SEEKR

Company Name: SEEKR
Job Title: Lead Backend Engineer
Job Description: Job title: Lead Backend Engineer Role Summary: Architect, build, and operate the data foundation for a high‑velocity cost‑revenue intelligence platform that ingests millions of real‑time events from autonomous AI agents. Own end‑to‑end pipelines, databases, APIs, and predictive analytics to deliver real‑time margin insights for AI companies. Expectations: - Design and scale distributed, low‑latency data pipelines that process millions of events daily. - Own the architecture of storage, attribution graph engines, and analytical workloads. - Deliver robust, secure, observable services that enable real‑time dashboards and partner integrations. - Drive data‑driven innovation by integrating ML for anomaly detection, forecasting, and margin optimization. - Lead technical decisions, mentor junior engineers, and set standards for reliability and performance. Key Responsibilities: - Build and maintain streaming data pipelines using Kafka/Cloudflare Workers or equivalent. - Model and implement high‑throughput databases (PostgreSQL, ClickHouse) and graph engines for event attribution. - Design, document, and evolve REST/GraphQL APIs (or minimalist custom protocols) for external consumption. - Deploy services on AWS/GCP using Docker, Kubernetes, and CI/CD pipelines. - Implement observability, logging, tracing, and security controls across the stack. - Collaborate with front‑end, analytics, and ML teams to operationalize predictive models. - Continuously improve performance, cost efficiency, and reliability of back‑end services. - Keep abreast of new data‑engineering and AI tooling; propose optimal solutions. Required Skills: - 3+ years of designing and scaling distributed backend systems with high throughput. - Mastery of Python or Go (preferred) for backend development and data processing. - Strong experience with event‑driven architectures and real‑time streaming frameworks. - Deep knowledge of SQL (PostgreSQL) and analytical databases (ClickHouse, BigQuery). - Expertise in API design (REST, GraphQL) and performance optimization. - Proficiency in cloud infrastructure (AWS or GCP), containerization, Kubernetes, and CI/CD. - Solid understanding of security fundamentals, observability, and reliability engineering. - Excellent communication, documentation, and problem‑solving skills. - Bonus: experience with ML pipelines, agentic AI domains, or scaling startups. Required Education & Certifications: - Bachelor’s or higher degree in Computer Science, Engineering, or related field. - Relevant certifications (e.g., AWS Certified Solutions Architect, GCP Professional Data Engineer) are a plus.

London, United kingdom

Hybrid

Senior

02-10-2025

Company Name: SEEKR
Job Title: AI Engineer
Job Description: **Job title** AI Engineer **Role Summary** Design, develop, and deploy large language model (LLM) components for a commercial product. Work in a fast‑paced, startup environment with a focus on experimentation, iterative improvement, and delivering AI‑driven features that meet customer needs. **Expectations** - Deliver production‑ready AI solutions on schedule. - Drive continuous improvement of model accuracy, latency, and cost efficiency. - Collaborate with product, data science, and operations teams to align AI capabilities with business goals. - Participate in code reviews, documentation, and knowledge sharing. - Operate in a hybrid work setting with remote flexibility. **Key Responsibilities** - Build and maintain LLM pipelines (data ingestion, preprocessing, fine‑tuning, inference). - Fine‑tune, evaluate, and optimize large language models on proprietary data. - Design and implement APIs, microservices, and deployment workflows for AI features. - Monitor and troubleshoot model performance, latency, and run‑time costs. - Experiment with prompt engineering, hyper‑parameter tuning, and architectural variations. - Integrate AI components into the broader product stack and CI/CD pipelines. - Ensure compliance with data privacy, security, and AI ethics guidelines. - Communicate results to stakeholders and translate business requirements into technical solutions. **Required Skills** - Strong programming in Python with experience in PyTorch, TensorFlow, or Hugging Face Transformers. - Proven commercial experience building LLM‑based products or services. - Expertise in ML/AI operations: Docker, Kubernetes, CI/CD, and cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML). - Familiarity with data pipelines, ETL, streaming inference, and real‑time performance monitoring. - Ability to conduct prompt engineering, hyper‑parameter optimization, and model compression. - Proficiency in unit testing, automated testing, and continuous integration. - Excellent problem‑solving, debugging, and cross‑functional communication skills. - Understanding of AI ethics, bias mitigation, and data privacy best practices. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related discipline. - Optional certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer Associate, or equivalent. ---

London, United kingdom

Hybrid

08-10-2025

Company Name: SEEKR
Job Title: Senior Software Engineer
Job Description: **Job title:** Senior Software Engineer **Role Summary:** Senior Software Engineer drives solution architecture and end‑to‑end system design for flagship digital products in sports and entertainment. Works closely with product, engineering, and consulting teams to deliver scalable web and mobile experiences, while consulting directly with large clients from discovery to launch. Acts as the technical bridge between senior architects and delivery teams, shaping architectures, frameworks, and digital journeys for globally seen brands. **Expectations:** - 2–3 years in solution architecture or senior engineering roles. - Comfortable shifting between high‑level roadmaps and detailed backend implementation. - Proven ownership of technology strategy, delivering tangible client outcomes. - Ability to interpret ambiguity as opportunity, driving clear frameworks and workflows. - Strong collaboration across technical, product, and business stakeholders. **Key Responsibilities:** - Lead architecture design for editorial, gamification, loyalty, and video products. - Partner with tech leads, engineers, consultants, and product to build scalable web/mobile solutions. - Consult major clients through discovery, architecture definition, and launch, owning the tech conversation and outcomes. - Bridge group‑level solution architects with dedicated project teams, translating strategy into delivery. - Define and enforce architecture best practices, coding standards, testing, performance, and monitoring. - Continuously improve digital frameworks and user experiences for fan engagement. **Required Skills:** - Proficiency in TypeScript, JavaScript, C#. - Experience with React, Next.js, Node.js, .NET. - Familiarity with Vitest, Playwright, Pact, K6 for testing. - Knowledge of PostgreSQL, CosmosDB, Redis data stores. - DevOps tools: GitHub Actions, Azure, Kubernetes, Docker, Terraform. - Monitoring: Grafana, Azure Application Insights. - Strong communication skills for client engagement and cross‑functional collaboration. - Ownership mindset, problem‑solving, and tolerance for ambiguous scenarios. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Relevant certifications (e.g., Microsoft Azure Solutions Architect, Kubernetes Administrator, Terraform Associate) are a plus.

London, United kingdom

Hybrid

Senior

11-12-2025

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