Full Stack AI Engineer

Candidate Requirement:

• Candidate must have prior experience working at an early-stage startup.

• Candidate should have strong full-stack experience across frontend, backend, databases, APIs, cloud infrastructure, and production deployments.

• Candidate must have practical experience building AI-powered products. API experimentation, personal projects, coursework, or basic chatbot integrations alone will not qualify.

• Strong candidates will have experience with AI agents, LLM integrations, RAG, model tool calling, multimodal AI, voice AI, evaluations, or real-time AI systems.

About the Role:

Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the company’s technical foundation.

The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build.

Responsibilities:

• Build, test, launch, and improve full-stack products from zero to one

• Develop modern frontend applications using React, Next.js, or similar technologies

• Build backend services, APIs, databases, and third-party integrations

• Create AI-powered features using large language models and multimodal models

• Build AI agents that can use tools, complete workflows, and interact with external systems

• Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems

• Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems

• Implement structured outputs, tool calling, model routing, and human approval workflows

• Build evaluation, monitoring, and testing systems for AI performance

• Improve application reliability, scalability, security, latency, and AI inference costs

• Work directly with founders, users, and product stakeholders

• Help make product, architecture, and technology decisions

Qualifications:

• 4 or more years of professional software engineering experience

• Proven experience building and launching a product from zero to one

• Prior experience working at an early-stage startup

• Strong experience across frontend and backend development

• Strong skills in TypeScript, JavaScript, React, and Next.js

• Backend experience with Node.js, Python, FastAPI, Go, or similar technologies

• Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments

• Hands-on experience integrating large language models into production applications

• Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI

• Strong product judgment and the ability to operate with limited direction

• Ability to move quickly while maintaining high engineering standards

• Must be actively hands-on and writing production code

Preferred Experience:

• OpenAI, Anthropic, Gemini, or open-source AI models

• Model Context Protocol and agent orchestration frameworks

• Lang Graph, Llama Index, Vercel AI SDK, or similar tools

• Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector

• Voice AI, WebSocket''s, WebRTC, or real-time streaming systems

• AI evaluations, observability, prompt injection protection, and model security

• Docker, AWS, Google Cloud, Azure, or serverless infrastructure

• Experience as an early, founding, or first engineering hire

Know anyone who might be interested?
Kindly let me know if you have any Suitable Candidates available for this opportunity.
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