.AI Engineer(m/w/x)
Nejo AI Summary
Building automated biology labs for AI agents to access the physical world. Deep LLM and agentic patterns experience required. Infrastructure for AI agents to access physical world.
Building automated biology labs for AI agents to access the physical world. Deep LLM and agentic patterns experience required. Infrastructure for AI agents to access physical world.
Automating biology experiments for AI agents with APIs, edge functions, and processing pipelines. Strong systems engineering and production code writing in Python/TypeScript required. Observability dashboards, SLO instrumentation, and infrastructure ownership.
Defining architecture roadmap for cloud-native SaaS platforms with AI/ML integration. 10+ years software architecture experience in product-based engineering required. Unlimited vacation, fitness centre access.
Shipping production code for the Speechify iOS app, collaborating in a dedicated product team. Experience with products scaled to large user base required. Stock options, fast-growing environment, opportunity for impact.
Developing core Android features for a text-to-speech app used by 50M+ users. Deep Android component knowledge and app development experience required. Stock options, bonus, and fast-growing environment.
Developing advanced numerical models for sustainable packaging at Nestlé Research. Practical knowledge of Abaqus and Python required. Flexible hybrid work, healthcare contribution.
Computational analysis of microbiome assays for human health research. R or Python programming skills required. Flexible hybrid work, healthcare contribution.
Designing lab and pilot experiments for Nestlé Research, generating evidence for scientific progress. Hands-on expertise in statistical inference and Python required. Flexible working options, paid holidays beyond legal requirements.
Acquiring audio data and optimizing GCP infrastructure with Terraform. 5+ years software development experience, bash/Python, and Docker proficiency required. Bonus and stock options.
Developing valuation and optimization models for generation assets, working with Structuring, Trading, and Risk. Stochastic optimization and financial derivatives knowledge required. Relocation support provided.
Designing high-performance trading workflows and pricing models for quantitative analytics. Extensive software engineering experience, including Python and compiled languages, required. Relocation support provided.
Architecting and developing native Windows desktop apps using Windows App SDK, WinUI, C#, and XAML. 3+ years Windows desktop app development required. Stock options, bonus, and leadership opportunities.
Delivering cross-platform SDK solutions for audio information, optimizing for faster loading. Systems thinking and end-to-end design skills required. Bonus and stock options in a fast-growing environment.
Developing algorithms for hydro asset optimization and bidding strategies under uncertainty. Expertise in power markets and stochastic optimization methods required. Relocation support provided.
Designing digital solutions for AI-powered business transformation. Balancing business, user, and technology needs. Identifying quick wins and future requirements.
Defining and driving roadmap for endpoint troubleshooting capabilities at digital employee experience software leader. 3+ years Product Manager experience in enterprise software required. Hybrid work, relocation package, flexible hours.
Technical sales for AI-driven biology experiments, discussing binding kinetics and assay design. Scientific background in protein engineering or biochemistry required. Onboarding new customers and identifying expansion opportunities.
Building data science layer for AI-driven biology experiments. Owning messy experimental data end-to-end required. Automated checks for data quality and anomaly detection.
Architecting AI-driven lab automation systems, with hands-on coding in frontend, backend, and hardware integration. Production software shipping and team building experience required. Startup environment, small team leadership.
Automating mammalian protein expression and purification for AI-driven biology experiments. Deep hands-on expertise in CHO/HEK expression and scaled purification required. Building high-throughput production capability with automation and software engineers.
Designing and running cell-based functional assays, including reporter-gene and potency tests. Deep, hands-on assay development experience required. Automation-first lab infrastructure, AI-driven experiments.
Developing and validating HPLC and LC-MS methods for protein/biologics characterization. Deep hands-on expertise in HPLC and mass spectrometry required. Automated lab infrastructure, AI agent integration.
Optimizing protein expression and DNA assembly workflows for automated biology labs. Hands-on bench experience in molecular biology required. Infrastructure development, agentic science focus.
Building antibody developability assessment panels using DSF, nanoDSF, SEC, HIC, AC-SINS, and DLS. Deep, hands-on antibody developability experience required. Automated lab operations, interdisciplinary collaboration.
Automating biology experiments with Python drivers for liquid handlers and robot arms. Maker and hacker attitude required. Unattended operation work cells, reverse-engineering instrument protocols.
Automated lab infrastructure for AI-driven biology experiments. Hands-on molecular cloning and protein production required. Work with liquid handlers and lab automation.
Running molecular biology workflows, including PCR, Gibson assembly, and protein expression in bacterial/mammalian systems. At least 1 year of hands-on lab experience in molecular biology required. Automated lab environment, AI-driven experiment execution.
Building work-cell orchestration software for automated biology labs. Coordinating liquid handlers, plate readers, and robot arms required. Python/TypeScript production code, hardware-software boundary experience needed. Daily stand-ups, 2-person pairing on complex tasks.
Designing protein engineering campaigns for automated AI-driven labs. Protein science degree or related experience required. Collaboration with customers on experimental plans.
Integrating AI-driven lab automation APIs into customer protein design pipelines. Python/TypeScript production code writing and end-to-end system ownership required. On-site customer embedding, SDK development.