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ai developer llm saas integration

Ross Mckinley Accountants Ltd

We are hiring an AI Developer who can work across the stack while integrating AI/LLM capabilities into real SaaS products. We are currently recruiting and looking for the right candidate who is available to start immediately full time and working remotely.This is not a pure research role &mdash; it&rsquo;s a builder role. You&rsquo;ll design, develop, and deploy production-ready AI-powered features across frontend and backend.Responsibilities<ul><li>Build and maintain SaaS features across frontend (React/Next.js) and backend (Node.js/Python).</li><li>Integrate AI APIs (OpenAI, Anthropic, etc.), vector databases, and embeddings.</li><li>Design and optimize prompt workflows for reliable and accurate responses.</li><li>Deploy applications in cloud environments (AWS/GCP/Azure).</li><li>Collaborate with product/design teams to ship user-facing AI modules.</li><li>Implement guardrails, monitoring, and fallback systems for AI features.</li></ul>Must-Have Skills<ul><li>Strong in React.js / Next.js (frontend).</li><li>Proficient in Node.js and/or Python (backend + AI integration).</li><li>Hands-on experience with AI APIs, LLMs, embeddings, vector DBs.</li><li>Familiarity with prompt engineering in real projects.</li><li>SaaS development exposure (dashboards, authentication, APIs).</li></ul>Nice-to-Have Skills<ul><li>Experience with LangChain, LlamaIndex, or RAG systems.</li><li>Knowledge of CI/CD, Docker, Kubernetes.</li><li>Basic ML/AI training knowledge (PyTorch/TensorFlow).</li><li>Familiarity with automation and workflow builders.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: Remote

AI Developer - LLM / SaaS Integration

HR Ways

About the job Full Stack Engineer (Python/Django &amp; React)Company Description:Our client is a leading full-service IT company delivering seamless, results-driven software, web, and mobile solutions to global clients from startups to Fortune 500s.Job Description:As a Full Stack Engineer, you'll build scalable backends with Python (Django, FastAPI) and dynamic frontends using React and Next.js. You'll ensure smooth integration across systems while collaborating with cross-functional teams. AI integration (e.g., OpenAI APIs) and modern dev tools like Copilot and CursorAI will support your workflow.&#65279;Key Responsibilities<ul><li>Backend Development: Design, build, and maintain scalable backend services using Python, Django, and FastAPI</li><li>Frontend Development: Develop responsive and interactive frontend applications using Next.js and React</li><li>System Integration: Integrate frontend and backend systems seamlessly</li><li>Cross-functional Collaboration: Work closely with designers, project managers, and QA engineers</li><li>Code Quality: Write clean, reusable, and efficient code with proper documentation</li><li>Team Participation: Participate in code reviews and team discussions to maintain high-quality development standards</li><li>AI Integration: Work confidently with AI integrations (e.g., OpenAI APIs, LLM-based tools) to build intelligent features</li><li>Developer Productivity: Utilize developer tools like CursorAI, Claude Code, GitHub Copilot, etc., to accelerate development</li></ul>&#65279;Requirements:Technical Skills<ul><li>Minimum 2 years of hands-on experience with Python and at least one web framework (FastAPI, Django)</li><li>Solid understanding of Next.js, React.js, and JavaScript</li><li>Experience integrating REST APIs and working with backend/frontend communication</li><li>Familiarity with Git and version control systems</li></ul>AI &amp; Modern Development<ul><li>Prior experience or strong interest in building features using AI/LLM APIs (e.g., OpenAI, Anthropic)</li><li>Comfort using AI developer tools like CursorAI, Claude Code, or similar for productivity</li></ul>Soft Skills<ul><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication and collaboration skills in a team environment</li></ul>&#65279;Other Details:Experience: 2 years&#65279;Location: DHA 3, Lahore&#65279;Working Time: Monday to Friday (2 pm till 11 pm)&#65279;About HR WAYS:HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our Whatsapp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.Job Type: Full-timePay: Rs230,000.00 per monthWork Location: In person

Full Stack Engineer (Python/Django & React)

Architecture In Motion

<div>Senior AI Developer (Remote)

Job Summary:

We are looking for an experienced Senior AI Developer to lead the design, development, and deployment of our AI-driven solutions and services. This role involves establishing a robust in-house AI development pipeline and integrating cutting-edge generative AI capabilities into our products. The ideal candidate will have over five years of experience in the AI/ML domain across multiple facets, including natural language processing (NLP), data engineering, model deployment, and MLOps best practices.

