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Beem - Principal Artificial Intelligence Engineer - LLM
1 month ago
Exceptional, innovative engineers with expertise leveraging AI and LLM to build large-scale platforms, preferably with experience building AI agentic frameworks. You'll be passionate about building intelligent systems that deliver delightful user experiences, clear about doing the right thing, and hungry to impact millions of lives through AI-powered financial solutions. Passionate about delightful user experiences, clear about doing the right thing, and hungry to impact millions of lives.
Responsibilities :
- Designing, building, and maintaining efficient, reusable, and reliable code in a cloud environment.
- Implementing AI agents that can orchestrate complex financial tasks across microservices.
- Developing robust agent communication protocols and memory management systems for AI persistence.
- Creating context management systems that allow AI to maintain state across user sessions.
- Building systems that intelligently route queries to specialized AI agents based on capabilities.
- Implementing and optimizing vector memory systems for efficient knowledge retrieval.
- Identifying bugs, and devising solutions to mitigate and address these issues- Implementing and monitoring analytics to ensure the health of the system.
- Designing error handling and recovery mechanisms for agent-based architectures.
- Technically leading cross-functional projects in a lean environment.
- Translating product requirements into AI agent capabilities and testable stories.
- Bachelor's degree in Computer Science, AI, Machine Learning, or similar technical field of study.
- Minimum 5+ years of experience in software development with 2+ years in AI/ML engineering.
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar agent orchestration tools.
- Strong understanding of prompt engineering, retrieval-augmented generation, and AI context management.
- Experience with vector databases (Pinecone, Qdrant, etc. ) for AI memory systems.
- Proficiency in Python for AI systems and Node.js/TypeScript for backend services.
- Experience with microservices architecture and RESTful API design with GraphQL.
- Solid understanding of AI agent architectures, orchestration patterns, and multi-agent systems.
- Excellent communication skills - written and verbal.
- Experience building production AI applications with modern foundation models (GPT-4, Claude, etc.).
- Knowledge of semantic search, embedding models, and vector operations.
- Experience with AI systems that maintain conversation context and memory.
- Familiarity with GraphQL for flexible data querying.
- Experience developing financial technology products or services.
- Prior work on agent-based systems, autonomous agents, or agent swarms.
- Contributions to open-source AI or LLM projects.
- Experience leading engineering teams in AI-focused projects.
- Experience with using Node.js and other Javascript frameworks at the production level.
- Background in FinTech or understanding of financial products and services.
