Senior Applied AI Engineer
New
W
WellthyHealthcare
US states based opportunity. We are currently not accepting candidates in the following states: Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and West Virginia.Full-TimeSenior
Salary160000 - 180000 USD per year
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Job Details
- Experience
- Minimum of 7+ years of professional experience in software development with at least 2 years of hands-on applied AI/LLM experience.
- Required Skills
- PythonArtificial IntelligenceLangChain
Requirements
- Minimum of 7+ years of professional experience in software development
- At least 2 years of hands-on applied AI/LLM experience
- Strong proficiency in Python
- Proficiency in modern AI frameworks (LangChain, vector DBs)
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with API-based LLM integration
- Deployed evaluation frameworks for LLMs (performance, reliability, bias assessment)
- Strong understanding of risks inherent in AI and mitigation approaches
- Familiarity with coding workflows using AI
- Strong problem-solving skills
- Collaborative, solution-oriented mindset
- Excellent communication skills
- Experience leading complex projects
- Strong technical leadership
- Ability to mentor and guide other engineers
- Passion for continuous learning and keeping up with AI trends and advances
Responsibilities
- Lead design and development of applied AI systems (RAG pipelines, LLM integrations, APIs).
- Ensure safe, reliable AI outputs with guardrails, monitoring, and evaluation.
- Prototype quickly, then scale to production with maintainable code.
- Mentor engineers on AI best practices and safe adoption.
- Partner with product and engineering leadership to collaborate on project timelines and scope for AI initiatives.
- Make effective trade-offs between technical debt and short-term delivery of value.
- Run experiments and rapidly prototype to quickly assess tools and prospective features.
- Use AI to effectively deliver high-quality, efficient, and maintainable code, setting standards and best practices for the engineering team.
- Collaborate closely with cross-functional teams to integrate AI solutions into existing and new features and applications.
- Contribute to the development of foundational AI capabilities, such as RAG/vector-database solutions and agentic workflow solutions.
- Create solutions for continuously improving AI solutions through monitoring, analytics and user feedback.
- Support the ability to easily evaluate AI performance against various models and prompts.
- Troubleshoot and resolve intricate technical issues related to AI implementations.
- Mentor and guide other engineers, fostering their adoption and appropriate use of AI.
- Support innovation through researching and assessing the latest AI advances on an ongoing basis.
- Contribute to comprehensive testing strategies, including unit testing, integration testing, and continuous integration practices.
- Develop and maintain documentation of AI solutions and related processes and best practices.
- Support the production operations of the applications by participating in technical support and release duty rotations.
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