AI Engineer
Regard
Responsibilities:
- Lead the design and implementation of production-grade AI systems and tooling
- Architect and deploy AI systems using frameworks like LangChain, vector databases, RAG techniques and prompt management, tracing, and benchmarking tools
- Perform prompt engineering to optimize the output for LLM-based tasks, modify LLM system designs to add more functionality or improve the performance of our AI agents or tasks
- Mentor and level up engineering team members on AI agent development, system design, and production AI best practices
- Design architectures that improve end-user response times and reduce both algorithmic and AI-based latency and cost using appropriate prompting techniques
- Collaborate with product and design teams to rapidly prototype and iterate on AI-powered features while maintaining engineering quality standards
- Own end-to-end delivery of AI systems, from conception through production, deployment, and monitoring
- Navigate technical ambiguity and make architectural decisions that balance speed to market with system reliability and scalability
Qualifications:
- BS in Computer Science or equivalent experience
- 4+ years of software engineering experience with demonstrated ability to build and ship products end-to-end
- 1.5+ years of hands-on applied AI experience, including extensive work with OpenAI or Anthropic LLMs in production settings
- Demonstrated proficiency in Python
- Proven experience building AI agents with expertise in prompt engineering, LLM pipelines, and optimization of latency, cost, and quality
- Experience with retrieval-augmented generation, context window optimization, chunking, semantic search, vector databases, and other technologies used in conjunction with LLMs
- Strong mentoring and teaching abilities to level up team members on AI system design and implementation
Preferred Qualifications:
- Exposure to startup and/or high growth environments
- Background in ML techniques, including fine-tuning of models/LLMs and building evaluation and training datasets
- Experience in healthcare technology or other highly regulated industries
- Experience working with health technology
- Experience with machine learning systems, including building evaluation, training, and inference pipelines, and deploying custom-built ML models
Hybrid Work | Location | Work Authorization
- For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area
- We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period
- We will provide relocation assistance to anyone who does not already reside in the NYC metro area
- For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks
- Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year
Comp | Perks | Benefits
- Eligible for equity
- 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
- 18 PTO days/yr + 1 week holiday break
- Annual $750 learning & development stipend
- Company-sponsored team retreat + social events
- A sabbatical program