AI Engineer With Dify
Join a dynamic AI-focused technology group committed to advancing health and well-being solutions through automation and scalable platforms. This remote, full-time role involves designing, implementing, and optimizing AI models with large language models (LLMs) using Dify or similar no-code platforms, alongside cross-functional collaboration to align AI applications with business needs. Compensation includes a base salary of USD $2,000/month plus performance incentives up to $500/month.
Candidates should have 2–5 years of AI/ML engineering experience, strong expertise in LLM development, and proficiency with no-code AI platforms (Dify preferred). Required skills include NLP, AI model optimization, cloud AI services (AWS, GCP, Azure), and effective communication of technical concepts. Experience in health tech and familiarity with agile methodologies are advantageous.
The company values an AI-first mindset, outcome-driven performance, and rapid, transparent hiring. Applicants will advance quickly, receiving interview details via email within minutes—prompt response is encouraged for swift progress.
About Us
We are an innovative AI-driven technology and services group dedicated to transforming health and well-being through cutting-edge solutions. With a strong focus on automation and scalable platforms, we leverage advanced technologies to deliver exceptional outcomes.
The Role
We are on the lookout for an AI/LLM Engineer with expertise in using Dify (or similar no-code platforms). In this role, you will work on designing, implementing, and optimizing AI models and applications that leverage large language models (LLMs) to create intelligent, interactive solutions. You will collaborate closely with product teams to ensure that the AI solutions align with business goals and user needs.
Key Responsibilities
- Design, implement, and fine-tune AI models that utilize LLMs for various applications.
- Develop and deploy no-code solutions using Dify, optimizing for performance and usability.
- Collaborate with stakeholders to gather requirements, define AI capabilities, and translate them into effective solutions.
- Integrate AI systems with existing platforms and services, ensuring seamless functionality.
- Monitor and maintain AI applications, ensuring they remain up-to-date and effective.
- Conduct research to keep abreast of the latest trends in AI and no-code development.
- Provide documentation, training, and support to internal teams on implemented AI solutions.
Skills and Qualifications
- 2–5 years of experience in AI/ML engineering, with a strong focus on LLM development.
- Proficiency with no-code platforms, specifically Dify, for building and deploying AI applications.
- Deep understanding of natural language processing (NLP) techniques and related frameworks.
- Experience with AI model development, training, and optimization.
- Familiarity with cloud-based AI services (AWS, GCP, Azure).
- Strong analytical and problem-solving skills, with attention to detail.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Familiarity with agile methodologies and remote collaboration tools.
- Experience working in health tech or related fields is a plus.
- Base Salary: USD $2,000 per month.
- Performance Incentives: USD $150– $500 per month tied to KPI over-performance.
Corporate Culture & Work Ethos
We foster a culture of innovation, performance, and purpose. Success is measured by outcomes, and we thrive in a fast-paced, AI-first environment. Transparency, collaboration, and high standards guide how we work, while our mission is to use technology for good, advancing health, well-being, education, and human performance.
Thank you for applying for this role. Once you submit your application, you will receive an email in less than two minutes with the next step. Please check your inbox (and spam/junk folder) and respond immediately so we can proceed with your application.
We aim to complete the hiring process within one week. Please check your email daily for updates, so we can move your application forward as quickly as possible.
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