Lead Full Stack Developer
TypeContract
LocationUnited States
Posted3 hours ago
Our client is a fast-growing, founder-led AI software company building a modern social media platform for businesses, creators, and agencies. The product helps users create, schedule, automate, and scale high-quality social content using AI-powered workflows.
This is a strong opportunity for an engineer who wants to work close to an experienced founder, build meaningful AI product features, and help shape the architecture of a growing platform rather than simply maintain another standard SaaS application.
About the Role
We're looking for a hands-on Lead Full Stack Engineer to help build and scale modern, AI-powered applications where LLMs, automation, agents, and intelligent workflows are core to the product.
You'll lead both technical direction and hands-on delivery, working across backend, frontend, cloud infrastructure, AI integrations, and product architecture. This role is ideal for someone who can think like a builder, move quickly, make smart engineering decisions, and help the team use AI to ship faster without compromising quality.
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 Have
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
Originally posted on Himalayas
This is a strong opportunity for an engineer who wants to work close to an experienced founder, build meaningful AI product features, and help shape the architecture of a growing platform rather than simply maintain another standard SaaS application.
About the Role
We're looking for a hands-on Lead Full Stack Engineer to help build and scale modern, AI-powered applications where LLMs, automation, agents, and intelligent workflows are core to the product.
You'll lead both technical direction and hands-on delivery, working across backend, frontend, cloud infrastructure, AI integrations, and product architecture. This role is ideal for someone who can think like a builder, move quickly, make smart engineering decisions, and help the team use AI to ship faster without compromising quality.
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 Have
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
Originally posted on Himalayas
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