Seeka Technology
AI
BackendAI&DataPipelineEngineer
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“Backend AI & Data Pipeline Engineer at Seeka Technology. Skills: Backend AI & Data Pipeline Engineering, Data Processing, Cloud Infrastructure, Python, AWS. Own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. Design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations”
What You'll Achieve.
Improve the efficiency, reliability, and scalability of our platform; Ensure match accuracy; Keeping infrastructure costs under control as data volume scales
Industry & Context.
Sharpens problem-solving
What They're Looking For.
Must Have
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems, Hands-on experience with AWS serverless and container services — Lambda, ECS Fargate, EventBridge, and Step Functions, Python skills — Pandas, async processing, bulk database operations, and text cleaning, Cost-conscious infrastructure mindset — you think in per-record compute costs, free tiers, Spot resilience, and right-sizing, Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders, Degree or existing proven experience relevant to the role
Nice to Have
Familiarity with vector databases and semantic similarity, MongoDB Atlas Vector Search experience is a plus, Experience with knowledge graphs or association rule mining (FP-Growth, Apriori), Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results, Background in edtech, jobtech, or recommendation/matching systems
What You'll Do.
Own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform
Design and maintain scalable
event-driven pipelines that process tens of thousands of daily records
generate semantic embeddings
and feed a growing knowledge graph used for personalised career pathway recommendations
Design and maintain three distinct processing pipelines — scheduled job ingestion
event-driven course processing
and a periodic knowledge graph builder — each with independent trigger logic and cost controls
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2)
index them in MongoDB Atlas Vector Search
and calibrate similarity thresholds to ensure match accuracy
Build and maintain a knowledge graph linking jobs
and industries using FP-Growth association rules and archetype-to-SOC code mapping
Build and improve a two-stage discovery and matching API on AWS Lambda — vector retrieval first
then deep eligibility scoring with LLM re-ranking
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption
keeping infrastructure costs under control as data volume scales
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines
How You'll Work.
Team & Collaboration
Communicate complex architecture clearly to both technical and non-technical stakeholders
Communication Scope
Communicate complex architecture clearly to both technical and non-technical stakeholders
Full Job Description
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT. SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner. We are currently looking to hire a junior Backend AI & Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee’s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform. Below are the important details you will need to take note of: * English is the primary language used in the role * This is a full-time remote/work-from-home position * We welcome both local and international candidates * Candidates should have a degree
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