SEEKA Technologies - Hiring Now

Backend AI, Data Pipeline Engineer

SEEKA Technologies - Hiring Now

full-time

Posted on:

Location Type: Remote

Location: Pakistan

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Job Level

Junior

Tech Stack

AWSMongoDBPandasPython

About the role

  • 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
  • Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds
  • Build and maintain a knowledge graph linking jobs, courses, skills, 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
  • Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines

Requirements

  • 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
  • Strong Python skills — Pandas, async processing, bulk database operations, and text cleaning
  • Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus
  • 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
  • Nice to have: Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)
  • Nice to have: Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results
  • Background in edtech, jobtech, or recommendation/matching systems
  • Degree or existing proven experience
Benefits
  • Fully remote / work-from-home role
  • Flexible working hours within the team’s expected schedule and business needs
  • Opportunity to work on real backend, data, and AI infrastructure projects
  • Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems
  • Ongoing growth and development within a fast-moving technology environment
  • Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time
  • Some flexibility in working hours, depending on team requirements and deliverables
  • Hands-on experience working on meaningful backend, data pipeline, and AI-related systems
  • Opportunity to contribute to a growing platform with real product and engineering challenges
  • Professional growth in a practical, fast-paced environment
  • Strong potential for long-term progression based on performance, regardless of location
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data processingevent-driven pipelinessemantic embeddingsknowledge graphFP-GrowthAWS LambdaPythonPandasMongoDB Atlas Vector SearchHTML cleaning
Soft Skills
communicationdocumentationarchitecture claritycost-conscious mindset