Fullstack Engineer (AI)

We are looking for a Full Stack AI Engineer who is comfortable working across backend systems, AI/LLM integration, and frontend applications. You will help build AI-powered workflows, conversational agents, and data pipelines that power PixieDust's Sales and Fulfillment Operating System. This role requires someone who enjoys working in a fast-moving startup environment, taking ownership of features from design to production deployment

The core responsibilities for the job include the following:

Build AI-driven Applications:

• Develop AI-powered workflows using LLMs and domain-specific models.
• Build conversational agents that interact with borrowers across the web, SMS, voice, and email.
• Implement prompt engineering, retrieval systems, and model orchestration.

Full Stack Development:

• Build scalable backend APIs and services.
• Develop user interfaces for internal operations and customer workflows.
• Integrate with external APIs and financial data platforms.

Data and AI Integration:

• Build pipelines that ingest and enrich business data.
• Implement systems using structured and unstructured data.
• Work with vector databases and knowledge retrieval systems.

System Architecture:

• Design scalable services using modern cloud infrastructure.
• Optimize system performance and reliability.
• Implement secure data handling practices.

Collaboration:

• Work closely with product, analytics, and AI teams.
• Participate in architecture discussions and technical design.
• Contribute to rapid prototyping and experimentation.

Requirements:

• 3-5 years experience in software engineering.
• Strong experience in Python and/or Node.js .
• Experience building backend APIs and microservices.
• Experience with React / Next.js / modern frontend frameworks.
• Familiarity with LLM APIs (OpenAI, Anthropic, etc. ).
• Experience with REST APIs and third-party integrations.
• Experience with SQL / NoSQL databases.
• Experience working with cloud platforms (AWS, GCP, or Azure).

Preferred Qualifications:

• Experience building AI applications using LLMs.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, FAISS).
• Experience with data pipelines and ETL workflows.
• Exposure to fintech, lending, or financial data systems.
• Experience with real-time communication platforms (Twilio, messaging APIs).

Tech Stack (What You'll Work With):

• Languages: Python, TypeScript, JavaScript.
• Frontend: React, Next.js .
• Backend: FastAPI / Node.js .
• AI Stack: LLM APIs, RAG pipelines, and embeddings.
• Databases: PostgreSQL, Redis, and Vector DBs.
• Infrastructure: AWS / GCP, Docker, Kubernetes.
• Integrations: Banking APIs, Data providers, and Messaging platforms.