• Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems. • Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora. • Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems. • Integrate structured knowledge — ontologies, controlled vocabularies, and knowledge graphs — with unstructured text to produce evidence-grounded, provenance-aware AI outputs. • Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability. • Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems. • Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines. • Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates. • Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time. • Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives. • Translate high-level client and mission needs into actionable technical specifications and development plans. • Mentor junior engineers and contribute to a culture of technical excellence. • Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams.

Location: Remote Sri Lanka Type: Full-Time At HeyMilo, were redefining how companies recruit using Agentic AI to automate interviews, evaluate candidates, and scale intelligent hiring experiences. Were looking for a Senior AI Engineer who is passionate about building next-generation AI systems that create real, measurable impact. If you love experimenting with LLMs, architecting AI pipelines, and pushing the boundaries of whats possible, youll feel right at home here. What Youll Do - Produce clean, scalable, and maintainable Python code that powers our AI-driven platform with the support of modern AI development tools. - Design, implement, and maintain enterprise-grade APIs using FastAPI. - Rapidly prototype and iterate to turn ideas into product-ready features. - Experiment with the latest LLMs and apply strong prompt-engineering techniques to reduce hallucinations and improve reliability. - Implement RAG, contextual search, and advanced AI workflow pipelines. - Fine-tune, deploy, and optimize deep learning models for NLP and computer vision tasks. - Research emerging technologies, frameworks, and techniques and integrate them into production systems. - Build observability tools and AI-content auditing systems to ensure transparency, reliability, and safe interactions with AI. Who You Are - Proven industry experience in AI/ML engineering or similar roles, with at least 2 years of hands-on work in the AI/ML domain - Strong proficiency in Python and hands-on experience with FastAPI. - Deep understanding of LLMs, prompt engineering, and modern AI infrastructure. - Demonstrated experience with Agentic AI frameworks, data pipelines, and asynchronous systems. - Highly curious, adaptable, and quick to learn emerging AI technologies. - Solid CS fundamentals and a problem-solving mindset that thrives in fast-paced startup environments. - proficiency and understanding in Kubernetes.

• Design and implement modern AI architectures • Deploy machine learning models reliably into real-world applications • Create high-performance development environments and integrate AI workloads into existing system landscapes • Work closely with our Data Scientists and engineering teams • Understand requirements and translate them into robust technical solutions • Ensure our systems run with high performance, stability, and efficiency • Continuously evolve and improve them • Take responsibility for code quality and help advance our AI platform

About the Team The AI Center of Excellence team includes Data Scientists and AI Engineers that work together to conduct research, build prototypes, design features and build production AI components and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment, sharing knowledge, developing internal learning, and encouraging research publication. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. The technologies we use include:• Python is used for analysis and modelling, with numpy, pandas, and scientific computing libraries.• Jupyter notebooks are used for local and remote analysis.• scikit-learn is used for machine learning.• Anomaly detection is used for large-scale unlabeled data analysis.• LLM/GenAI toolchains, including HuggingFace, Transformers, LangChain, CrewAI, and Agentic architectures, are used.• The AWS cloud ecosystem, including SageMaker, Bedrock, Lambda, EKS, and S3, is used.• Agentic AI platforms, including multi-agent orchestration, tool use, reasoning frameworks, and LLMOps, are used.• EKS is used for application deployment.• Terraform is used for infrastructure as code. About the Role Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in software engineering and applied R&D in one of the key areas we focus on - traditional machine learning, neural networks, or generative AI. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities. This role is ideal for someone who is:• Strong background in data science.• Proficient with AWS and ML/LLM infrastructure.• Excited about agentic AI, autonomous workflows, tool-augmented LLM systems, and building the future of AI-driven security. In this role, you will:• Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows.• Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution.• Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems.• Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks.• Partner with engineering teams to ship AI features, integrating models into high-scale systems.• Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services.• Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance.• Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows.• Embrace agile development, iterative experimentation, and collaborative problem solving.• Mentor junior team members and uplift the technical bar for agentic AI and ML engineering. The skills you'll bring include: Core• 8-12 years of experience as a Data Scientist, ML Engineer, or AI Engineer.• Strong end-to-end practical expertise in ML/AI/DS.• Able to explore, experiment, and deliver independently. Proficiency in:• scikit-learn is used for classical machine learning.• PyTorch, TensorFlow, and Keras are used for deep learning.• HuggingFace, LangChain, and Transformers are especially useful for LLMs.• Pandas and NumPy are used for data preparation.• A clear understanding of modelling approaches and their suitability for different problems is necessary.• Strong communication skills and the ability to present technical concepts to diverse audiences are important.• The ability to collaborate across engineering, data science, product, and security teams is necessary.• Experience mentoring and guiding junior data scientists is preferred.• Agentic AI and LLM expertise is highly preferred.• Hands-on experience with agentic AI architectures, such as CrewAI, LangGraph, LangChain agents, tool-calling, and function-chaining, is preferred.• Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems is preferred.• Understanding of prompt engineering, evaluation frameworks, LLM observability, and guardrails is preferred.• Experience working with AWS Bedrock, model selection, latency/cost trade-offs, and LLM deployment patterns is preferred.• AWS and cloud experience is highly preferred. Strong experience in AWS ML ecosystem:• SageMaker training & inference• Bedrock LLM integrations• Lambda for serverless workflows• EKS for containerized deployments• S3, Glue, Athena, IAM best practices• Experience with Terraform, IaC, and production deployment workflows Experience with the following would be advantageous:• Experience in the security industry• Deployment of AI and machine learning models• Implementing model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited then please apply #LI-AK1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.