Senior Engineer · Knowledge Architecture & RAG

Deliverance AI; United States; Remoto; USD 159.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity participation

Remote-friendly UK/EU time zones

Descrizione del lavoro

Deliverance AI is seeking a senior backend-focused engineer to design and operate retrieval systems and a layered knowledge architecture for enterprise use. You will shape ingestion, indexing, and access controls to ensure data correctness and isolation across environments.

You will collaborate with platform and applied-AI teams to deliver scalable, compliant solutions that support real agent workflows, with remote-friendly arrangements in UK/EU time zones.

Competenze

• Proven experience building retrieval-augmented generation or production retrieval systems.
• Strong understanding of vector stores, embeddings, indexing strategies, and retrieval evaluation.
• Solid backend engineering experience with maintainable services and data pipelines.
• Practical knowledge of data governance, access control, and information isolation.
• Quality-first engineering with emphasis on correctness and traceability in regulated settings.
• Ability to make sound technical decisions when retrieval quality, security, and operational constraints interact.

Mansioni

• Design, build, and scale a three-tier knowledge architecture spanning org, function, and user contexts.
• Develop ingestion, chunking, indexing, and retrieval pipelines for varied knowledge bases.
• Improve retrieval quality through evaluation, experiments, and production feedback.
• Integrate governed access controls into the retrieval path within permissions and environment.
• Maintain architecture ensuring customer data stays within its designated environment.
• Collaborate with platform and applied-AI engineers to support real agent workflows.

Conoscenze

Backend engineering

Vector stores

Embeddings

Data governance

Access control

Retrieval systems

Distributed systems

Descrizione del lavoro

Role overview

Build the knowledge architecture and retrieval systems that give enterprise agents the right context for each task. This senior backend-focused role covers the design of a layered knowledge model, ingestion and retrieval pipelines, and governed access to customer information, with correctness and data isolation treated as core product requirements. The position is based in London or available remotely.

Responsibilities

• Design, build, and scale a three-tier knowledge architecture spanning organisational, functional, and individual user contexts.
• Develop ingestion, chunking, indexing, and retrieval pipelines for varied customer knowledge bases.
• Improve retrieval quality through measurable evaluation, systematic experimentation, and production feedback rather than subjective assessment.
• Integrate governed access controls into the retrieval path so information is available only within the appropriate permissions and environment.
• Maintain an architecture in which customer data remains within its designated environment.
• Collaborate with platform and applied-AI engineers to make retrieval dependable for real agent workflows.

Requirements

• Proven experience building and operating retrieval-augmented generation or other production retrieval systems.
• Strong understanding of vector stores, embeddings, indexing strategies, and retrieval evaluation.
• Solid backend engineering experience, including designing maintainable services and data pipelines.
• Practical knowledge of data governance, access control, and information isolation.
• A quality-first approach to engineering, with attention to correctness and traceability in regulated settings.
• Ability to make sound technical decisions when retrieval quality, security, and operational constraints interact.

Benefits and work setup

• Senior full-time role with London or remote working options.
• Remote-friendly arrangements across the UK, EU, and selected global time zones.
• Equity participation and cash compensation benchmarked to leading London and remote markets.