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Inqline

Job Title: Backend Engineer (Python, LLM &amp; AI Agents, Big Data)Location: Karachi, Pakistan Job Type: Full-TimeAbout the Role:We are looking for a Backend Engineer with 2-3 years of experience in Python development, specializing in LLMs (Large Language Models), AI Agents, and Big Data handling. The ideal candidate should have hands-on experience working with LangGraph and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.Key Responsibilities:<ul><li>Develop and maintain backend services using Python with a focus on AI Agents, LLM-based applications, and LangGraph.</li><li>Build and optimize AI-driven workflows using LangGraph for reasoning and decision-making automation.</li><li>Design and implement scalable APIs and microservices for AI applications.</li><li>Work with Big Data processing frameworks to efficiently manage and process large datasets.</li><li>Develop data pipelines and integrate AI models into production environments.</li><li>Ensure system scalability, reliability, and performance in AI-powered applications.</li><li>Deploy AI-driven solutions on cloud platforms (AWS, GCP, or Azure).</li><li>Collaborate with ML engineers, data scientists, and frontend developers to build intelligent automation tools.</li><li>Write clean, maintainable, and well-documented code following best practices.</li></ul>Requirements:<ul><li>2-3 years of experience in backend development using Python (Django, FastAPI, Flask, etc.).</li><li>Strong experience with Large Language Models (LLMs) and AI-powered applications.</li><li>Hands-on experience with LangGraph for AI workflow orchestration.</li><li>Experience working with AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.).</li><li>Knowledge of Big Data handling &ndash; experience with Apache Spark, Dask, Kafka, or similar is a plus.</li><li>Expertise in building APIs (RESTful, GraphQL) and microservices architecture.</li><li>Familiarity with databases (SQL and NoSQL &ndash; PostgreSQL, MongoDB, etc.).</li><li>Experience with cloud computing (AWS, GCP, Azure) for AI deployments.</li><li>Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul>Nice to Have:<ul><li>Experience with vector databases (e.g., Pinecone, Milvus, FAISS, Weaviate).</li><li>Exposure to NLP techniques and fine-tuning LLMs.</li><li>Experience with event-driven architectures and real-time data processing.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Backend development Python (Django, FastAPI, Flask, etc.): 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Backend Engineer (Python, LLM & AI Agents, Big Data)

RTW Creation

RTW Creation is looking for a smart, curious, and proactive Automation Engineer who&rsquo;s passionate about transforming manual workflows into seamless, AI-powered systems.If you're someone who enjoys building solutions using n8n, LLM agents like ChatGPT, or visual automation tools like ComfyUI, this role is for you. You&rsquo;ll work with cross-functional teams to identify automation opportunities, implement smart workflows, and continually optimize processes for scalability and performance.Key Responsibilities<ul><li>Identify business processes that can be automated to save time and reduce errors.</li><li>ComfyUI or similar tools for internal content generation or creative automation.</li><li>Document automation logic, conduct testing, and ensure reliable deployments.</li><li>Collaborate with operations, marketing, and customer service teams to scale automations.</li><li>Monitor, debug, and enhance existing automation workflows based on KPIs.</li></ul>Skills Required<ul><li>n8n (or Make, Zapier)</li><li>OpenAI / ChatGPT API</li><li>LangChain or similar LLM agents</li><li>ComfyUI / Stable Diffusion / Image generation APIs</li><li>Google Sheets / Google Apps Script</li><li>REST APIs, Webhooks, and JSON-based integrations</li></ul>Qualification:<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, or related field preferred.</li><li>Experience building automations with n8n, Zapier, or similar tools (At least one year).</li><li>Understanding of ChatGPT agents, OpenAI API, or LLM workflows.Experience with API integrations and JSON data formatting.</li><li>Problem-solving mindset and ability to work independently with minimal guidance.</li><li>Optional: Experience with Python, Node.js, or Apps Script is a plus.</li></ul>Bonus Points For<ul><li>Experience automating eCommerce workflows (e.g., Shopify, WooCommerce).</li><li>Building internal tools using Notion, Airtable, Google Sheets, or similar.</li></ul>Industry: E-commerce/Retail/ManufacturingLocation: Mehran Town, Near Brookes Chaurangi, Korangi, Karachi.Timings: 9:30 AM to 6:30 PMJob Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: In person

