• Be part of our Global Engineering Network! • Responsible for designing, building, and deploying next-generation AI/ML and Generative AI solutions that drive business transformation at scale. • Own the end-to-end AI lifecycle: data ingestion, model development, deployment, and monitoring. • Build and optimise scalable ML pipelines and services. • Develop AI-driven automation solutions, including intelligent agents. • Implement MLOps best practices (CI/CD, model versioning, monitoring, retraining). • Collaborate with cross-functional teams (engineering, product, data) to deliver AI solutions. • Translate business needs into technical AI use cases and architectures. • Stay up to date with emerging AI trends and contribute to innovation initiatives.

• Proarch is seeking a skilled Sr AI Developer with experience in building scalable, end-to-end applications and integrating AI-driven capabilities using OpenAI technologies. • The ideal candidate will have strong expertise in backend development, cloud platforms (preferably Azure), and modern search/retrieval systems, along with the ability to design and deliver intelligent applications such as chatbots and LLM-powered solutions. • You will work closely with cross-functional teams in an Agile environment to build high-performance, secure, and scalable enterprise applications.

Role Description We’re now hiring an AI Engineer to join our growing team and work closely with our Head of AI. You’ll help us bring intelligence to two distinct AI initiatives: - Embedding AI capabilities into our Web Application Firewall (WAF) - Powering behavioural analysis across the Blackwall server to detect and mitigate bot-driven threats This is a hands-on, cross-functional role for someone who thrives at the intersection of data science, software engineering, and security infrastructure. Engagement type: Full-time (contract basis) Location: Remote (within Europe) Compensation: Paid position; rate depends on experience and location Tasks - Collaborate with the Head of AI, product managers, and engineers to identify and deliver AI-driven security features. - Engineer and deploy ML models (e.g., LLMs, classifiers, anomaly detectors) into real-time systems like our WAF and behavioral analytics engine. - Build robust, low-latency ML pipelines using Python, C++, and SQL – ensuring performance, scalability, and maintainability. - Apply adversarial learning and behavior modeling to differentiate between bots and human traffic under live traffic conditions. - Design and implement workflows that enhance data quality, latency, and decision reliability across production services. - Monitor, evaluate, and optimize deployed models, ensuring continuous learning and adaptation to emerging threats. - Present results and trade-offs in a clear, structured way to both technical and non-technical stakeholders. - Contribute to Blackwall’s AI engineering practices by mentoring peers, conducting code reviews, and improving tooling. Qualifications - 3+ years of hands-on experience as an ML/AI engineer working on production systems, ideally in real-time or high-throughput environments. - Strong foundation in software engineering practices: version control, CI/CD, containerization, code testing, performance tuning. - Proficient in Python and SQL, with solid exposure to C++ or other systems-level languages. - Deep knowledge of ML models and deployment strategies – especially classification, anomaly detection, and behavioral modeling. - Experience working with LLMs or generative AI frameworks, including fine-tuning and serving. - Proven ability to translate ML research into scalable, reliable software systems. - Degree in Computer Science, Engineering, Mathematics, or a related technical field; MSc or PhD preferred. - Experience working cross-functionally with data, product, and infrastructure teams. Bonus Points - Industry experience in cybersecurity, fraud detection, or bot mitigation. - Familiarity with cloud-native ML tooling (e.g., BigQuery, Airflow, Spark) and orchestration tools like Kubernetes. - Contributions to open-source ML or security-focused projects. Company Description We are striving to create a diverse and inclusive environment. We encourage all applicants to apply for our roles. We value and actively seek diverse talent!

Role Description We are looking for a Senior AI Engineer (AI Automation) who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. This role is ideal for engineers who want to stay deeply technical while also shaping what gets built, not just how it’s built. As a member of the AI & Automation team, you will: - Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces. - Develop custom agentic solutions that leverage state-of-the-art AI models (e.g., OpenAI, Anthropic, Gemini) to automate workflows, augment decision-making, and scale business processes. - Embed within internal teams to deeply understand their goals, constraints, and key metrics, then translate those needs into technical solutions with clear success criteria. - Own projects end-to-end, including technical design, architecture decisions, scoping, delivery, iteration, and ongoing support. - Collaborate with non-technical stakeholders to expand their understanding of what’s possible with AI and help shape more ambitious solutions. - Build reliable, scalable systems that are used across the organization and touch critical parts of TRM’s operations. - Continuously evaluate impact, iterating on solutions quarter-over-quarter based on measurable business outcomes. - Contribute to a fast-moving, high-ownership engineering culture that values quality, velocity, and real-world impact. Qualifications - 6+ years full-stack software engineering experience building scalable web applications, services, and APIs. - Proficiency in JavaScript/TypeScript and/or Python, and comfort working across the stack including frontend development (React or similar frameworks). - Experience building backend systems, working with various datastores such as (Postgres/pgvector, Pinecone, Redis) and designing APIs. - Demonstrated curiosity and hands-on experience with AI tools and applications - using modern AI models, agentic IDEs, or building AI-enabled workflows or prototypes. - Experience building or experimenting with custom developed agentic systems, workflow orchestration tools (n8n), or Agentic browser automation. - A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces. - Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. - Experience collaborating cross-functionally and building trust with stakeholders at all levels of the organization. Requirements - Direct experience integrating automated AI Evaluation/Testing/Observability suites to continuously test model effectiveness leveraging platforms such as DeepEval, Langfuse/LangSmith or similar. Benefits - High velocity, high ownership team that expects clarity, follow-through, and impact. - Opportunity to work at the intersection of AI, national security, and fighting financial crime. - Environment that rewards urgency, adaptability, and outcomes. Company Description TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.