AI Integration Engineer
Plugs machine learning models into existing systems by building APIs and middleware, working with data scientists, engineers and product managers on reliable deployment. Suits an engineer with 3 or more years in Python, REST services and cloud platforms who knows TensorFlow, PyTorch or scikit-learn.
Remote · Pakistan
3+ years
Pay not stated
Full-time
Posted 13 Apr 2026What they ask for
Roadmaps and cheat sheets for this role
Matched to the skills and level this job asks for.
- RoadmapMachine learningData, models, deep learning
- RoadmapAI engineeringBuild products on LLMs and generative AI
- RoadmapBackend developmentAPIs, databases, auth, deploys
- Cheat sheetMachine learningData, models, deep learning.
- Cheat sheetAI engineeringBuild products on LLMs and generative AI.
- Cheat sheetBackend developmentAPIs, databases, auth, deploys.
Worth reading before you apply
From the Sefism resource library, matched to this role.
A course on AI system design interviews, from classic ML systems such as recommendations, ranking and fraud detection to LLM serving costs, RAG, generative AI products and agentic systems, with a repeatable framework and full case studies. It takes about 20 hours across 9 chapters. It suits engineers who can write code and know what a model, an API and a database are, and are facing design rounds that now include AI.
- AI
- System design
- Job search
A beginner course that gives software engineers and students a clear, practical grounding in modern AI: core concepts, training a simple model, neural networks and deep learning, search algorithms, reinforcement learning, agentic AI, modern tools and prompting, and the ethics and hype around it all. It takes about five hours across 14 chapters with playgrounds and assessments, and needs no prior AI background.
- AI
- Machine learning
The second volume of Grokking the System Design Interview, aimed at senior and staff (L5/L6) design rounds. It works through harder case studies such as a payment system, flash sale, notification service, unique ID generator, Gmail, Reddit, Google Calendar and a code judging system, then goes beneath them with patterns like quorum, write-ahead logs and vector clocks and deep dives into Dynamo, Cassandra, Kafka, Chubby, HDFS, GFS and BigTable.
- System design
- Backend
- Job search
The original Grokking system design course, which made the design round learnable. It teaches a repeatable interview approach and the key trade-offs (SQL versus NoSQL, strong versus eventual consistency, REST versus RPC and more), then works through 15 classic designs such as a URL shortener, Instagram, Dropbox, Twitter, YouTube, a rate limiter, a web crawler, Uber and Ticketmaster, each with requirements, estimates and trade-off discussion.
- System design
- Job search
- Backend
The official docs for Pydantic, Python's most widely used data validation library: models declared with type hints, strict and lax validation, JSON Schema generation and serialisation. It is how Python agents validate model output and tool arguments, and most agent frameworks accept Pydantic models directly.
- Programming
- Backend
- AI
Free, short video courses on Apache Kafka and stream processing from Confluent, the company founded by Kafka's original creators. Kafka 101 is the quickest clear introduction to topics, partitions, producers and consumers; follow it with the Kafka Connect and Schema Registry courses for data pipelines.
- Programming
- Backend
- System design
The full description, requirements and how to apply are on the company's own posting. This page is a summary so you can decide whether it is worth opening.
Verification
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Last checked 8 days ago (6 Oct 2026)
About the company
Karachi software development company delivering product engineering for US clients across health, media and commerce.
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