Sr. Software Engineer, Applied AI

We are building next-generation AI capabilities to power our products and services. As an Applied AI Engineer, you will design, implement, and optimize AI-driven features, integrating Large Language Models (LLMs) and multimodal AI solutions into our technology stack. Your work will directly impact how our customers interact with and benefit from AI-powered experiences, bridging cutting-edge research with practical, scalable applications.Essential Functions & Impact AreasDesign, build, and integrate AI models, with a focus on LLM integration, fine-tuning, and prompt engineering.Develop and deploy multimodal AI solutions that combine text, image, audio, and other data sources to deliver enhanced user experiences.Collaborate closely with Product, Data Science, and Engineering teams to identify opportunities for AI-driven innovation.Optimize model performance for accuracy, efficiency, and scalability in production environments.Implement AI toolchains, pipelines, and frameworks to accelerate experimentation and deployment.Stay ahead of emerging AI research, frameworks, and best practices, and translate them into practical engineering solutions.Contribute to the company’s AI strategy, ensuring our architecture supports rapid iteration and experimentation.Requirements4+ years of professional software engineering experience, with at least 2 years focused on applied AI or machine learning.Proven experience with LLM integration (e.g., OpenAI, Anthropic, Cohere, Hugging Face) and fine-tuning on domain-specific data.Familiarity with multimodal AI systems and related tooling (e.g., LangChain, LlamaIndex, vector databases)Strong proficiency in Python and at least one modern frontend or backend framework (e.g., React, Node.js, FastAPI, Flask).Experience with ML lifecycle tools (MLflow, Weights & Biases) and cloud platforms (AWS, GCP, Azure).Ability to translate ambiguous product goals into AI-powered solutions with measurable impact.Strong collaboration and communication skills to work across disciplines and explain complex AI concepts to non-technical stakeholders.Curiosity, adaptability, and a passion for building real-world AI applications that make a difference.Preferred QualificationsExperience deploying and maintaining production-scale AI applications.Solid Background in NLP, computer vision, or multimodal fusion techniques.Knowledge of reinforcement learning from human feedback (RLHF) and advanced fine-tuning methods.Contributions to open-source AI projects or research publications.BenefitsWhy Join UsYou’ll be at the forefront of our AI evolution—building systems that leverage the power of LLMs, multimodal intelligence, and cutting-edge AI tools to create transformative products. This is an opportunity to work in a collaborative, forward-thinking environment where AI innovation is a core part of our mission.You Will Love Working At Curology Because:Competitive salary and equity packagesComprehensive benefits: medical, dental, and vision insurance for employees; flexible spending account; 401k; mental health & wellness programsMinimum Time Off policy (unlimited PTO, with at least 3 weeks off) for exempt employees11 company observed holidaysAdditional holidays: Curology days off (1 per quarter), 1 annual floating holiday (employee’s choice), and Gratitude Week (employees take the full week of Thanksgiving off; business critical teams observe different days)Paid parental leavePre-tax commuter benefitsEmployee donation matching program Company-sponsored events Free subscription to Curology or Agency (for you and another VIP of your choice!)Salary Range: $180-$200k (placement in range dependent on location and experience)Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions, and ages, as well as veterans and individuals with disabilities. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records Notice to Applicants under the CCPA.Originally posted on Himalayas

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