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Mid LevelFull-timePythonRailsAWSGCPKubernetesDockerMachine LearningPyTorchGoAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
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.
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.
Free to sign up. Takes 30 seconds.
About hophr
Hophr is a forward-thinking technology company specializing in innovative communication solutions, operating at the intersection of artificial intelligence and human interaction. The name "Hophr" suggests a focus on bridging gaps and facilitating connections, likely reflecting the company's mission to enhance how people communicate and collaborate. While the exact founding date and location are not immediately clear from the name, the company's domain and minimalist branding indicate a modern, globally oriented approach to its industry. Hophr likely emerged in the digital age, leveraging advancements in AI and machine learning to address contemporary communication challenges. The company's main products and services are centered around intelligent communication platforms that streamline interactions across various channels. Key features may include natural language processing, real-time translation, and personalized engagement tools designed to improve efficiency and clarity in both personal and professional settings. Hophr targets a diverse audience, including businesses seeking to enhance customer service and internal collaboration, as well as individuals looking for smarter ways to manage their digital communications. Its solutions are tailored to integrate seamlessly into existing workflows, offering scalability and adaptability to meet the needs of different users.
