Team Tech Lead

Springer Capital

$1-1.1K[Monthly]
Remote3-5 Yrs ExpBachelorFull-time
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Remote Details

Open CountryWorldwide

Language RequirementsEnglish

Job Description

Tech Lead owns the end-to-end technical direction, architecture, and delivery across AI, backend, and data infrastructure teams and guides engineers working on:

  • AI agents and LangChain orchestration
  • Python/Django backend and API layer
  • Data infrastructure (MinIO, ClickHouse, Qdrant)
  • Frontend (React, Node.js)
  • Should be hands-on in architecture and code when needed, and strategic in leading technical design, hiring, and roadmap alignment.

Key Responsibilities

  • Architecture & Design
  • Define and evolve system architecture across AI, backend, and data layers.
  • Ensure scalability, fault tolerance, and security of data pipelines and APIs.
  • Integrate multiple data sources into a unified, queriable layer.

Team Leadership

  • Lead and mentor a cross-functional team (backend, data, AI, frontend).
  • Review code, ensure best practices in testing, CI/CD, and documentation.
  • Collaborate with product & AI teams on roadmap priorities.

AI Systems

  • Oversee design of multi-agent frameworks (LangChain, LangGraph).
  • Implement robust retrieval & grounding using Qdrant or other vector stores.
  • Work with LLM engineers to optimize agent context, prompt routing, and evaluation.

Data & Backend

  • Architect APIs and data access layers around MinIO, ClickHouse, PostgreSQL, and Qdrant.
  • Optimize pipelines for ingestion, anonymization, and compliance.

Product Reliability

  • Set up observability, monitoring, and incident management for all layers.
  • Enforce strong security, data governance, and privacy controls.

Hiring & Growth

  • Help recruit backend, data, and AI engineers as we scale.
  • Set technical standards, onboarding guidelines, and development processes.

Requirements

Core Technical

  • Strong Python expertise ideally with Django / FastAPI.
  • Experience with LangChainLLMs, or agent-based architectures.
  • Understanding of data infrastructure:
  • Object stores: MinIO / S3
  • Vector databases: Qdrant / Weaviate / Pinecone
  • Analytical DBs: ClickHouse / PostgreSQL
  • Familiarity with React/Node.js for managing frontend integration.
  • Strong background in API designmicroservices, and event-driven systems.
  • experience leading AI or data-heavy product teams.

AI & Data

  • Hands-on experience building retrieval-augmented generation (RAG) pipelines.
  • Understanding of data embeddingsemantic searchchunking, and context management.
  • Familiar with LangChain agentsmemory management, and tool orchestration.
  • Experience in secure data anonymization and compliance-ready architectures.


Leadership & Communication

  • Ability to translate business goals (e.g., compliance visibility, sentiment analysis) into technical roadmaps.
  • Comfortable reviewing PRs, running sprint reviews, and unblocking engineers.
  • Strong communication skills (please) with both technical and non-technical stakeholders.

Bonus Points

  • Experience in WealthTech / FinTech / RegTech domains.
  • Prior work with Azure Cloud
  • Understanding of enterprise data integration (Salesforce, Outlook, CRMs, etc.).
  • Background in security, identity management, or compliance systems.
ReactjsNodeJsPostgresqlJavascriptPythonDjango
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Jenny Birch

HR ManagerSpringer Capital

Reply 8 Times Today

Posted on 03 November 2025

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