AI Automation Engineer

Sofstica

At Sofstica, we&rsquo;re at the forefront of pioneering AI-driven solutions that revolutionize industries. As part of our AI-first engineering revolution, we&rsquo;re seeking versatile AI Engineers who excel in building intelligent agents and thrive in end-to-end product development. If you&rsquo;re passionate about solving complex problems with code, data structures, and cutting-edge AI frameworks, join us to shape the future of technology.Key Responsibilities<ul><li>AI Agent Development:</li></ul>Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.<ul><li>Full-Stack Integration:</li></ul>Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.<ul><li>Deployment &amp; Scalability:</li></ul>Deploy and maintain AI models in production environments.<ul><li>Cross-Team Collaboration:</li></ul>Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.Qualification Technical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have Solid understanding of data structures, algorithms, and system design for solving complex technical challenges? </li><li>Are you fimilar with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration?</li><li>Do you have experience with LangChain/LangGraph?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

Fullstack - AI Engineer

Elite Solutions

<div>
 We are expanding our AI-driven teams and hiring
 
 developers, engineers, and researchers
 
 who are passionate about building the next generation of artificial intelligence systems.
 
 
 Whether your strength lies in
 
 building user interfaces
 
 ,
 
 developing back-end logic
 
 ,
 
 training AI models
 
 , or
 
 designing infrastructure
 
 , we have a place for you!
 
 
 You don't need to know exactly where you fit&mdash;we'll guide you. Just read the descriptions below and tell us which area matches your skills and interests best.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Front-End Developer
 
 
 </li>
 </ul>
 Designs and implements user-facing applications and dashboards.
 
 
 
 Key Skills:
 
 React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
 
 
 <ul>
 <li>
 Back-End Developer
 
 
 </li>
 </ul>
 Builds APIs and server-side systems that power AI tools and data pipelines.
 
 
 
 Key Skills:
 
 Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.
 
 
 <ul>
 <li>
 Full-Stack Engineer
 
 
 </li>
 </ul>
 Develops end-to-end applications connecting front-end interfaces with back-end AI logic.
 
 
 
 Key Skills:
 
 Combination of Front-End and Back-End skills, API design, CI/CD.
 
 
 <ul>
 <li>
 Machine Learning Engineer
 
 
 </li>
 </ul>
 Deploys, fine-tunes, and maintains AI models in production.
 
 
 
 Key Skills:
 
 PyTorch/TensorFlow, MLOps, model serving, inference optimization.
 
 
 <ul>
 <li>
 Data Engineer
 
 
 </li>
 </ul>
 Builds scalable data pipelines and manages datasets for training and evaluation.
 
 
 
 Key Skills:
 
 Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
 
 
 <ul>
 <li>
 Research Engineer
 
 
 </li>
 </ul>
 Bridges the gap between AI theory and implementation by building prototypes.
 
 
 
 Key Skills:
 
 Python, ML libraries, LLM experimentation, rapid prototyping.
 
 
 <ul>
 <li>
 DevOps / Site Reliability Engineer (SRE)
 
 
 </li>
 </ul>
 Ensures reliability, monitoring, and automation across AI systems.
 
 
 
 Key Skills:
 
 Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
 
 
 <ul>
 <li>
 Infrastructure Engineer
 
 
 </li>
 </ul>
 Designs and maintains the cloud infrastructure supporting AI training and deployment.
 
 
 
 Key Skills:
 
 AWS/GCP, Terraform, distributed systems, cost optimization.
 
 
 <ul>
 <li>
 Security Engineer
 
 
 </li>
 </ul>
 Secures the platforms and services powering our AI stack.
 
 
 
 Key Skills:
 
 Cloud security, identity management, penetration testing, audits.
 
