Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
About the role
- Lead Research Engineer overseeing AI technology evolution and software delivery in collaborative environments. Requires extensive experience in NLP and Python as part of a dynamic engineering team.
Responsibilities
- Provide technical leadership and improve methodology while partnering with engineers and applied scientists\n• Involve in the software development lifecycle, building, testing, and delivering high-quality solutions\n• Collaborate in a team-oriented environment, sharing information and valuing diverse ideas\n• Deliver timely solutions in a fast-paced, dynamic environment\n• Contribute innovative ideas and solutions whilst being accountable for end-to-end deliveries\n• Engage with cross-functional partners and team members effectively
Requirements
- Bachelor’s degree in Computer Science or a related field\n• 8+ years of software engineering experience, including 4+ years of NLP and/or AI engineering\n• Proven experience leading technical workstreams and mentoring engineers\n• Deep proficiency in Python and its ML/NLP ecosystem (e.g., PyTorch, Jax, NumPy, Pandas, scikit-learn, spaCy, SentenceTransformers)\n• Strong understanding of modern ML techniques\n• Familiarity with empirical methodology and efficient AI Evaluation, agentic design and context engineering\n• Experience with cloud-native development and DevOps practices\n• Demonstrated ability to prioritize impact and deliver quality results in evolving contexts
Benefits
- Hybrid Work Model: Flexible working environment (2-3 days a week in the office depending on the role)\n• Flex My Way policies for work-life balance\n• Career Development and Growth opportunities\n• Industry Competitive Benefits: including health, dental, vision, disability, and life insurance\n• Comprehensive retirement plans including 401k with company match\n• Flexible vacation and paid time off\n• Mental Health Days off and access to Headspace app\n• Tuition reimbursement and learning resources\n• Employee incentive programs and wellness resources\n• Two paid volunteer days off annually
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
System Modelling Innovation Engineer at Electrolux developing advanced product development system models. Enhancing modeling techniques and optimizing product development for better consumer experiences.
R&D Engineer developing estimation and control strategies for Electrolux appliances. Collaborating with global teams to innovate product features and drive sustainability in consumer electronics.
Principal Research Engineer leading engineering activities in behavior autonomy for Scientific Systems. Overseeing critical technology deliverables, team management, and proposal efforts.
Staff Research Engineer involved in creating a neurosymbolic AI agent at Onton. Focused on optimal decision - making processes and addressing challenges in current AI systems.
Research Engineer focusing on decentralized AI training stack for Prime Intellect. Engaging in novel research, optimizing workloads, and contributing to open - source frameworks.
Post - Training Research Engineer at Baseten developing tooling for efficient AI model training. Collaborating on diverse architectures and systems - level concepts to enhance performance in AI applications.
AI Data Innovation Engineer developing and validating AI capabilities tied to governed enterprise data products at U.S. Bank. Collaborating on AI readiness efforts and supporting data product initiatives.
Research Engineer at Yooz, specializing in AI - driven document automation. Collaborating with R&D to develop innovative technologies and enhance document management solutions.
System Test & Research Engineer developing testing protocols and supporting improvements in Precision Agriculture solutions at Topcon. Collaborating with teams to ensure product quality and performance.