Python / AI Solutions Full-Stack Developer

 

Role Overview

We are looking for a creative, hands-on Python / AI Solutions Full-Stack Developer to help design, build, and deploy AI-powered solutions for customers. This person will work across the full delivery lifecycle: understanding customer needs, designing technical approaches, building Python services and full-stack applications, integrating with third-party systems, and delivering reliable solutions that create measurable business value.

The ideal candidate is comfortable moving quickly in a small team, thinking creatively through ambiguous problems, and connecting AI capabilities with real-world systems through APIs, MCP, data workflows, and modern application development.

Key Responsibilities

• Design, develop, and deploy Python-based AI applications, automation workflows, and customer-specific software solutions.
• Build full-stack applications, including backend services, frontend interfaces, databases, authentication flows, and deployment pipelines.
• Create, consume, and maintain APIs, including REST, GraphQL, webhooks, SDK-based integrations, and enterprise authentication patterns such as OAuth.
• Develop and integrate Model Context Protocol (MCP) servers, tools, resources, and client workflows that connect AI systems with external applications and data sources.
• Translate customer requirements into practical technical designs, prototypes, proofs of concept, and production-ready implementations.
• Integrate AI solutions with customer systems such as CRMs, ERPs, ticketing platforms, data warehouses, collaboration tools, and custom internal applications.
• Work with LLMs, agentic workflows, retrieval-augmented generation, structured outputs, prompt orchestration, and evaluation approaches where appropriate.
• Collaborate closely with product, engineering, customer success, and leadership in a small-team environment where ownership and flexibility matter.
• Write clean, maintainable, well-tested code and contribute to reusable components, integration patterns, and internal technical standards.
• Participate in customer demos, technical discovery conversations, solution reviews, and post-deployment support as needed.

Required Qualifications

• Strong professional experience with Python and modern backend frameworks such as FastAPI, Flask, or Django.
• Full-stack development experience, including JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, or similar.
• Proficiency designing and integrating APIs, including authentication, authorization, pagination, rate limits, error handling, and observability.
• Hands-on experience with MCP or comparable tool/plugin protocols used to connect AI assistants, agents, and applications to external systems.
• Experience building AI-enabled applications using LLM APIs, orchestration frameworks, vector databases, RAG patterns, or agent-based workflows.
• Solid understanding of databases, including SQL and at least one NoSQL or search/vector-oriented data store.
• Experience with Git, Docker, automated testing, CI/CD concepts, and deploying applications to cloud or cloud-adjacent environments.
• Ability to break down ambiguous customer problems and propose creative, practical technical solutions.
• Strong communication skills and comfort explaining technical tradeoffs to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, Digital Ocean, or Google Cloud, especially serverless, containerized, or managed AI services.
• Experience with AI platforms and tooling such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, semantic search, embeddings, or evaluation frameworks.
• Background integrating with common business platforms such as Salesforce, HubSpot, ServiceNow, Jira, Confluence, Slack, Microsoft 365, Google Workspace, or custom enterprise systems.
• Experience with data engineering, ETL/ELT, workflow automation, event-driven systems, or queue-based architectures.
• Familiarity with security, privacy, and governance considerations for customer-facing AI solutions.
• Consulting, agency, startup, or customer-facing software delivery experience.

What Makes Someone Successful in This Role

• Creative problem-solver who can move from idea to prototype to production without needing a large team around them.
• Systems thinker who understands how APIs, data, user experience, and AI capabilities fit together.
• Comfortable with ambiguity, changing requirements, and fast iteration based on customer feedback.
• Pragmatic builder who balances innovation with reliability, maintainability, security, and cost.
• Collaborative teammate who communicates openly, shares context, and helps raise the technical bar for the team.

Representative Technology Stack

Python, FastAPI/Flask/Django, JavaScript/TypeScript, React/Next.js, REST/GraphQL APIs, MCP, Docker, Git, SQL, NoSQL, vector databases, LLM APIs, cloud services, CI/CD, and modern integration tooling.

Working Style

This is a hands-on role in a small team. The right person will be expected to contribute across architecture, coding, integration, troubleshooting, customer communication, and delivery. They should enjoy building useful AI solutions in the real world, where creativity, technical judgment, and follow-through matter as much as raw coding ability.