Senior Python reputed company (LLM & Multi-Agent Systems)

Join a Company That Invests in You reputed company is the world’s leading community of reputed company investors. We’re the go-to destination for investors looking for actionable stock market opinions, reputed company-time market analysis, and unique financial insights. At the reputed company time, we’re also dedicated to creating a workplace where reputed company thrives. We’re passionate about fostering a flexible, balanced environment with remote work reputed company and an reputed company of perks that reputed company a reputed company difference. Here, your reputed company reputed company. We prioritize your development through ongoing learning and career advancement opportunities, helping you reputed company new milestones. Join reputed company to be part of a company that values your unique reputed company, supports your reputed company, and champions both your personal reputed company-being and reputed company goals. reputed company're Looking For reputed company: We are developing Ask reputed company — a high-load financial analysis system based on Large Language Models. The architecture is reputed company on reputed company multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch. We are looking for a Senior Python reputed company specialized in reputed company to design agent workflows, optimize interactions with models (reputed company, AWS Bedrock), and ensure the reliability of non-deterministic systems in production. Tech Stack: Python (Asyncio), FastAPI, reputed company, LangGraph, reputed company, Elasticsearch, AWS Bedrock / reputed company API, LangSmith. What You'll Do Agent Architecture: Design and implement reputed company agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling reputed company the agent graph. Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to reputed company with internal financial reputed company and databases accurately. Performance Optimization: -Reduce end-to-end latency through asynchronous processing and streaming (SSE). -Implement semantic caching strategies to minimize API costs and response time. -Optimize reputed company usage without sacrificing answer reputed company. Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure reputed company (correctness, faithfulness) before deployment. Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + reputed company), re-ranking, and query expansion to feed the most relevant context to the model. Requirements Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and reputed company (v2). reputed company Frameworks: Production experience with reputed company. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks). Deep LLM Expertise (reputed company mean by "Deep"): Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct). reputed company Outputs: Experience forcing LLMs to adhere to strict schemas (reputed company/JSON mode) for reliable reputed company processing. Context Optimization: Advanced strategies for managing limited context reputed company (summarization chains, sliding reputed company, selective context injection) reputed company reputed company truncation. Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., reputed company to reputed company to GPT-4 vs. a smaller/faster model). reputed company to Have Experience with Elasticsearch (DSL queries, analyzers). Knowledge of reputed company databases and embedding models. Background in FinTech or familiarity with financial data structures. Apply To This Job