bloom

About the Company

Product & Engineering Recruitment, with a human touch & a dash of va va bloom.

We bring together years of experience within Product Management and Engineering.

Bloom support and enable early stage startups, scaleups and leading global tech giants to build and nurture high-performing teams.

We founded bloom five years ago, with a vision to create a vibrant community, that fosters growth, learning, and connections.

Eighteen months into our journey, in April 2021, we also launched our mentorship programme. It's been an incredible journey, connecting individuals from diverse backgrounds and skill levels all over the world, spanning from IC to Leadership roles.

Through countless conversations, we've had the privilege of understanding your ambitions, aspirations, and challenges. We've matched you with peers, mentors, and mentees, fostering meaningful relationships and growth opportunities.

Our mission is simple: to inspire, challenge, and nurture ambitious individuals like you, to reach the very top.

Whether you come from a strong network, or seek to expand beyond your current circles, we believe in the power of connections. One connection can open so many doors.

In our community, you’ll find a supportive environment to connect with peers, seek mentorship, or offer guidance. With our industry-leading network, we're committed to curating a community of ambitious product professionals, dedicated to continuous growth and paying it forward.

Listed Jobs

Company Name

bloom

Job Title

Senior Software Engineer

Job Description

**Job Title** Senior Software Engineer **Role Summary** Lead end‑to‑end product development for an AI‑driven due diligence platform. Work within a small, cross‑functional engineering team to design, code, and ship scalable backend services, AI pipelines, and user interfaces. **Expectations** - Design and architect robust, high‑performance systems in Python. - Deliver high‑quality, maintainable code with strong test coverage. - Collaborate closely with product, data science, and design to implement features. - Mentor junior engineers and contribute to the team’s coding standards. - Operate within Agile/Scrum ceremonies and publish incremental releases. **Key Responsibilities** - Develop and maintain RESTful APIs using Python & FastAPI. - Build scalable data ingestion, transformation, and AI inference pipelines (LLMs). - Store and query structured data in PostgreSQL; index unstructured data in ElasticSearch. - Implement asynchronous messaging with RabbitMQ. - Create responsive front‑end components with React for complex workflows. - Configure CI/CD pipelines, Docker containers, and cloud deployments. - Monitor system health, troubleshoot performance bottlenecks, and optimize latency. - Perform code reviews, unit/integration testing, and documentation. **Required Skills** - Proficient in Python and FastAPI. - Solid experience with PostgreSQL and ElasticSearch. - Working knowledge of RabbitMQ or similar message brokers. - Front‑end skills: React, modern JavaScript/TypeScript. - Familiarity with AI/ML pipelines and large language models (beneficial). - Experience building scalable, fault‑tolerant services. - Version control: Git; CI/CD and containerization tooling (Docker, Kubernetes). - Knowledge of Agile/Scrum development processes. - Strong debugging, performance tuning, and documentation abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or equivalent work experience. - Relevant technical certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) are advantageous but not mandatory.

London, United kingdom

On site

Senior

05-11-2025

Company Name

bloom

Job Title

Software Engineer

Job Description

Job title: Software Engineer Role Summary Design, develop, and operationalize scalable, cloud‑native infrastructure that powers AI agents learning through interactive simulation environments. Work closely with research teams to translate research concepts into production‑ready systems used by leading AI labs. Expectations *Join as one of the first 10 engineers, influencing core product direction in a rapidly growing, high‑impact startup. Deliver end‑to‑end solutions under tight feedback cycles, maintaining high quality and rigorous engineering standards.* Key Responsibilities - Architect and build distributed APIs and services on AWS or GCP that support large‑scale simulation and agent training workloads. - Develop high‑fidelity simulation engines and environments enabling AI agents to explore, act, and learn via trial and error. - Integrate AI models, including LLMs when applicable, into production pipelines. - Lead end‑to‑end projects from concept through deployment, including design reviews, code reviews, and performance tuning. - Implement CI/CD pipelines, containerization, and automated testing to ensure rapid, reliable releases. - Optimize system scalability, latency, and resource utilization for demanding AI workloads. - Collaborate with cross‑functional teams (research, product, operations) to align technical solutions with business goals. Required Skills - Proven experience building scalable, cloud‑based systems on AWS or GCP. - Strong proficiency in typed languages: TypeScript/Node.js, Python, Golang, or equivalent. - Deep understanding of distributed systems, microservices, and API design. - Ability to design and maintain CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). - Demonstrated leadership of complex engineering projects from inception to production. - Excellent problem‑solving, debugging, and optimization skills. - Strong communication and collaboration skills in fast‑paced startup environments. - Bonus: Experience with large‑language‑model or LLM‑based applications. Required Education & Certifications - Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field. - Relevant cloud certifications (e.g., AWS Solutions Architect, GCP Professional Cloud Architect) are desirable but not mandatory.

London, United kingdom

Hybrid

06-11-2025

Company Name

bloom

Job Title

AI Engineer

Job Description

**Job title:** AI Engineer **Role Summary:** Design, develop, and deploy advanced reinforcement learning and agentic AI solutions for interactive digital environments. Leverage human‑in‑the‑loop workflows, cutting‑edge agent pipelines, and context engineering to build scalable AI‑driven training platforms and production features. **Expectations:** - Drive end‑to‑end research, prototyping, and scaling of agentic AI systems. - Deliver measurable performance improvements and high‑quality data pipelines. - Translate research innovations into robust, observable production deployments. **Key Responsibilities:** - Build and iterate human‑in‑the‑loop agents that generate tasks, data, and environments. - Define success metrics, run rigorous evaluations, analyze results, and optimize reliability and output quality. - Research and apply state‑of‑the‑art techniques in agent pipelines, context engineering, and model post‑training. - Collaborate with software engineering to productionise new methods at scale. - Maintain technical documentation, benchmarks, and reproducibility standards. **Required Skills:** - Strong expertise in reinforcement learning, agentic AI, and simulation environments. - Proficiency with Python, deep learning frameworks (PyTorch/TensorFlow), and RL libraries (RLlib, stable‑baseline, etc.). - Experience designing human‑in‑the‑loop data pipelines and automated evaluation metrics. - Solid understanding of model fine‑tuning, post‑training, and multi‑modal context engineering. - Ability to translate research prototypes into production‑level code (observability, scalability, maintainability). - Excellent analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field. - Proven track record of research or production work in RL or agentic AI (publications, demos, or deployed systems). ---

London, United kingdom

Hybrid

25-11-2025