About the role

Aplyr's Quick Take

This role is for an AI/ML Engineer focused on building and maintaining large language model (LLM) systems and workflows. You'll be hands-on with production-grade pipelines, working with vector databases and integrating AI features into data systems. It's an individual contributor role in a small, senior engineering team.

Good fit

Ideal candidates have 3-5 years of experience in AI/ML engineering, specifically with LLM systems. Strong Python skills and a portfolio of relevant work are essential, along with a preference for those who thrive in a collaborative, in-office environment.

Worth noting

The company is in the early stages of building its engineering team and requires a minimum of 4 days in the office, which may not suit everyone. They also do not offer visa sponsorship, limiting applicants to those already authorized to work in the US.

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.

We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.

Location: San Francisco, SoMa — minimum 4 days per week in-office.

What you'll do

• Build and maintain production-grade LLM pipelines and agentic workflows.

• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.

• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.

• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.

• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.

What we require

• BS/MS in Computer Science, Machine Learning, or related field.

• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.

• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.

• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.

• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Skills & Tags

python go aws gcp kubernetes docker machine learning ai

Aplyr's read

HopHR is a tech-driven company enhancing workplace productivity with innovative solutions, attracting talent in AI, data science, and product management.
Synthesized from recent postings & public sources

What's promising

•Focuses on cutting-edge AI and data science roles, indicating a forward-thinking approach.
•Diverse roles in pharma and technology suggest a multidisciplinary work environment.
•Strong emphasis on innovation with positions like AI Architect and Agentic Models Engineer.

What to watch

•Limited public information about company culture and employee satisfaction.
•Potentially high-pressure environment due to focus on rapid tech innovation.
•Heavy focus on tech roles may limit opportunities for non-technical professionals.

Why HopHR

•Specializes in enhancing productivity through tech solutions, setting it apart from generic tech firms.
•Offers niche roles in pharma analytics, blending healthcare and technology.
•Emphasizes AI and data partnerships, showcasing a commitment to cutting-edge tech integration.

Aplyr’s read is generated by AI from public sources. Was it useful?