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Boam AI

Boam AI

boam.ai

3 Jobs

24 Employees

About the Company

Boam AI builds foundational, AI-powered data infrastructure to transform how companies sell to SMBs. We enable our enterprise partners to unlock new revenue through fully automated processes, 10x better data, and significantly higher conversion rates—while freeing up sales, ops, and engineering teams.

Listed Jobs

Company background Company brand
Company Name
Boam AI
Job Title
Applied AI Engineer
Job Description
**Job title** Applied AI Engineer **Role Summary** Own the end‑to‑end lifecycle of machine learning and agentic AI models that power a large‑scale enterprise data platform. Design, build, and maintain production-grade data pipelines, implement model deployment, continuous integration/continuous delivery (CI/CD), and monitoring. Collaborate with backend engineering and product teams to translate ambiguous business problems into robust ML/AI solutions. **Expectations** - 3+ years of hands‑on ML engineering on production systems. - Proven record of shipping end‑to‑end models, including training, evaluation, deployment, and retraining. - Ability to work autonomously with minimal process overhead and to own the quality of deliverables. - Strong motivation to solve real customer problems and to see models in production. **Key Responsibilities** - Own the entire ML model lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring. - Design, build, and maintain scalable ML and agentic data pipelines for training, inference, and real‑time monitoring. - Develop production‑ready features driven by large‑language and agentic models. - Integrate models into backend services and production systems, ensuring reliability and performance. - Implement experiment tracking, model CI/CD pipelines, and automated retraining workflows. - Continuously improve system performance, reliability, and observability for ML/AI components. - Partner with product and data teams to refine problem statements and deliver concrete ML/AI solutions. - Leverage next‑generation AI tools to accelerate iteration and enhance model quality. **Required Skills** - Advanced proficiency in Python and experience with end‑to‑end ML pipelines. - Hands‑on experience with PyTorch, TensorFlow, or similar deep‑learning frameworks; knowledge of XGBoost and other gradient‑boosting libraries. - Familiarity with large‑language models (LLMs) and foundation models, including deployment considerations. - Experience with vector databases, experiment tracking tools, and model monitoring solutions. - Comfortable working across APIs, diverse data stores, and cloud or on‑prem infrastructure. - Strong analytical mindset with emphasis on observable metrics over theoretical perfection. - Excellent communication skills for cross‑functional collaboration. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related technical field. *(No specific certifications required.)*
London, United kingdom
On site
Junior
16-12-2025
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Company Name
Boam AI
Job Title
Senior Backend Engineer
Job Description
Job title: Senior Backend Engineer Role Summary: Own and scale core backend services built in Scala and Python, handling data ingestion, enrichment, and delivery for AI‑powered enterprise intelligence platforms. Focus on high‑throughput, resilient scaling, and fast, measurable delivery. Expectations: • 5+ years in production backend engineering. • Deep expertise in Scala, Python, or other JVM/functional languages. • Strong sense of ownership, bias to ship, and ability to work without heavy processes. • Comfortable building from the ground up and scaling for 100× future data growth. Key Responsibilities: • Design, develop, and maintain resilient backend services and APIs. • Own end‑to‑end data pipelines from ingestion to enrichment and delivery. • Ensure reliability and test coverage integrated into code. • Continuously improve performance, scalability, and observability. • Collaborate with data/ML teams to productize AI agents. • Raise engineering standards through design reviews, pairing, and mentorship. • Leverage next‑gen AI tools to boost code quality and velocity. Required Skills: • Proficiency in Scala and Python (or similar functional/JVM languages). • Experience with distributed systems, high‑volume data pipelines, and data modeling. • Strong coding practices, automated testing, and observability skills. • Ability to design greenfield systems and ship under minimal process constraints. • Enthusiasm for AI/ML integration and solving real user problems. Required Education & Certifications: • Bachelor’s or equivalent in Computer Science, Software Engineering, Information Technology, or related field.
London, United kingdom
On site
Senior
15-01-2026
Company background Company brand
Company Name
Boam AI
Job Title
Backend Engineer
Job Description
**Job Title:** Backend Engineer **Role Summary:** Design, develop, and operate scalable backend services and data pipelines using Scala and Python to support AI‑driven data infrastructure. Drive reliability, performance, and observability while collaborating closely with senior engineers and data/ML teams. **Expectations:** - 3+ years managing production backend systems. - Strong ownership and ship‑first mindset with minimal QA buffers. - Ability to iterate rapidly and deliver tangible customer impact. **Key Responsibilities:** - Design and build resilient APIs and backend services. - Develop end‑to‑end data pipelines: ingestion → enrichment → delivery. - Embed test coverage directly in code, eliminating separate QA layers. - Optimize system performance, scalability, and observability. - Partner with senior engineers on system architecture and reliability. - Productize AI‑powered agents from data to end users. - Participate in design reviews, pair programming, and engineering best‑practice sharing. - Leverage next‑generation AI tools to enhance code quality and velocity. **Required Skills:** - Proficient in Scala, Python, or other JVM/functional languages. - Experience with distributed systems, data modeling, and high‑volume data flows. - Strong background in system design, reliability engineering, and scalability. - Test‑driven development mindset and automated testing expertise. - Knowledge of cloud platforms, containerization, and orchestration (e.g., Kubernetes). - Excellent problem‑solving, communication, and rapid iteration skills. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. - Certifications not required; practical experience and proven results are preferred.
London, United kingdom
On site
15-01-2026