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RightShop

Senior Backend & Machine Learning Engineer (Systems & Infrastructure)

5-7 Years

This job is no longer accepting applications

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  • Posted 2 months ago

Job Description

Type: Part-Time - Project-Based work

RightShop is building the world's most trusted engine of transparent wellness.

We're looking for a Backend Engineer with a systems thinker mindset. Someone who understands how and why data flows, where bottlenecks occur, and how to build reliable solutions. This is not a just code what's asked role, ideally you'll help shape the architecture, challenge assumptions, and propose alternativeways of doing things.

You'll be working on the backbone of RightLabs: APIs, data pipelines, integrations, and infrastructure that power our consumer and partner experiences. Expect variety - flexibility and creativity are winning attributes. Some days it's search and vector ranking, other days it's tuning dashboards and securing PII.

What You'll Do

  • Design, build, and maintain backend components, APIs, and integrations.
  • Help architect data flows across PostgreSQL, key-value stores, caches, and object storage.
  • Implement secure authentication/authorisation (Auth0, OAuth2, OIDC, JWT).
  • Support search/vector search/ranking and external API integrations (OpenAI, Azure, etc.).
  • Set up monitoring and observability (OpenTelemetry, dashboards, SLOs).
  • Remain aware of and build for data regulations (GDPR and others).
  • Containerise solutions for scalability and compute flexibility (Docker/K8s/serverless,CDNs/WAFs)
  • Write adapters, contract tests, and manage schema diffs for evolving systems.
  • Collaborate across teams - tech and non-tech - find gaps, ask questions, and make suggestions.
  • Help design and implement theRightScore algorithm, combining ingredient databases, human behaviour patterns, and ethical/product metadata into transparent scoring.
  • Build and optimiselogic layers, ranking systems, and cross-referencing pipelinesthat feed into consumer-facing products.
  • Work withvector search, embeddings, and retrieval-augmented generation (RAG)for product intelligence.
  • Support the development ofAI-powered interfaces(chat and recommendation layers) by shaping the backend that feeds them.
  • Collaborate with product and science leads to translate wellness logic into robust, explainable models.

What We're Looking For

  • 5+ years of experience in backend engineering and system architecture.
  • Strong grasp of data flows, infrastructure, and integration patterns.
  • Proficiency with REST APIs, backend/frontend integration, and secrets hygiene.
  • Can handle PostgreSQL, caching, object storage, and streaming systems.
  • Experience with containerisation, serverless environments, CDNs, and WAFs.
  • Familiarity with hybrid/vector search and ranking approaches.
  • Working knowledge of PII/PHI/GDPR handling in production systems.
  • Experience withdata modelling, ML pipelines, or applied machine learning in production systems.
  • Understanding ofranking, scoring, or recommendation systemsis a plus.
  • Familiarity withLLM integrations, embeddings, or search-driven AIis desirable
  • Analytical thinker who can work independently and thrives on collaboration.
  • Curiosity and courage to ask why, not just how
  • Clear English communication,written and verbal
  • Be able to work across time zones with UK

Why Join Us

  • Be part of a mission-driven team redefining consumer wellness.
  • Build with pragmatic application of leading-edge AI and search technologies.
  • Help design and shape backend systems from the ground up.

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About Company

Job ID: 127699211