As our Senior AI Developer, you will be responsible for building and scaling AI applications that leverage the latest in large language models and cloud technologies. You will work closely with our product, data engineering, and DevOps teams to ensure these AI solutions are robust, scalable, and seamlessly integrated into our platform, while upholding security and quality standards for our startup&rsquo;s rapidly evolving offerings. 


Key Responsibilities: 

<ul>
<li>AI Solution Design &amp; Integration: Lead the design, development, and integration of AI-driven solutions into our products, ensuring these systems are robust, scalable, and deliver meaningful value to users.</li>
</ul><ul><li>Chatbot &amp; Generative AI Applications: Build and integrate intelligent chatbot and generative AI applications using large language models (LLMs) to enhance user engagement and automate customer support tasks.</li>
</ul><ul><li>Prompt Engineering &amp; Workflow Orchestration: Design effective prompt engineering strategies and orchestrate multi-step AI agent workflows (using frameworks like LangChain or LangGraph) to enable LLMs to perform complex tasks and conversations.</li>
</ul><ul><li>Data Pipelines &amp; RAG Integration: Integrate vector databases and implement retrieval-augmented generation (RAG) techniques to provide LLMs with relevant contextual data, working with data engineers to incorporate enterprise data sources (e.g., Snowflake, Databricks) into AI pipelines.</li>
</ul><ul><li>Model Deployment &amp; MLOps: Deploy and manage machine learning models (including LLMs) in production on cloud infrastructure (Azure preferred or AWS), implementing MLOps best practices like CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing to ensure reliable and scalable model deployments.</li>
</ul><ul><li>Performance Monitoring &amp; Optimization: Monitor the performance of AI models and services, recommend and implement optimizations (such as model fine-tuning or caching) to improve latency and accuracy, and troubleshoot any issues in the AI pipeline.</li>
</ul><ul><li>Scalability &amp; Cost Optimization: Design AI systems with scalability and efficiency in mind, and optimize resource utilization and cloud costs for both model training and inference workloads.</li>
</ul><ul><li>Security &amp; Compliance: Ensure AI solutions adhere to data privacy and security standards (e.g., GDPR) and implement appropriate access controls and governance to maintain compliance with organizational policies and ethical AI practices.</li>
</ul><ul><li>Collaboration: Work closely with product management, data engineering, DevOps, and software development teams to ensure AI initiatives align with business goals and integrate seamlessly into existing workflows.</li>
</ul><ul><li>Innovation &amp; Best Practices: Stay up-to-date with the latest advancements in AI and machine learning (new models, frameworks, techniques) and industry best practices. Drive continuous innovation and improvements in our AI solutions and development processes.</li></ul> 


Required Skills &amp; Qualifications: 

<ul>
<li>Experience: Minimum of 5 years of experience in software development, including at least 3 years of hands-on work in AI/ML engineering and deploying models to production environments.</li>
</ul><ul><li>LLM &amp; NLP Expertise: Deep understanding of natural language processing and large language models, with hands-on experience building applications using OpenAI/Gemini APIs or similar LLM platforms.</li>
</ul><ul><li>Vector Databases &amp; RAG: Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and implementing retrieval-augmented generation techniques to provide relevant context to AI models.</li>
</ul><ul><li>Programming Skills: 
Strong expertise in .NET and python development, with hands-on experience using Microsoft Dev Box for cloud-based development environments and building modern web applications with Blazor Wasm. Skilled in integrating systems and services through Azure for streamlined deployment and management. Additionally, proficient in machine learning frameworks like TensorFlow or PyTorch, and familiar with AI tools such as Hugging Face Transformers and LangChain for developing LLM-driven applications.</li>
</ul><ul><li>MLOps &amp; DevOps: Experience with machine learning operations and DevOps practices for AI, including building CI/CD pipelines for model deployment, containerizing ML solutions with Docker/ Kubernetes, and automating model retraining and monitoring.</li>
</ul><ul><li>Cloud AI Platforms: Proven experience deploying AI solutions on cloud platforms, preferably Microsoft Azure (Azure Machine Learning, Cognitive Services, etc.) or AWS, and leveraging cloud infrastructure for scalability and performance.</li>
</ul><ul><li>Data Engineering: Familiarity with data pipeline and warehouse technologies (e.g., Snowflake, Databricks) and experience handling large datasets for model training and inference, working with data engineering teams to ensure data quality and availability.</li>
</ul><ul><li>Problem Solving: Strong analytical and troubleshooting skills for complex AI systems, with a proactive approach to identifying issues, debugging model errors, and ensuring reliability of AI services.</li>
</ul><ul><li>Collaboration &amp; Communication: Excellent communication skills and ability to work effectively in cross-functional teams. Able to articulate complex AI concepts in simple terms to non-technical stakeholders and collaborate on innovative solutions.</li></ul> 


