Permhunt
Lead Full Stack Developer
Remote Lead Full Stack Developer role with clear candidate location fit.
PostedJun 18, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
USA
Role overview
Lead Full Stack Developer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
What You'll Do
- Lead development of full-stack systems using Python and modern frontend frameworks such as React or Angular
- Design, build, and ship AI-powered product features using LLMs, RAG, embeddings, agents, and AI APIs
- Architect scalable backend services, APIs, data flows, and distributed systems
- Make key technical decisions around system design, architecture, tooling, cloud infrastructure, and AI model usage
- Build reliable integrations with third-party platforms, AI providers, social media tools, and internal product systems
- Improve performance, security, observability, scalability, and reliability across the platform
- Oversee cloud infrastructure across AWS, Azure, or GCP
- Guide engineers on best practices across code quality, architecture, testing, reviews, and delivery
- Help the team adopt AI-assisted development workflows to improve speed, quality, and productivity
- Work closely with the founder and product team to turn ideas into production-ready features quickly
What We're Looking For
- 5+ years of full-stack software engineering experience
- Previous experience leading technical decisions, mentoring engineers, or owning major product areas
- Strong backend experience with Python, ideally using Django, FastAPI, Flask, or similar
- Strong frontend experience with TypeScript and React or Angular
- Proven experience building and scaling APIs, backend services, and production-grade systems
- Experience with cloud platforms such as AWS, Azure, or GCP
- Strong database experience across SQL and/or NoSQL systems
- Experience shipping AI-enabled features into real applications, not just prototypes
- Strong product mindset and ability to balance speed, quality, scalability, and user impact
AI Experience
- Experience integrating AI APIs into real, production-grade applications
- Familiarity with RAG, embeddings, vector search, agents, or similar AI application patterns
- Comfortable using AI development tools to improve speed, code quality, testing, and delivery workflows
- Understanding of common AI limitations and risks, including hallucinations, latency, cost, accuracy, data privacy, and reliability
- Ability to think beyond simple API integration and help design practical AI-powered product features that create real user value
Nice to haves
- Experience with model tuning, prompt optimization, or open-source AI tools
- Exposure to AI monitoring, evaluation, observability, or analytics tools
- Experience building AI features for marketing, content creation, automation, or social media platforms
Working Conditions
- Remote work setup
- Independent contractor engagement
- US working hours
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