Full Stack AI Developer (Founding Associate)

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

LexQuity is the world’s first AI-powered arbitration funding platform, enabling global funders to invest in high-value legal disputes listed by claimants or their law firms. The platform transforms arbitration claims into an alternative asset class, utilizing AI analytics and legal enforceability. Funders can assess risks using predictive tools and engage in secure negotiations with claimants. LexQuity bridges the capital-access gap by making legal disputes transparent, assessable, and fundable at scale. NGOs and NPOs can list eligible claims with zero commission, promoting access to justice.


Check out this link for more information about the platform: https://lexquity.lovable.app/

Check out this link for the final version of the platform: https://tinyurl.com/FigmaLexQuity


Role Description

This is an online role for a Full Stack AI Developer. The Full Stack AI Developer will be responsible for designing, developing, and maintaining both front-end and back-end components of the platform. Day-to-day tasks include coding, testing, and integrating AI-driven features, collaborating with the team to implement software solutions, and ensuring the overall functionality and optimization of the platform.


Remuneration

This is an offical onboarding as a "Founding Associate" at LexQuity, solely on the basis of equity.


Qualifications

  • Looking forward to working in a startup and take ownership
  • Experience in Back-End Web Development, Full-Stack Development, and Software Development skills
  • Knowledge of Front-End Development and Cascading Style Sheets (CSS)
  • Proficiency in AI and machine learning frameworks including experience with Agentic AI
  • Excellent problem-solving and analytical skills
  • Ability to work collaboratively in a team environment
  • Experience in the legal or arbitration sector is a plus
  • Bachelor’s degree in Computer Science, Engineering, or a related field

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