AI/ML Engineer
3 days ago
Job Title: AI/ML Engineer (Cloudflare Workers AI, Vector Search, GenAI)
About Us
We are building a next-generation AI-powered Applicant Tracking System (ATS)
that transforms how companies match candidates to jobs. Our platform leverages
AI/ML, Generative AI, and vector search
to deliver smart, scalable recruiting solutions.
Role Overview
We are looking for a full-time AI/ML Engineer (0–5 years experience)
to join our core team. You'll help design and implement
embedding pipelines, vector search, and hybrid scoring
using modern cloud technologies like
Cloudflare Workers AI, Cloudflare Vectorize, Elasticsearch, and MySQL
.
This is an exciting role for someone early in their career who wants to work on
real AI/ML systems at scale
and grow quickly in a hands-on environment.
Responsibilities
- Implement and optimize
embedding generation
using
Cloudflare Workers AI
and other GenAI models. - Build pipelines to
store and query vectors
in Cloudflare Vectorize. - Work with
Elasticsearch 8
for hybrid search (vector + keyword + business rules). - Design
matching and scoring logic
for candidate job pipelines and persist results in MySQL. - Monitor costs and performance; add
guardrails for AI usage
. - Collaborate with product and engineering teams to deliver features on tight timelines.
- Document processes and contribute to scaling our AI/ML infrastructure.
Requirements
- 0–5 years of experience in software development or applied ML/AI.
- Familiarity with at least one programming language:
Python
or
. - Knowledge of
AI/ML fundamentals
(embeddings, vector search, semantic similarity). - Exposure to
GenAI models
and API-driven inference (OpenAI, Hugging Face, Cloudflare Workers AI, etc.). - Understanding of
databases
(SQL/NoSQL) and
REST APIs
. - Strong problem-solving mindset and eagerness to learn new technologies.
Nice to Have
- Experience with
Cloudflare Workers, Wrangler CLI, KV, Queues, or D1
. - Hands-on with
Elasticsearch/OpenSearch
. - Academic or project work in
NLP, information retrieval, or recommender systems
. - Familiarity with DevOps basics (Git, CI/CD, Docker).
What We Offer
- Chance to work on cutting-edge
AI/ML + GenAI
systems from day one. - Exposure to
end-to-end product engineering
in a startup environment. - Mentorship and growth opportunities.
- Competitive compensation based on experience.
- A role where you directly shape how AI transforms recruiting.
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