Full-Stack AI Product Engineer
About The Position
The Full-Stack AI Product Engineer is a newly created role who will design, build, and scale AI-powered products, internal tools, SaaS-like platforms, automation systems, and AI agents. This is a hands-on engineering role for someone who can work across the full stack while also building practical AI solutions using LLMs, agents, APIs, data, and cloud technologies. The ideal candidate can take a business problem, define the technical approach, build the front-end and back-end, integrate AI capabilities, connect data sources, deploy the solution, and improve it based on user feedback. This is not a conceptual AI role. Hands-on AI development experience is mandatory. Candidates must have experience building AI-powered applications, agents, RAG systems, LLM-integrated workflows, or similar products.
Requirements
- 4+ years of professional software development experience.
- Strong full-stack development experience.
- Proven experience building web applications from front-end to back-end.
- Hands-on AI development experience is required.
- Experience building AI-powered applications, assistants, agents, RAG systems, or LLM-integrated tools.
- Experience working with LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar.
- Experience with React, Next.js, TypeScript, JavaScript, or similar front-end technologies.
- Experience with Python and/or Node.js.
- Experience building APIs, back-end services, databases, and integrations.
- Experience with authentication, permissions, secure application design, and data handling.
- Experience deploying applications to cloud or managed hosting environments.
- Ability to work independently and turn ambiguous business needs into working products.
- Strong communication, documentation, and problem-solving skills.
Nice To Haves
- Experience with AI agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK, or similar.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, pgvector, or Elasticsearch.
- Experience with cloud platforms such as AWS, Azure, GCP, Vercel, Firebase, Supabase, or similar.
- Experience building SaaS products, internal enterprise tools, dashboards, or workflow automation platforms.
- Experience with marketing technology, CRM, e-commerce, CMS, analytics, personalization, or data platforms.
- Experience with AI evaluation, monitoring, cost optimization, and responsible AI practices.
- Experience building products for non-technical business users.
Responsibilities
- Design, develop, test, and deploy full-stack web applications, internal tools, and AI-enabled platforms.
- Build front-end interfaces using modern frameworks such as React, Next.js, TypeScript, or similar.
- Develop back-end services, APIs, databases, authentication flows, and business logic using Python, Node.js, or similar technologies.
- Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar platforms.
- Build AI assistants, copilots, agents, automation workflows, and data-connected AI tools.
- Develop RAG-based solutions using company documents, structured data, product information, campaign data, or knowledge bases.
- Implement tool calling, function calling, structured outputs, human-in-the-loop workflows, and AI workflow orchestration.
- Connect applications with APIs, databases, analytics platforms, CRM, CMS, cloud services, and third-party tools.
- Deploy applications in secure, scalable cloud or managed environments.
- Apply AI governance best practices, including data privacy, access control, output validation, logging, guardrails, and responsible AI usage.
- Translate business needs into MVPs, prototypes, and production-ready products.
- Collaborate with digital, data, CRM, e-commerce, UX/UI, analytics, creative, and business teams.
- Document technical architecture, product functionality, and development decisions.
Benefits
- Fixed-term contract for one (1) year, with the possibility of extension
- Hybrid work model (3 days in-office, 2 days work-from-home)
- Possibility of being in office 5 days a week during business requirements, needs, client deadlines
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
