Engineering Lead - FlowGen Labs at Pear VC

San Francisco, California, United States

Pear VC Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Enterprise Software, Developer ToolsIndustries

Requirements

  • Depth in building secure, scalable cloud systems (AWS/Azure) across networking, autoscaling, multi-tenant patterns
  • Proficiency with Infrastructure as Code using Terraform or CDK
  • Strong observability with metrics, tracing, logs, and SLOs
  • Strong Node.js and TypeScript for APIs and services
  • Proficiency with Postgres and experience with vector databases (e.g., pgvector, Pinecone, Milvus) for retrieval and semantic search
  • Experience orchestrating agentic workflows and retrieval augmented generation (familiarity with LangGraph a plus)
  • Solid engineering practices: CI/CD with GitHub Actions or GitLab CI, automated testing, code reviews, trunk-based development
  • Comfortable with Docker and modern release management
  • Hands-on use of AI tools with clear ideas for applying AI to development, testing, data, and support
  • Ownership mentality, crisp communication, comfortable deciding with 80% information
  • Move fast without breaking things, not afraid to learn new stacks, "we will figure it out" attitude
  • In-person availability in San Francisco Bay Area (visa support/sponsorship available)

Responsibilities

  • Define architecture, standards, and deliver solutions end-to-end
  • Lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems
  • Own quality and reliability of solutions
  • Blend core platform design in cloud data and application architecture with hands-on, customer-facing delivery

Skills

Node.js
TypeScript
Postgres
Terraform
CDK
AWS
Azure
Docker
GitHub Actions
pgvector
Pinecone
Milvus
LangGraph

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.

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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