 
 <ul>
 <li>
 AI Researcher (LLM / CV / RL)
 
 
 </li>
 </ul>
 Conducts experiments to advance the science behind our models (e.g., LLMs, computer vision, reinforcement learning).
 
 
 
 Key Skills:
 
 Research publications, advanced ML theory, model development, experimentation.
</div>

AI Engineers, Software Developers, and Full-Stack Innovators

THB Homecare LLC

Location: RemoteAbout the RoleWe are building a next-generation Digital AI Agent, as the patient-facing layer with our healthcare platform as backbone.We need an experienced Full-Stack Integration Engineer to create the middleware and integration work that connects our AI Agent to our healthcare platform patient data, appointments, wearables, and telehealth.This is a remote role, collaborating with our internal team, AI vendor and health care platform specialists.Key Responsibilities<ul><li>Design and implement a secure middleware layer between AI Agent and Health care Platform.</li><li>Handle OAuth2 (User Credentials flow) for authentication, secure token lifecycle, and session management.</li><li>Integrate AI Agent flows with healthcare use cases:</li><li>Fetch/display labs, vitals, medications.</li><li>Book/update/cancel appointments.</li><li>Launch telehealth sessions.</li><li>Insights on Wearable data.</li><li>Ensure compliance with HIPAA/GDPR and healthcare data standards.</li><li>Build lightweight dashboards/logging for auditing and monitoring.</li><li>Collaborate with conversation designers and clinical leads to implement patient journeys.</li><li>Work in agile sprints, provide clear documentation, and handover to internal team post-integration.</li></ul>Requirements<ul><li>5+ years of experience as a Full-Stack or Backend Engineer.</li><li>Strong proficiency in Node.js/TypeScript or Python (for APIs and middleware).</li><li>Hands-on experience with OAuth2, REST APIs, JSON, JWT tokens.</li><li>Familiarity with healthcare integrations (EHR, telehealth, wearables) a plus.</li><li>Experience deploying on AWS / GCP / Azure with security best practices.</li><li>Strong understanding of encryption, secure logging, and compliance.</li><li>Excellent communication &mdash; able to work remotely with cross-functional teams.</li></ul>Nice-to-Have<ul><li>Knowledge of WebRTC / video APIs (ex. Zoom SDK, Twilio, Doxy.me or similar).</li><li>Experience with LLM-powered conversational interfaces.</li><li>Familiarity with English and multilingual apps a plus.</li></ul>Engagement Model<ul><li>Remote collaboration with Your Team (Project Manager, Clinical Lead, Compliance Officer).</li><li>Coordination with AI Agent vendor support and Healthcare Platform API team.</li><li>Flexible contract: 3&ndash;6 months initial engagement with possible extension.</li></ul>Job Types: Full-time, Part-time

Senior Full-Stack Integration Engineer (Healthcare AI Agent)

Careem

<div><div>Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.</div><div>
Why Join Us?

At Careem, you&rsquo;ll: - Work with one of the region&rsquo;s most advanced engineering platforms. - Solve real-world challenges at scale impacting millions of users. - Learn and grow with a high-performance team. Contribute to AI-integrated infrastructure that supports both traditional services and next-gen intelligent agents.

About the Role

As a SRE Engineer (L10) on the Storage &amp; Infrastructure team, you&rsquo;ll focus on building, scaling, and automating our core data services. You&rsquo;ll work with a range of distributed systems including MySQL, Postgres, Kafka, Cassandra, Redis, and OpenSearch, while also supporting emerging workloads like vector databases, embedding stores, and LLM query caches. This role blends operational excellence with an opportunity to support AI-driven use cases like retrieval-augmented generation (RAG), agent memory systems, and AI observability tooling.

