Mind Maze
Indexed description
This is a high-impact role where you'll shape our AI architecture, mentor team members, and directly influence how our clients leverage AI for competitive advantage.
What You'll Do
- Design and implement autonomous AI agent systems using LangChain, AutoGen, and custom frameworks
- Build RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search
- Architect multi-agent collaboration systems that coordinate complex workflows
- Integrate with LLM APIs (OpenAI, Anthropic, Google) and optimize for cost and performance
- Mentor junior engineers and establish AI development best practices
- Collaborate with product and design teams to translate business needs into AI solutions
- Stay current with emerging AI technologies and evaluate their practical applications
- 5+ years of software engineering experience with 2+ years focused on AI/ML
- Deep understanding of LLMs, prompt engineering, and AI agent frameworks
- Production experience with Python and modern AI/ML libraries (LangChain, Transformers, etc.)
- Strong grasp of vector databases (Pinecone, Weaviate, Qdrant) and semantic search
- Experience with cloud platforms (AWS, Azure, GCP) and containerization
- Excellent problem-solving skills and ability to architect scalable systems
- Strong communication skills and experience working with cross-functional teams
- Experience with multi-agent systems and agent orchestration
- Contributions to open-source AI projects
- Background in NLP or computer vision
- Experience building B2B SaaS products
- Publications or conference talks on AI topics
PythonTypeScriptLangChainAutoGenOpenAI APIAnthropic ClaudePineconePostgreSQLAWSDockerNext.jsReact
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