SEEKA Technologies - Hiring Now
11 - 50 employees
Founded 2017
🌐 Web 3
Web 3
SEEKA Technologies - Hiring Now appears to be offering web domain sales or related web services, as suggested by the text provided. The content seems to include design elements and gradients related to a website layout, with mentions of purchasing a domain. However, substantial details about the core business or its specific services are not provided.
Backend Engineer, AI & Data Pipeline
Job not on LinkedIn
🕒 May 12
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
SEEKA Technologies - Hiring Now
11 - 50 employees
Founded 2017
🌐 Web 3
Web 3
SEEKA Technologies - Hiring Now appears to be offering web domain sales or related web services, as suggested by the text provided. The content seems to include design elements and gradients related to a website layout, with mentions of purchasing a domain. However, substantial details about the core business or its specific services are not provided.
📋 Description
• 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
🎯 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 • Degree or existing proven experience
🏖️ Benefits
• Fully remote / work-from-home position • 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
Apply Now
