Tech Lead, RAG & Knowledge Ingestion

Unique AI; Berlin; Vor Ort; EUR 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Leading Company

Innovative & Impactful Projects

Ownership & Autonomy

Continuous Learning

Culture

Hybrid setup in Berlin

Zusammenfassung

Unique AI in Berlin is seeking a backend-focused tech lead to own the platform end to end. You will set architecture, mentor engineers, and drive reliability and performance across ingestion, processing, and retrieval services.

The role requires 7+ years in backend engineering with TS/Node.js, plus experience leading teams and building ingestion pipelines. Hybrid work setup with remote days in Berlin is offered.

Qualifikationen

• 7+ years backend engineering experience with TypeScript and Node.js.
• Experience as a technical lead for architecture, direction, and mentoring.
• Strong experience building ingestion or unstructured data pipelines across formats (PDF, Office, HTML, email).
• Robust database, indexing, and retrieval experience with PostgreSQL, Elasticsearch, Qdrant.
• Experience improving retrieval quality in production using embeddings, vector search, or RAG.
• System design maturity for scale, failure handling, service boundaries, and trade-offs in multi-tenant SaaS.

Aufgaben

• Technical leadership: Define and own the RAG platform’s architecture and standards, drive a technical roadmap.
• Hands-on backend: Build ingestion, processing, and retrieval services; strengthen parsers; optimize indexing.
• Retrieval and document intelligence: Advance chunking, embeddings, metadata; integrate Python services; enhance OCR/layout extraction when needed.
• Platform leadership: Mentor engineers, improve reliability, observability, and testing; support hiring and onboarding.
• Platform ownership: Run production delivery via Helm/Kubernetes and ArgoCD; enforce multi-tenant data isolation and security end to end.

Kenntnisse

TypeScript

Node.js

Technical lead

Ingestion pipelines

PostgreSQL

Elasticsearch

Qdrant

Vector search

RAG retrieval

System design

Multi-tenant SaaS

Tools

RabbitMQ

Kubernetes

Helm

ArgoCD

Jobbeschreibung

Job Description

Defining how AI and finance work together — securely, intelligently, and at scale.
We at Unique AI are building a highly secure generative AI platform, tailored for the financial sector. Utilizing AI, LLM, agentic and Skills technologies, we aim to revolutionize the Financial industry with an AI Automated workforce. Our mission is to increase efficiency, improve alpha, reduce risk, and increase quality across everything we do. We offer an inclusive environment at Unique and we encourage all genders and all neuro-diversities to apply.

We’re building an enterprise AI platform where knowledge ingestion is a foundational capability. It is how customer documents, files, and unstructured data enter the system so that AI assistants can search, retrieve, and reason over it.

We’re looking for a backend-focused tech lead to own the technical direction of this platform end to end. This is a hands-on technical leadership role. You will set architecture, guide implementation across the core ingestion services, mentor engineers through design and code review, and drive improvements in reliability, throughput, retrieval quality, and maintainability.

Job Requirements

• 7+ years of backend engineering experience with strong expertise in TypeScript and Node.js
• Experience as a technical lead for a backend or platform domain, with ownership of architecture, technical direction, and mentoring
• Strong experience building ingestion or unstructured data pipelines, ideally involving document parsing across formats such as PDF, Office documents, HTML, or email
• Strong database, indexing, and retrieval experience across PostgreSQL, Elasticsearch, Qdrant, or similar systems
• Experience improving retrieval quality in production using embeddings, vector search, or RAG-style retrieval systems
• System design maturity: you can design for scale, failure handling, service boundaries, and pragmatic trade-offs under real constraints
• Multi-tenant SaaS experience: you understand data isolation, tenant-scoped processing, and enterprise security requirements

Job Responsibilities

• Technical leadership: Define and own the RAG platform’s architecture and standards, make trade-offed design decisions, drive high-impact backend improvements across the pipeline, and communicate a clear technical roadmap.
• Hands-on backend engineering: Build and evolve ingestion, processing, and retrieval services/APIs, strengthen async pipelines (RabbitMQ, retries, backpressure), enhance parsers, and optimize indexing on Qdrant/Elasticsearch for quality and latency.
• Retrieval and document intelligence: Partner with AI engineers to advance chunking, embeddings, metadata, and RAG patterns; integrate Python services for agentic workflows; improve retrieval via better indexing/enrichment/evaluation and adopt OCR/layout/table extraction when it moves the needle.
• Technical leadership for the team: Mentor and unblock engineers through reviews and pairing, elevate reliability/performance/observability/testing, and support hiring and onboarding without primary people-management duties.
• Platform ownership: Run production delivery via Helm/Kubernetes and ArgoCD GitOps, enhance observability with OpenTelemetry/Prometheus/logging/alerts, and enforce multi-tenant data isolation, security, and auditability end to end.

Job Benefits

• Leading Company A chance to be part of a leading company in a rapidly evolving industry
• Innovative & Impactful Projects Engage in groundbreaking projects within the Generative AI space. Contribute towards building the foundations enabling financial institutions to operationalize AI.
• Ownership & Autonomy We care about outcomes and the right solution crafted with clean code
• Continuous Learning AI is moving fast and we value engineers who keep learning and experimenting
• Culture A modern company with flat hierarchies that focuses on a people-oriented culture and places great emphasis on transparency and open communication
• Hybrid set up Based in Berlin with flexibility for remote days