What You’ll Build
- Design and deploy agentic workflows that can reason, plan, and execute tasks autonomously.
- Build and manage multi-agent systems that adapt and deliver outcomes efficiently.
- Architect and optimize Retrieval-Augmented Generation (RAG) systems for accuracy, speed, and reliability.
- Develop retrieval pipelines using vector databases, embeddings, and semantic search technologies.
- Integrate OpenAI, Claude, Gemini, and open-source LLMs into scalable production applications.
- Handle prompt engineering, context management, and response optimization at scale.
- Build end-to-end features across the stack using Node.js, TypeScript, and Next.js.
- Design and maintain APIs while supporting frontend integrations.
- Monitor and optimize latency, token consumption, system performance, and operational costs.
- Collaborate with product and design teams to translate user requirements into practical technical solutions.
- Drive innovation, efficiency, and value creation through AI-powered applications.
The Tech Stack You’ll Master
Core Frameworks:
- Mastra
- LangChain
- LlamaIndex
- Node.js
- TypeScript
- Next.js
AI & ML:
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source LLMs (Llama, Mistral, and others)
- Retrieval-Augmented Generation (RAG) architectures
- Vector databases
- Knowledge Graphs
- Embedding models
- Semantic search and reranking systems
Infrastructure:
- RESTful APIs
- WebSockets and real-time systems
- Cloud platforms (AWS, GCP, Azure)
- CI/CD pipelines
- Monitoring and observability tools
Bonus Tools:
- Fine-tuning frameworks
- Model evaluation pipelines
- Agentic orchestration platforms
What You Bring
Required:
- 4+ years of experience building production-grade software applications.
- Strong experience with LangChain, Mastra, LlamaIndex, or similar AI application frameworks.
- Proficiency in TypeScript and Node.js with a focus on scalable and maintainable code.
- Hands-on experience designing and optimizing RAG systems, embeddings, and retrieval pipelines.
- Strong understanding of agentic workflows, multi-agent systems, tool usage, and autonomous task execution.
- Experience designing and building RESTful APIs for production environments.
- Excellent problem-solving, debugging, and performance optimization skills.
Nice to Have:
- Experience with Next.js or modern React-based frameworks.
- Hands-on experience with model fine-tuning and evaluation.
- Background in Natural Language Processing (NLP), Machine Learning, or AI research.
- Contributions to open-source AI projects.
- Familiarity with vector databases and semantic search optimization.
