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Open nowPosted 266 days ago

Applied AI Engineer

PhaseV11 open roles

Where
Dereck Ha'SHalom St 4
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Your applicationOpen nowApplied AI EngineerPhaseV · Dereck Ha'SHalom St 4

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PhaseV's own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. PhaseV postings stay open a median of 34 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 266 days ago

PhaseV median: 34 days open

The posting

Position Overview

PhaseV is a technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform. With over $65M raised from top investors, we are poised to make a significant impact on how drugs are developed and brought to market - ultimately helping effective treatments reach patients faster.

We are seeking a talented and driven Applied AI Engineer to join our team. This is a unique opportunity to have a direct and real-world impact using AI by helping redefine how clinical trials are designed, optimized, and run. As an Applied AI Engineer, you will also join a high-caliber, multidisciplinary, cross-functional team spanning engineering, data science, and product.

This role sits at the intersection of applied AI and product development, with a strong focus on building, deploying, and supporting production-grade AI systems that operate at scale. The ideal candidate will have a strong foundation in NLP and LLMs alongside proven experience building AI-powered services.

Key Responsibilities

Technical Development:

  • Build and maintain scalable, production-grade generative AI pipelines that integrate updating unstructured and structured data.
  • Research and develop robust agentic systems to solve complex clinical problems.
  • Develop evaluation frameworks for AI systems in clinical contexts.
  • Optimize representation and retrieval strategies to support explainable outputs.
  • Contribute to architectural decisions around AI services, APIs, and model orchestration frameworks.

Research & Analysis:

  • Stay up-to-date with the latest developments in AI, machine learning, and related fields, exploring how emerging technologies can be applied to improve products and services.
  • Document and present methodologies and results for internal and external stakeholders.

Collaboration:

  • Work cross-functionally with engineering, data science, and product teams.
  • Contribute to technical discussions and peer code reviews.
  • Support the preparation of technical documentation and research papers.

Qualifications

Education:

  • Master's in Computer Science, Data Science, Engineering or a related field
  • Ph.D. is an advantage but not required

Experience:

  • Strong understanding of NLP, LLMs, entity recognition, and evaluation techniques.
  • Experience designing and using embedding-based representations, including similarity search and retrieval workflows.
  • Hands-on experience building agentic workflows in production environments.
  • Proven experience working with unstructured data (e.g., free text, documents, notes) and applying techniques to transform it into structured formats.

Skills:

  • Strong programming skills in Python.
  • Ability to clearly communicate complex technical concepts.
  • Experience with data visualization.
  • Strong analytical and problem-solving skills.
  • Ability to work in a dynamic, fast-paced environment.

Preferred:

  • Experience in the healthcare or biotech industry.
  • Experience with clinical data.
  • Experience with large-scale data processing.
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