Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.____________________________________________________________As an AI Engineer, the Research Engineer builds the systems that bring AI agents to life and scales the infrastructure that powers LLM-driven synthetic populations. The role designs agent cognitive architectures, implements context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments.This role balances AI agent development with backend engineering—ideal for engineers who want to work directly with large language models to create realistic behavioral simulations, while building the robust infrastructure needed to deploy them in enterprise settings.What You'll DoArchitecture & Development: Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use.Modeling & Experimentation: Design and run systematic experiments to evaluate agent behavior, test hypotheses about behavioral patterns, and iterate on model architectures based on empirical results and validation against real-world data.LLM Engineering: Build sophisticated prompting strategies, behavioral frameworks, and decision-making systems that enable agents to exhibit realistic human-like behavior across diverse scenarios and demographics.Scalable Infrastructure & Optimization: Architect and deploy backend services that orchestrate large-scale agent simulations, balancing behavioral sophistication with computational efficiency while optimising prompt design, inference costs, and system performance as agent populations scale.Who You AreEssential QualificationsBachelor's or Master's degree in CS, Math, Physics, AI, or related technical fieldOver 7 years of experience with at least 1 year working hands-on with large language models to solve complex problemsStrong foundation in both AI/ML concepts and backend engineering principlesExperience working in fast-paced environments where requirements evolve rapidlyTechnical SkillsLLM & Agent Development: Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflowsBackend Engineering: Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architecturesAI/ML Frameworks: Experience with frameworks for building AI / LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain)Data & Storage Systems: Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrievalInfrastructure: Knowledge of cloud platforms, containerisation, and deploying ML workloads to productionDesirable ExperienceExposure to research-driven product development or academic AI research Experience with multi-agent systems, simulation frameworks, or agent-based modelingKnowledge of fine-tuning workflows, model optimization, and experiment trackingUnderstanding of statistical validation and data quality assessmentPersonal AttributesStrong ownership mentality—you see projects through from design to deploymentPragmatic problem-solver who balances technical elegance with business needsClear communicator who can explain complex technical decisions to non-technical stakeholdersThrives in ambiguity and adapts quickly as product requirements evolvePassionate about building infrastructure that enables innovative AI applicationsIntellectually honest—willing to question prevailing approaches and advocate for better solutions when evidence supports itCollaborative mindset—debates ideas vigorously while respecting other perspectives____________________________________________________________Disclaimer: Calyptus uses an automated assessment tool that scores applicants.Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.