Staff Software Engineer, Thoughtful AI
Machine Learning
$190-250k
+ Equity
AI operating system for healthcare RCM teams
Open for applications
AI operating system for healthcare RCM teams
21-100 employees
Open for applications
$190-250k
+ Equity
21-100 employees
Company mission
Tto fix the U.S. healthcare system.
Role
Who you are
- Bachelor’s or Master’s in Computer Science/Engineering, Data Science, or a related field
- Over 4 years of experience in machine learning, with a focus on implementing and integrating AI solutions using APIs and pre-trained models
- Proficiency in programming languages such as Python, TypeScript, or similar, with experience in utilizing AI/ML frameworks and tools such as LangChain, LlamaIndex, etc
- Familiarity with cloud infrastructure (ideally AWS) and experience in deploying and scaling AI applications
- Strong understanding of AI/ML concepts, but with a practical focus on application rather than research
- Excellent written and verbal communication skills, with the ability to convey complex AI concepts to technical and non-technical audiences
Desirable
- A practical approach to machine learning, with a focus on delivering tangible results and real-world applications
- The ability to navigate and implement cutting-edge AI technologies and tools, including emerging areas like autonomous agents
- An entrepreneurial mindset, eager to explore new possibilities and push the boundaries of what AI can achieve
- A collaborative spirit, ready to work closely with cross-functional teams and contribute to a shared vision
- Strong problem-solving skills and a proactive attitude towards learning and adapting to new challenges
What the job involves
- As a key member of our platform engineering team, you will play a pivotal role in developing and optimizing AI-driven solutions that enhance our end-to-end platform, including our customer-facing web application, backend infrastructure, and developer suite
- . Your work will empower a community of developers worldwide to build tailored AI solutions for unique customer use cases, enriching the ecosystem of automation modules
- Innovate: Stay at the forefront of AI/ML advancements, continuously exploring new techniques, models, and tools. Your insights will help drive innovation and keep our platform at the cutting edge of technology
- Collaborate: Work closely with core platform and automation engineers, as well as other stakeholders, to identify and address business needs through Machine Learning solutions. You will play a key role in bridging the gap between AI research and practical application
- Integrate: Utilize APIs, pre-trained models, and other tools to implement AI-driven features across our platform. You will focus on integrating these capabilities into production systems, enhancing the functionality and performance of our solutions
- Optimize: Fine-tune and optimize existing solutions for specific product requirements, ensuring that AI integrations are efficient, scalable, and reliable
Application process
- Required Technical Exercise - submissions without this component will not be considered
- Please spend no more than 20 minutes completing a quick coding exercise
Our take
Staffing is one of the most expensive contributors to business operation expenses, leading OpEx teams to minimize workforce sizes to cut costs. However, this often results in unfilled roles leading to larger workloads for employees, a sacrifice that can lead to lower-quality work and expensive errors.
Thoughtful develops bespoke back office automation bots, allowing businesses to hire bots that are specifically designed to automate their tasks and workflows. After onboarding, the company monitors and provides reports on the performance of each bot, allowing clients to see the value of each bot and whether adjustments are needed.
Whilst back office automation tools are nothing new, these generally work as integrations within other platforms, whereas Thoughtul’s bots are uniquely designed to emulate a position that would otherwise be staffed by a human. The company claims that its bots can help OpEx teams minimize staffing costs and optimize workflows whilst preventing any risk associated with cost cutting.
Freddie
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2024
$20m
SERIES A
Mar 2022
$10m
SEED
Total funding: $35.9m
Company benefits
- Robust Medical/Dental/Vision plans with Employer supported premiums
- Quarterly Company get-togethers
- Gym/Health Perks
- Early employee equity
- Getting your hands dirty at the ground level
- PTO (Sabbatical after 4 years)
Company values
- Experiment always - Don’t let the fear of failure hold you back from doing incredible, original work. We don’t expect perfection on the first swing, just the willingness to keep going until we get it right. It takes grit, a lot of experimentation, and failing fast to optimize learnings
- Do less, deliver more - We focus on doing the right things, not all things. Focus on work that creates an outsized impact for our customers and team. We practice ruthless prioritization and intentionally make trade-offs that best serve our customers and mission
- We are givers - We put our customers and our team ahead of our personal ambitions. We intentionally give without condition in the spirit of advancing our mission. We won’t succeed with a “gimme” culture, but we will win as a team of endless baton-passers who support each other until the race is won
- Be ALL in - We make outsized bets to earn outsized returns for our customers, fellow colleagues, investors and stakeholders. If something critical is broken, we work relentlessly to not only fix it but solve the core issue using first-principles thinking. We obsess everyday to advance the mission and plan on building a durable, resilient 100+ year old company
- Expect to WIN - Winning is the outcome of compounding wins every moment, day, month and year. We are disciplined executors that strive to achieve mastery in everything we do. We win with grace and help elevate everyone around us. We are market makers and leaders
Company HQ
Congress Avenue Historic District, Austin, TX
Articles
Leadership
Alex Zekoff
(CEO)Co-founder and CEO of Like Wallet from 2017 to 2018. Experience as Lead Process Automation Engineer for Deloitte Consulting.
Dan Parsons
(CPO)Experience as CEO of ORA Interactive. Co-founder and CEO of DRYV from 2014 to 2018.
Salary benchmarks
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