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Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale.
Lead end-to-end delivery of enterprise-grade AI agents, defining behavior, running evals, and shipping production solutions in 30–45 days using AWS AI services and modern agentic frameworks.
Lead end-to-end AI product delivery for enterprise GenAI and agentic AI engagements, defining agent behavior, running evals, and shipping production-grade solutions in 30–45 days.
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead platform engineering for multi-environment cloud systems, defining DevSecOps standards and Kubernetes infrastructure to deploy and scale AI/ML workloads rapidly.
Lead end-to-end UX/UI design for AI-powered enterprise products, owning design systems, research strategy, and mentoring teams to ship human-centered AI workflows.
Lead the design of cloud, data, and AI systems for enterprise clients, setting technical direction and mentoring teams to ship production-ready AI in 30–45 days.
Hands-on technical lead who designs, builds, and scales production-grade AI systems: defining architecture, leading ML/LLMOps implementation (RAG, agentic orchestration, inference pipelines, AWS), and mentoring engineers. Requires 5+ years in AI/ML engineering with strong Python and distributed systems experience.
Design and deliver cloud, data, and AI/ML systems as a Senior Cloud Architect, building microservices, serverless and containerized workloads, implementing IaC and CI/CD pipelines, and shaping data and model deployment architectures using Python and modern AI tools.
Research role developing deep learning models (autoencoders, graph neural networks) to integrate multi-omic host-microbiome data for insights into human/animal health.
Data engineer (2-5 yrs experience) at Sublime Data, a Databricks partner consulting firm in Ahmedabad, India. You'll design, build, and maintain client data pipelines using Databricks (PySpark, Delta Lake, Delta Live Tables, Workflows), support cloud data migrations (Azure primary), and work directly with clients in this in-office, client-facing role.
Solutions Architect on the Customer Success team at Fiddler AI, an AI observability startup. The role architects customer onboarding, writes integrations between the Fiddler platform and customer data/ML stacks (Snowflake, Airflow, MLflow, S3, Kafka), and advises data science and ML engineering teams on monitoring and operationalizing trustworthy ML/LLM systems.
Software engineer building the backend of Lazarus's Applied Intelligence platform, which helps regulated industries run AI reliably in production. Day to day: design scalable Python/Go backend services, optimize databases, write tests, and ship containerized solutions. Base salary $135k–$165k plus equity.
Principal Solution Engineer in Paris (hybrid) who supports the full sales cycle for Aera's AI-powered Decision Intelligence platform — delivering tailored demos, POCs/POVs, workshops, and business cases. Needs 10+ years' experience incl. 3+ in pre-sales, plus supply chain operations expertise.
You will adversarially red-team Generative AI models for cyber-CBRNE risks: designing jailbreaks, multi-turn attack scenarios, and evaluations that test whether LLMs can be manipulated into enabling high-consequence attacks on critical infrastructure, ICS/OT systems, and labs. Requires deep cybersecurity, red-team, and CBRNE domain expertise.
A senior data scientist who builds and ships production-grade ML systems end-to-end at a fast-growing AI startup serving the supply chain and retail space, operating autonomously in a small Berlin-based team. Daily hands-on use of agentic AI coding tools like Claude Code or Cursor is a hard requirement.
Ottometric is hiring a Senior DevOps Engineer (on-site) to build, automate, and operate the AWS/Kubernetes infrastructure behind its AI-powered ADAS validation platform. Day to day: CI/CD pipelines, cloud infrastructure management, automation with Bash/Python, monitoring, plus some internal IT and sysadmin work.
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