KM
Software Engineer
Accepting applicationsKova Mind · Miami Beach, FL
Full-Time Entry AIPythonaiaterf
Posted
1d ago
Category
Manufacturing
Experience
Entry
Country
United States
Company Description
The Role
You'll be the technical lead across our product portfolio — owning architecture, writing production code, and setting the engineering standard. This is a builder's seat, not a manager's. You'll work directly with the founder, ship into production weekly, and help define how AI agents are woven into every product we make.
What You'll Do
Architect and build full-stack systems across multiple products (Next.js, Node.js, Python, PostgreSQL, vector stores)
Design multi-agent AI pipelines using Claude, LangChain, and local inference (we run our own GPU infrastructure)
Own production deployments end-to-end — Cloudflare, Vercel, hosting, monitoring, SEO
Make hard architectural calls and document them (no guessing, no "we'll figure it out later")
Lead future engineering hires and set the bar for code quality
Move between codebases without losing context — accounting one day, cannabis the next, scouting the day after
What You Bring
Proven ability to build and ship production web applications end-to-end (frontend, backend, infra)
Deep comfort with modern React/Next.js, Node, and Python
Real experience integrating LLMs into products — not just calling an API, but building agentic systems, RAG pipelines, memory architectures
Strong opinions about clean architecture and the discipline to keep things simple
Self-direction. You can take a one-line problem statement and come back with a plan
Comfort with ambiguity and multiple concurrent projects
We don't care where you went to school or how many years you've been doing this. Show us what you've built.
Bonus Points
Worked with multi-agent frameworks (LangGraph, CrewAI, custom)
Vector DB experience (Qdrant, Pinecone, LanceDB)
Local model hosting (llama.cpp, vLLM, Ollama)
Built or shipped on Claude Code, Cursor, or similar AI-augmented dev workflows
Background in any of: accounting/fintech, cannabis tech, sports analytics, hospitality software
Compensation: Prove It, Earn It, Own It
We don't believe in inflated salaries for unproven contributions. Our structure has three stages:
Prove It — Paid trial period with clear deliverables. We both decide if it's a fit.
Earn It — Competitive base + performance milestones tied to shipped work.
Show more Show less
The Role
You'll be the technical lead across our product portfolio — owning architecture, writing production code, and setting the engineering standard. This is a builder's seat, not a manager's. You'll work directly with the founder, ship into production weekly, and help define how AI agents are woven into every product we make.
What You'll Do
Architect and build full-stack systems across multiple products (Next.js, Node.js, Python, PostgreSQL, vector stores)
Design multi-agent AI pipelines using Claude, LangChain, and local inference (we run our own GPU infrastructure)
Own production deployments end-to-end — Cloudflare, Vercel, hosting, monitoring, SEO
Make hard architectural calls and document them (no guessing, no "we'll figure it out later")
Lead future engineering hires and set the bar for code quality
Move between codebases without losing context — accounting one day, cannabis the next, scouting the day after
What You Bring
Proven ability to build and ship production web applications end-to-end (frontend, backend, infra)
Deep comfort with modern React/Next.js, Node, and Python
Real experience integrating LLMs into products — not just calling an API, but building agentic systems, RAG pipelines, memory architectures
Strong opinions about clean architecture and the discipline to keep things simple
Self-direction. You can take a one-line problem statement and come back with a plan
Comfort with ambiguity and multiple concurrent projects
We don't care where you went to school or how many years you've been doing this. Show us what you've built.
Bonus Points
Worked with multi-agent frameworks (LangGraph, CrewAI, custom)
Vector DB experience (Qdrant, Pinecone, LanceDB)
Local model hosting (llama.cpp, vLLM, Ollama)
Built or shipped on Claude Code, Cursor, or similar AI-augmented dev workflows
Background in any of: accounting/fintech, cannabis tech, sports analytics, hospitality software
Compensation: Prove It, Earn It, Own It
We don't believe in inflated salaries for unproven contributions. Our structure has three stages:
Prove It — Paid trial period with clear deliverables. We both decide if it's a fit.
Earn It — Competitive base + performance milestones tied to shipped work.
Show more Show less
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