Senior Applied AI Engineer
New
B
Bedrock TalentB2B AI Software
The company is headquartered in New York City and prefers candidates who are based in or near NYC. There is flexibility for exceptional remote candidates.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Five or more years of professional software engineering, machine learning or applied AI experience.
- Required Skills
- PythonMachine LearningNLP
Requirements
- Five or more years of professional software engineering, machine learning or applied AI experience.
- Strong backend engineering skills, ideally with Python.
- Experience building and operating production systems beyond the proof-of-concept stage.
- Hands-on experience with LLMs, NLP and applied machine learning.
- Experience using commercial, open-source or proprietary language models.
- Experience designing or building agentic workflows.
- Strong system-design, analytical and technical problem-solving skills.
- A product-oriented mindset and comfort working with evolving requirements.
- The ability to move quickly while maintaining a high standard for production quality.
- Clear communication, intellectual honesty and a low-ego approach to collaboration.
- A bachelor’s or master’s degree in computer science, engineering or a related field, or equivalent practical experience.
Responsibilities
- Design, build and operate production-grade AI systems using LLMs, NLP and applied machine learning.
- Develop agentic workflows that solve complex, real-world product problems.
- Own core AI capabilities from initial experimentation through production deployment and ongoing improvement.
- Collaborate with Product, Data and go-to-market stakeholders to translate customer needs into scalable technical solutions.
- Select the appropriate models, frameworks and infrastructure for experimentation, evaluation, testing and monitoring.
- Build reliable backend services and integrations around AI-powered product features.
- Establish practical approaches to evaluating model quality, system reliability and user impact.
- Work directly with users to test solutions, gather feedback and iterate quickly.
- Make and communicate thoughtful tradeoffs between development speed, accuracy, reliability and scalability.
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