What You'll Do
<ul><li>Deploy, scale, and maintain cloud-native data systems on AWS.</li></ul>
<ul><li>Automate storage operations using IaC (Terraform, Pulumi, etc.).</li></ul>
<ul><li>Support AI-related infrastructure (e.g. Milvus, Weaviate, or Pinecone).</li></ul>
<ul><li>Collaborate with ML engineers and platform teams to support LLM-powered services.</li></ul>
<ul><li>Optimize and monitor performance across services using Prometheus, Grafana, OpenTelemetry, etc.</li></ul>
<ul><li>Participate in on-call rotations and contribute to post-incident reviews.</li></ul>
<ul><li>Help design secure, scalable environments that are AI-ready and cost-efficient.</li></ul> 


You&rsquo;ll Thrive If You Have-
<ul><li>5&ndash;8 years of experience operating distributed systems at scale.</li></ul>

- Proficiency with one or more languages (e.g. Go, Python, Bash). - Strong understanding of cloud infrastructure (preferably AWS).

- Experience with IaC and CI/CD pipelines. - Familiarity with Kafka, Redis, Cassandra, or

similar systems.
<ul><li>Exposure to AI infrastructure (bonus): vector stores, model serving platforms (e.g. Ray, LangChain, LlamaIndex).</li></ul>
<ul><li>Curiosity to learn about integrating infrastructure with AI agents and LLM-based applications.</li></ul> 


What we&rsquo;ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>A chance to help shape the future of AI-read</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

Senior Site Reliability Engineer II

Agency Partner Interactive

We are looking for a skilled Data Scientist to join our team at Agency Partner Interactive. The ideal candidate will have a strong background in programming languages such as Python, SQL, and R, and experience with Snowflake and its AI components, including Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, and Cortex Agents. The candidate should also have expertise in statistics and machine learning, database management, and data visualization tools like Streamlit, Power BI, Tableau, and Qlik. Knowledge of big data technologies is essential.Technical Skills:<ul><li>Proficiency in programming languages (Python, SQL, R, etc.)</li><li>Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.)</li><li>Strong understanding of statistics and machine learning</li><li>Expertise in database management</li><li>Proficiency in data visualization tools (Stream lit, Power BI, Tableau, Qlik)</li><li>Knowledge of big data technologies</li></ul>Analytical Skills:<ul><li>Problem-solving</li><li>Critical thinking</li><li>Data interpretation</li></ul>Responsibilities:<ul><li>6+ years of proven experience as a Data Scientist or in a similar role.</li><li>Collect, process, and analyze large datasets to extract valuable insights.</li><li>Develop and implement machine learning models and algorithms to solve complex business problems.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li><li>Design and build data pipelines and workflows to ensure efficient data processing and analysis.</li><li>Create and maintain dashboards and reports to visualize data and communicate findings to stakeholders.</li><li>Conduct exploratory data analysis to identify trends, patterns, and anomalies.</li><li>Stay up-to-date with the latest advancements in data science and machine learning technologies.</li><li>Ensure data quality and integrity by implementing best practices in data management and governance.</li><li>Provide technical guidance and mentorship to junior data scientists and analysts.</li></ul>Qualifications:<ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proven experience as a Data Scientist or similar role.</li><li>Strong knowledge of programming languages such as Python, SQL, and R.</li><li>Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.).</li><li>Expertise in statistics and machine learning.</li><li>Proficiency in database management and data visualization tools like Streamlit, Power BI, Tableau, and Qlik.</li><li>Familiarity with big data technologies.</li><li>Excellent analytical skills, including problem-solving, critical thinking, and data interpretation.</li><li>Strong communication skills to effectively convey complex data insights to non-technical stakeholders.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What are your current &amp; gross salary expectations, and is it negotiable?</li><li>If hired, what would be your notice period, and is there any possibility of an early joining date?</li><li>Have you worked with international clientele and their projects? If so, can you share your experience?</li><li>Why are you considering leaving your current role, or why did you leave your previous company?</li><li>Please provide your email address for further communication:</li><li>Which time slot do you prefer: 3:00 PM to 12:00 AM or 5:00 PM to 2:00 AM?</li></ul>Work Location: In person

Data Scientist

Explore 1317+ Backend engineer python llm ai agents big data in Karachi this October. Find roles across top companies and apply now to boost your career.