Backend Engineer, AI & Data Pipeline

Backend EngineerSoftware EngineerInternshipRemoteJuniorTeam 11-50Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Pakistan

Posted

73 days ago

Salary

0

Seniority

Junior

Bachelor Degree1 yr expEnglishAWSMongoDBPandasPython

Job Description

Backend Engineer, AI & Data Pipeline

SEEKA Technologies - Hiring Now

• 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, 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 — 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

Job 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

Benefits

  • You can work from home for the whole internship period
  • A reference letter can be requested upon completion of internship
  • A bit of flexibility with working time aside from the usual 9am to 6pm (Ex. 8am to 5pm / 7:30am to 4:30pm)
  • The possibility of retainment for part-time or Full-time work post-internship based on your performance, even if you are not based in Malaysia

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