Pear VC

Founding Software Engineer - Bridge Health AI

Chicago, Illinois, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Enterprise SoftwareIndustries

Requirements

Candidates should have 2-5 years of experience in full stack product engineering with strong competencies in both backend and frontend development. Proficiency in Node.js, Python, or similar backend frameworks, and React.js for frontend development is required. Practical experience in AI/ML integration, with hands-on knowledge of deploying LLMs or machine learning models is necessary. A strong understanding of relational and non-relational databases such as PostgreSQL and MongoDB is essential. Experience building and managing CI/CD pipelines and deploying applications on cloud platforms like AWS, Azure, or Vercel is expected. Proficiency in unit, integration, and end-to-end testing to ensure product reliability and performance is important. Candidates must have the ability to translate business requirements into scalable technical solutions with a focus on continuous improvement and customer impact.

Responsibilities

The Founding Software Engineer will build, test, deploy, and maintain high-quality software applications to ensure scalability, reliability, and efficiency across the platform. They will design and implement robust backend systems using Node.js, Python, or similar frameworks, integrating data and AI features. The engineer will develop interactive and responsive web applications using React.js and Next.js, ensuring smooth and intuitive user experiences. They will implement machine learning models and LLMs to automate workflows, enhance personalization, and improve platform functionality. Additionally, they will manage relational and non-relational databases to ensure seamless data flow between components, create APIs, and integrate third-party services to enhance platform capabilities. The engineer will develop unit, integration, and end-to-end tests to ensure code quality, oversee CI/CD pipelines, release management, and cloud deployment, and implement logging, monitoring, and alerting to quickly identify and resolve issues post-deployment.

Skills

Node.js
Python
React.js
Next.js
PostgreSQL
MongoDB
AWS
Azure
Vercel
CI/CD
LLMs
Machine Learning

Pear VC

Venture capital firm for early-stage startups

About Pear VC

Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.

Key Metrics

San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees

Risks

Increased competition from other VC firms in AI and biotech sectors.
Potential overvaluation of startups could lead to investment losses.
Regulatory challenges in biotech and healthcare may impact growth strategies.

Differentiation

Pear VC specializes in pre-seed and seed investments across diverse sectors.
The firm offers hands-on strategic advice and operational support to startups.
Pear VC focuses on innovation in AI, fintech, SaaS, healthcare, and deep tech.

Upsides

Growing interest in AI-driven healthcare solutions presents new investment opportunities.
Rising demand for cell engineering platforms suggests lucrative biotech investments.
Fitness tech startups focusing on community building are gaining traction.

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