Nice-to-Have Qualifications: 

<ul>
<li>Advanced Degree &amp; Research: Master&rsquo;s or PhD in Artificial Intelligence, Computer Science, or a related field, with any research publications or open-source contributions in the AI/ML domain.</li>
</ul><ul><li>Full-Stack Development: Familiarity with general software development (e.g., building web or mobile applications) and the ability to integrate AI components into front-end or back-end systems (experience with JavaScript/TypeScript frameworks (such as React or Next.js) and backend technologies like Node.js, Go, or Rust is a plus.</li>
</ul><ul><li>Big Data &amp; Distributed Systems: Experience with big data processing and distributed computing frameworks (such as Apache Spark or Hadoop) for handling and processing large-scale datasets in AI projects.</li>
</ul><ul><li>Monitoring &amp; ML Observability: Familiarity with monitoring and logging tools (e.g., Azure Monitor, Prometheus, MLflow) for tracking model performance, data drift, and system health in production AI systems.</li></ul></div>

Senior AI Developer (Remote)

StratifyIQ

<div>
 
 About The Company
 
 
 
 We&rsquo;re a fast-growing company building an AI-powered platform that processes massive datasets to deliver intelligent automation and personalized user experiences. As we continue to scale rapidly, we&rsquo;re looking for skilled developers to help strengthen and expand our core systems.
 
 
 The Role
 
 
 As a
 
 Backend Developer
 
 , you&rsquo;ll be a key contributor in scaling our infrastructure to handle millions of daily records. You&rsquo;ll work closely with our technical leadership to design, optimize, and maintain high-performance systems that power AI-driven features and large-scale data operations.
 
 
 Technical Stack
 
 
 <ul>
 <li>
 Languages: Python (Flask)
 </li>
 <li>
 Infrastructure: Google Cloud Platform (Cloud Run, Cloud Functions, Workflows)
 </li>
 <li>
 Databases: PostgreSQL (Cloud SQL with vector tables), Firestore
 </li>
 <li>
 AI/ML: OpenAI GPT-4.1, vector embeddings, semantic search
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and optimize scalable backend systems to support large-scale workloads.
 </li>
 <li>
 Design efficient database schemas and write performant SQL queries for large datasets
 </li>
 <li>
 Implement and iterate on embedding-based vector search for semantic recommendations
 </li>
 <li>
 Develop cloud functions and workflows on Google Cloud Platform
 </li>
 <li>
 Collaborate on AI-driven features including LLM integration and prompt engineering
 </li>
 <li>
 Solve complex scalability challenges (e.g., processing millions of images/records efficiently)
 </li>
 <li>
 Write tests and contribute to CI/CD processes using AI-assisted development tools
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 <ul>
 <li>
 Strong SQL expertise: Database optimization, efficient query design, indexing strategies, understanding query complexity
 </li>
 <li>
 Python proficiency: Experience with Flask or similar frameworks
 </li>
 <li>
 Scale mindset: You understand that "doing it once" vs "doing it a million times in an hour" requires different approaches
 </li>
 <li>
 Problem-solving under pressure: Ability to think critically and adapt quickly in a fast-paced startup environment
 </li>
 <li>
 Team-first mentality: You work for your teammates and customers, not just your manager
 </li>
 <li>
 Passion for growth: You see this as a career opportunity, not just a job
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with vector databases and embeddings
 </li>
 <li>
 Knowledge of LLM integration and prompt engineering
 </li>
 <li>
 Prior work with Google Cloud Platform services
 </li>
 <li>
 Background in building and scaling large distributed data systems.
 
 
 </li>
 </ul>
 Work Details
 
 
 <ul>
 <li>
 Hours: Full Central Time (9&ndash;5 CST) availability preferred; minimum overlap of 5 hours required (9a&ndash;2p CST).
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Full-time contractor
 
 
 </li>
 </ul>
 Culture
 
 
 We&rsquo;re a supportive, high-performing team that values speed, creativity, and impact. We foster growth by encouraging experimentation, providing mentorship, and supporting team members even beyond their time with us. If you&rsquo;re passionate about solving hard problems and building meaningful technology, you&rsquo;ll thrive here.
</div>

Backend Developer - Python (PK)

