ai engineer (in-house)

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

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> 

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Sr. AWS AI Engineer

Simcoe IT

We are looking for a motivated AI Engineer / API Integrator to join our growing AI development team. The ideal candidate will have hands-on experience in Python, API integration, and LangChain frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.Key Responsibilities<ul><li>Integrate and manage external AI and NLP APIs within the AI Processing Router Engine.</li><li>Design and maintain query routing pipelines for text, image, and video workflows.</li><li>Test and optimize API performance and latency across different AI layers.</li><li>Handle API token management, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul>Required Skills &amp; Experience<ul><li>2 years of hands-on experience with Python programming.</li><li>Solid understanding of LangChain, LLM workflows, and prompt optimization.</li><li>Proven ability in API integration (REST / GraphQL) and data handling.</li><li>Familiarity with AI model deployment and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: In person

AI Engineer / API Integrator

Skylinx Technologies

We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsWork Location: In person

AI Engineer (In-House)

Rapid Labs

About Us: Rapid Labs is a leader in the AI revolution, building innovative solutions across industries such as Retail, Healthcare, Legal, and Finance. We leverage AI technologies like Computer Vision, NLP, and AI-powered Chatbots to enhance user experiences and streamline operations. Join us to contribute to impactful AI solutions and shape the future of intelligent systems.Job Overview: We are seeking a talented AI Engineer with 2+ years of experience in machine learning and AI development, who can also create clear and actionable Product Requirements Documents (PRDs). The ideal candidate will design, develop, and deploy machine learning models, while translating business and product requirements into technical specifications for AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI systems.</li><li>Translate business needs and product goals into detailed PRDs including functional requirements, user stories, success metrics, and constraints.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Integrate AI models into production systems in collaboration with engineers, data scientists, and product managers.</li><li>Optimize models for performance, reliability, and scalability.</li><li>Stay up-to-date with the latest AI research, tools, and best practices.</li><li>Document AI workflows, pipelines, and system architectures clearly for team and stakeholder use.</li><li>Participate in cross-functional meetings to ensure alignment of AI development with business objectives.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>2+ years of hands-on experience in machine learning, AI, or related roles.</li><li>Strong programming skills in Python, experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) preferred but not mandatory.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with model deployment, monitoring, and production pipelines.</li><li>Ability to create clear, detailed PRDs and translate business requirements into technical specifications.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary and fringe benefits</li><li>Paid Time Off &amp; Leave Encashment</li><li>EOBI</li><li>Professional Development &amp; Career Advancement</li><li>Team Building Activities &amp; Company Trips</li><li>Innovative Work Environment &amp; Wellness Programs</li><li>Performance-Based Promotions</li></ul>Location: TAMC Building, Gulberg-III, Lahore. Office Hours: 05:00 PM &ndash; 02:00 AM (Monday to Friday)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in creating Product Requirements Documents (PRDs)?</li><li>Have you independently created Product Requirements Documents (PRDs) from start to finish?</li><li>What is your current / last drawn salary?</li><li>What is your expected salary?</li><li>Are you willing to work on site in gulberg III from 05:00PM - 02:00 Am (Monday - Friday)</li><li>What is your notice period with the current employer (in days)?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI / ML: 2 years (Required)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Lahore Gulberg Colony (54660) (Preferred)</li></ul>Work Location: In person

AI Engineer (Machine Learning & PRD Specialist)

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

AI / ML Engineer

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