AI Engineer

Job not on LinkedIn

🕒 July 13

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Apricot

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

Apricot is a a non profit sourcing firm working with displaced and underserved talent from MENA.

📋 Description

• This is a remote position. • We are seeking an Intermediate/Senior AI Engineer to join our remote team in building cutting-edge clinical reasoning systems that transform how healthcare decisions are made. • As part of a mission-driven startup, you will contribute to developing explainable, evidence-backed AI pipelines that integrate patient data, medical knowledge, and contextual reasoning to deliver transparent, trustworthy clinical insights. • This role is ideal for a technically strong engineer passionate about leveraging AI to solve real-world healthcare challenges, with a focus on transparency, scalability, and impact. • You will work closely with cross-functional teams to design, implement, and optimize AI systems that are both scientifically rigorous and clinically relevant.

🎯 Requirements

• Advanced degree in Data Science, Computer Science, Bioengineering, Computational - Mathematics/ Physics/ Chemistry/ Biology, or a related field. • Preference will be given to candidates with 2–3 years of industry experience in similar AI/ ML roles. • Experience in using the latest AI coding platforms like Claude/Claude Code and proficient at development using these tools • Experience with RAG pipelines, embeddings, vector databases, and prompt optimization. • Strong Python development skills, including modular code, debugging, and version control. • Understanding of quantization, model sharding, distributed inference/training. • Basic understanding of software architectures • Experience with REST/gRPC APIs and backend integration. • Familiarity with asyncio and parallelization strategies. • Docker-based workflows and cloud-native concepts. • System design knowledge for scalable AI pipelines. • Good understanding of basic statistics up to hypothesis testing.

🏖️ Benefits

• You will work in a high-impact, fast-paced environment solving complex healthcare AI problems. • You will collaborate with a multidisciplinary team and work on state-of-the-art technologies including LLMs, knowledge graphs, and clinical reasoning systems. • The role offers significant ownership and opportunities for professional growth. • Here is a chance to make a mark in the healthcare space by solving the 'black box' problem in healthcare AI by building systems where every clinical recommendation is backed by a traceable, evidence-based reasoning path.