Core Edge Outsourcing LLC

<div><h3 class="jobSectionHeader">AI Full Stack Developer</h3>
We're hiring a talented AI Full Stack Developer to build cutting-edge AI applications for our global clients.<h3 class="jobSectionHeader">
Position Details</h3><ul><li>
Shift: 5 PM&ndash;2 AM or 8 PM&ndash;5 AM</li><li>
Location: Onsite in Lahore</li><li>
Type: Full-time</li></ul><h3 class="jobSectionHeader">
What You'll Do</h3>
You will be responsible for building complete, end-to-end AI applications. This includes:<ul><li>
Developing backend systems for data processing and AI logic.</li><li>
Creating clean, user-friendly interfaces.</li><li>
Implementing and improving Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Working with leading Large Language Model (LLM) APIs, such as OpenAI GPT, Anthropic Claude, and Google Gemini.</li><li>
Designing agentic workflows that can automate complex, multi-step tasks.</li><li>
Collaborating on the entire tech stack, from vector databases to frontend components.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
2+ years of professional software development experience.</li><li>
Strong skills in Python and/or TypeScript (Node.js).</li><li>
Experience with LLM APIs beyond basic calls.</li><li>
Proven ability to implement RAG using vector embeddings and databases.</li><li>
A quick learner with a &quot;get-it-done&quot; attitude.</li></ul><h3 class="jobSectionHeader">
Bonus Points for Experience with:</h3><ul><li>
Vector databases like Pinecone, ChromaDB, FAISS, or Milvus.</li><li>
Frameworks like LangChain or LlamaIndex.</li><li>
Cloud platforms (AWS, GCP, Azure).</li><li>
Advanced prompting techniques and agentic design patterns (ReAct).</li></ul></div>

Full Stack AI Developer

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Minimum 2 years of hands-on experience with Python and at least one web framework (FastAPI, Django)
 </li>
 <li>
 Solid understanding of Next.js, React.js, and JavaScript
 </li>
 <li>
 Experience integrating REST APIs and working with backend/frontend communication
 </li>
 <li>
 Familiarity with Git and version control systems
 </li>
 <li>
 Prior experience or strong interest in building features using AI/LLM APIs (e.g., OpenAI, Anthropic)
 </li>
 <li>
 Comfort using AI developer tools like CursorAI, Claude Code, or similar for productivity
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a team environment
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable backend services using Python, Django, and FastAPI
 </li>
 <li>
 Develop responsive and interactive frontend applications using Next.js and React
 </li>
 <li>
 Integrate frontend and backend systems seamlessly
 </li>
 <li>
 Work closely with designers, project managers, and QA engineers
 </li>
 <li>
 Write clean, reusable, and efficient code with proper documentation
 </li>
 <li>
 Participate in code reviews and team discussions to maintain high-quality development standards
 </li>
 <li>
 Work confidently with AI integrations (e.g., OpenAI APIs, LLM-based tools) to build intelligent features
 </li>
 <li>
 Utilize developer tools like CursorAI, Claude Code, GitHub Copilot, etc., to accelerate development
 
 
 
 </li>
 </ul>
 
 Work Schedule:
 
 
 
 <ul>
 <li>
 02:00 PM - 11:00 PM
 
 </li>
 </ul>
</div>

Full Stack Developer - Python (Onsite, Lahore, PKR Salary)

Softpers Interactive

<div>Job Description 
Full Stack Engineer<div>
Key Responsibilities: 
<ul><li>Design, build, and maintain scalable backend services using Python, Django, and FastAPI</li><li>Develop responsive and interactive frontend applications using Next.js and React</li><li>Integrate frontend and backend systems seamlessly</li><li>Work closely with designers, project managers, and QA engineers</li><li>Write clean, reusable, and efficient code with proper documentation</li><li>Participate in code reviews and team discussions to maintain high-quality development standards</li><li>Work confidently with AI integrations (e.g., OpenAI APIs, LLM-based tools) to build intelligent features</li><li>Utilize developer tools like CursorAI, Claude Code, GitHub Copilot, etc., to accelerate development</li></ul></div><div>
Requirements: 
<ul><li>Minimum 2 years of hands-on experience with Python and at least one web framework (FastAPI, Django)</li><li>Solid understanding of Next.js, React.js, and JavaScript</li><li>Experience integrating REST APIs and working with backend/frontend communication</li><li>Familiarity with Git and version control systems</li><li>Prior experience or strong interest in building features using AI/LLM APIs (e.g., OpenAI, Anthropic)</li><li>Comfort using AI developer tools like CursorAI, Claude Code, or similar for productivity</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication and collaboration skills in a team environment</li></ul></div>
Salary Range: 100k to 160k 
Location: Onsite 
Shift: 2 PM to 11 PM 
Additional Information 
Compensation<ul><li>
Salary: PKR 200,000 per month</li></ul></div>

Full Stack Engineer

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