hackajob Tech Stack
AI recruiting agent matching jobseekers and companies with explainable recommendations
hackajob builds Archer, an AI recruiting agent designed to match jobseekers with roles and help companies source high-fit candidates before they reach the ATS. The tech stack—Java, Python, React, Elasticsearch, AWS, Kubernetes—reflects a dual consumer and B2B platform. Heavy investment in AI model optimization (LLM observability tools like Langfuse and LangSmith), plus active hiring across ML, data, and security roles, signals focus on model quality and compliance; simultaneously replacing Ruby on Rails and investing in Rust and Go suggests a shift toward performance-critical infrastructure.
Tech Stack 200 technologies
What hackajob Is Building
◆Challenges
- Security compliance
- Managing risk
- Risk mitigation
- Process inefficiencies
- Maintaining consistency and reliability across benchmarks
- Identifying ai vulnerabilities
- Streamlining processes
- Identifying opportunities
- Compliance with data regulations
- Improving delivery speed
▲Active Projects
- Ai performance optimization
- Pipeline engine development
- Design questions for ai training
- Fraud detection
- Train ai models
- Infrastructure platform development
- Incident response
- Scalable ml pipelines
- Next-generation fp&a platform
- Benchmarking and improving model performance and training speed across real ml workloads
Hiring Activity
Department
Seniority
Notable leadership hires: Cyber Threat Lead, Product Strategy Lead, Engineering Lead, QA Lead, M&A Assistant Director
