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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - AI Platform and Agents - **Company:** Hackajob Ltd - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Software Applications, Microsoft Azure, Program Optimization, Databases, Programming Tools, Distributed Systems, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Natural Language Processing, Redis, Software Deployment, Software Engineering, Software Technical Review, TypeScript, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Caching, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Information Technology, Deployment Automation, Build Tools, Machine Learning Operations, Api Design, Docker, Golang, Programming Languages - **Published:** August 24, 2026 - **Apply:** https://www.totaljobs.com/job/software-agent/hackajob-ltd-job107889504 ## About the Role * 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems * Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques * Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost * Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes * Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval * Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar * Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred * Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value * Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education * Bachelor's degree or higher in Computer Science, Software Engineering, or a related field ## Description As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. * Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents * Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization * Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale * Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services * Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously * Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage * Implement engineering best practices around observability, monitoring, testing, security, and operational excellence * Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement * Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams * Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products * Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [AI Killed DevOps... 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