Flatrock

Role Description - US HOURS - this will be working 3 pm - 12 am - Design, implement, and support networks, servers, storage, telephony, and cloud infrastructure (AWS, Azure). - Lead projects for infrastructure upgrades, migrations (on-premise to cloud), and international expansion. - Serve as technical lead and escalation point, mentoring junior staff. - Manage vendors for hardware, software, and services. - Ensure security, compliance (SOX), and documentation standards are met. Qualifications - A self-sufficient, motivated professional who thrives in a fast-paced, high-growth environment. - Service-oriented with a customer-first mindset. - Strong communicator who can translate technical detail into business value. - Flexible, with the ability to adapt to after-hours project work. - Experienced in working within global 24x7 operations and regulated environments (SOX). - A natural mentor, eager to guide less experienced team members. - Bonus: background in healthcare, life sciences, pharma, or biotech. - 8+ years of hands-on engineering experience with enterprise networks, servers, and storage systems. - Proven expertise with VMware (ESXi, vSphere, vCenter). - Strong skills in firewalls, switches, wireless infrastructure (physical and virtual). - Deep knowledge of Microsoft Server OS & Active Directory. - Solid experience with cloud computing and storage (AWS and Azure). - Experience delivering disaster recovery and business continuity solutions. - Proficiency with Microsoft 365 collaboration suite (Teams, SharePoint, OneDrive, Exchange Online). - Scripting skills to automate and optimize infrastructure management. - Familiarity with patch management, monitoring tools, and ITIL frameworks. - Linux knowledge is a plus. Requirements - Degree in Information Systems or a related field (AA minimum) – or equivalent hands-on experience. - Certifications preferred: - Cisco (CCNA/CCNP) - Microsoft O365 - Windows Server - Networking certifications Company Description Dear recruiters there is no need to edit this.

Role Description - Design and build agentic AI systems, including autonomous agents, multi-agent orchestration, workflow state machines, and tool-using agents. - Develop LLM-driven agents capable of reasoning, planning, retrieval (RAG), and task execution across enterprise systems. - Build and maintain AI-powered automation workflows using platforms like n8n and Make to orchestrate business processes and cross-application integrations. - Integrate agents with APIs, CRM/ERP systems, collaboration tools, databases, and payment platforms using tool/function calling, MCP, and A2A patterns. - Implement robust execution logic (validation, retries, rate limits, fallbacks, error handling) to ensure reliability and scalability. - Design and manage RAG pipelines using embeddings, vector databases, chunking, and reranking strategies. - Establish safety guardrails, access controls, and human-in-the-loop workflows for high-risk actions. - Build evaluation, observability, and tracing pipelines to monitor performance, cost, latency, and reliability. - Deploy and operate agent services in cloud environments (AWS, Azure, or GCP) using Docker, Kubernetes, Terraform, and CI/CD. - Monitor production systems, troubleshoot issues, and continuously improve agent performance and policies. - Prototype and benchmark emerging agentic AI frameworks and models. - Create technical documentation and communicate AI solutions effectively to cross-functional stakeholders. Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field. - 3+ years of software engineering experience (Python and/or TypeScript). - 1+ year building LLM-powered or agentic AI systems in production or near-production environments. - Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel). - Hands-on experience with automation/orchestration tools (e.g., n8n, Make) in production settings. - Strong understanding of LLMs, embeddings, prompt engineering, structured outputs, and tool calling. - Experience designing REST APIs, microservices, and backend systems. - Familiarity with vector databases and RAG architectures. - Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code tools. - Strong system design, debugging, and communication skills. Requirements - Experience with MCP, A2A, or advanced agent communication patterns. - Advanced experience with n8n (custom nodes, self-hosting) or Make (complex scenarios). - Experience combining LLMs with workflow engines for document processing, reporting, chatbots, or decision support. - Familiarity with AI evaluation and observability tools (e.g., LangSmith, OpenAI Evals, Weights & Biases). - Experience with multi-agent systems, planning algorithms, RL, fine-tuning, or RLHF. - Knowledge of CI/CD pipelines and security best practices. - Experience in regulated industries (e.g., healthcare, finance, defense). - Relevant cloud or ML certifications. Company Description Dear recruiters there is no need to edit this.

Role Description - Plan, build and execute B2B marketing campaigns that generate leads and pipeline. - Own email marketing, landing pages, campaign messaging and CTAs. - Create and deliver webinar and event campaigns (end-to-end). - Write and edit high-quality marketing content: - website copy - LinkedIn posts - thought leadership articles - sales enablement content - Actively optimise campaigns based on performance data. - Own day-to-day website content updates, service pages and lead capture optimisation. - Improve messaging clarity across services (IT services, BPO, data, AI, staff augmentation). - Own LinkedIn as a commercial channel (not just posting, positioning and conversion). - Ensure consistent brand tone across all channels. - Produce practical sales assets: - one-pagers - pitch decks - case studies - campaign support materials - Actively support sales outreach with campaigns aligned to target sectors. - Work closely with SDRs and sales to improve meeting quality and conversion. - Own marketing activity within the CRM. - Ensure all MQLs are captured, tracked and nurtured correctly. - Deliver email campaigns via the CRM. - Track campaign-to-lead and lead-to-opportunity performance. - Support partner marketing activity through: - co-branded campaigns - webinars - joint content - Help activate partner relationships commercially (logos, messaging, credibility). Qualifications - 5+ years’ experience in hands-on B2B marketing. - Experience in IT services, IT consultancy, SaaS or BPO environments. - Strong digital marketing capability (email, content, LinkedIn, campaigns). - Excellent written and verbal English (UK / US business standard). - Comfortable working directly with sales teams. - Strong commercial awareness, understands how marketing supports revenue. - Confident owning delivery without needing heavy direction. Requirements - You enjoy doing the work. - You are practical, organised and delivery-focused. - You are UK-based and understand UK & US buyers. Nice to Have - Experience marketing offshore / nearshore delivery models. - Experience with CRM-driven marketing (HubSpot, Salesforce, Pipedrive etc.). - Experience supporting partnerships in B2B tech. Company Description Dear recruiters there is no need to edit this.