Data & AI Technical Lead

About TRG TRG is on a mission to make the world a safer place. We build AI and data fusion solutions that help government agencies and national security organisations connect intelligence from across domains - cyber, physical, financial, and location - and turn it into decisions that protect people. The work is meaningful, the problems are hard, and the impact is real. About the Role We’re looking for a Data & AI Technical Lead to work closely with our Principal Data Engineer - taking ownership of technical design and architecture across data and AI systems, and acting as a reliable force multiplier for the team. This is a hands-on role - you design and you build. The scope spans the full data and AI layer: how data flows between systems, how it is shaped for AI consumption, how agents and services are architected to work together reliably at scale. You’ll work in close partnership with the Principal Data Engineer, jointly shaping the architecture and evolution of the Data & AI domain. You’ll be expected to independently make and own technical decisions, drive initiatives from design through production, and provide technical leadership across the team. You’ll work across teams and contribute to shaping how we approach Data Fusion: bringing together signals from heterogeneous systems and turning them into actionable insights through AI and data engineering. This requires someone who can hold the big picture in their head while still caring deeply about the details of implementation. Beyond architecture, you’ll own the technical execution of initiatives within the Data & AI domain - driving work from design through production, making trade-off decisions, coordinating with adjacent teams, and staying accountable for systems after they go live. We write code with AI - tools like Claude Code and Cursor are a core part of how we work at every level, including this one. At Technical Lead level we expect not just fluency but deliberate, opinionated use: knowing when to lean on AI, when to steer it hard, and when to step in entirely. This is a non-negotiable part of how we operate. What You’ll Do Co-own technical architecture and system design with the Principal Data Engineer - covering data pipelines, AI flows, agent systems, and service integration patterns Lead design of data and AI flows across heterogeneous systems - defining how data is ingested, transformed, stored, retrieved, and consumed by agents and services Make and document architectural decisions independently when needed, providing clear reasoning and trade-off analysis Design and build MCP tools, RAG pipelines, and agent-facing APIs that connect AI systems to the data layer reliably Develop backend services with FastAPI as part of an event-driven architecture - hands-on, not just advisory Set and uphold engineering standards across the team: code quality, design patterns, review culture, and documentation practices Mentor engineers across the team - particularly on system design, data modelling, and AI integration patterns Use AI-assisted coding tools deliberately and help shape how the team uses them effectively Own the evolution of the Data & AI domain architecture, identifying technical debt, improving system design, and ensuring the long-term scalability and reliability of the platform Lead technical execution of initiatives from discovery to production - defining technical plans, driving implementation, overseeing rollout, and remaining accountable for post-release outcomes Act as the technical point of contact for initiatives within the domain, coordinating with Product Managers, engineers, QA, and adjacent teams to ensure successful delivery Collaborate closely with other Technical Leads and Principal Engineers to define shared interfaces, integration patterns, and cross-domain architectural decisions Drive engineering excellence in production through observability, monitoring, testing strategies, and operational readiness Participate in technical hiring and help shape the growth and technical direction of the Data & AI team What We’re Looking For Strong Python engineering background - production-grade code across data pipelines, backend services, and AI integrations; you write things that last and that others can extend Data architecture experience - proven ability to design systems that handle data at scale: schema design, storage strategy, pipeline architecture, and data modelling for both analytical and AI workloads AI systems design - solid understanding of how LLMs, agents, and retrieval systems fit together; experience designing or building RAG pipelines, multi-agent systems, or tool-augmented LLM workflows Backend and API development - strong experience with FastAPI or equivalent; comfortable designing service contracts and integration patterns across systems Event-driven architecture - hands-on experience designing and operating event-driven systems in production (Kafka, RabbitMQ, or similar) Docker and containerisation - confident at developer and service level; able to reason about runtime environments and integration Technical leadership without authority - you influence through technical credibility, clear communication, and good judgment; you can drive alignment across engineers with different perspectives AI-first development - you code with AI tools as a genuine daily collaborator; at this level we expect you to have a formed point of view on how to use them well, not just a willingness to try Ownership mindset - you see a problem and you own it through to resolution; you don’t wait for someone to hand you a scope Adaptability - comfortable in exploratory, fast-moving environments where the right answer isn’t always obvious and requirements evolve Delivery ownership - experience leading technical initiatives end-to-end, from requirements and architecture through implementation, rollout, and production support; comfortable owning outcomes, not just implementation Cross-functional collaboration - ability to partner effectively with Product Managers, QA, and engineers across domains, balancing technical quality with delivery needs and business priorities Systems ownership mindset - experience operating production systems, with a strong focus on observability, reliability, incident response, and continuous improvement after release Nice to have: AI & Agents Experience with agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar) Familiarity with MCP (Model Context Protocol) and tool-use patterns in LLM systems Experience with vector databases or embedding-based retrieval Prompt engineering at scale - versioning, evaluation, and systematic iteration Deeper knowledge of LLMs, Neural Networks, concept of Fine Tuning, etc. Data Engineering Experience with columnar or analytical databases (ClickHouse or similar) Familiarity with orchestration tools (Airflow, Prefect, Dagster, or similar) Background working across heterogeneous data sources and integration patterns Your perks Working from home Hit your goals from the comfort of your home because we value the performance, not the place. Flexible hours because we promote work-life balance. Yearly performance bonus to reward good performance and hard work. Paid medical insurance because we like to take care of you. Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day. Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health. Udemy unlimited subscription to promote your learning and development and grow your career. Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role. Equipment support so you have all the tools to do effectively and efficiently your work. No dress code because we want you to be as comfortable as possible. Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones. Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun! Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry! About us TRG TECH RESEARCH GROUP LIMITED deals with Data Fusion and AI products for civilian protection. Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence. Our product, Intellectus, is the only cloud-based all-in-one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual ID management, and third-party database integration that can be deployed in less than 24 hours. Want to learn more? Visit our website at www.trgint.com and our LinkedIn page. TRG TECH RESEARCH GROUP LIMITED processes and/or controls all data in accordance with the EU General Data Protection Regulation (GDPR) 2016⁄679. For more information, visit our Privacy Policy.