About us
When people ask questions, they gain knowledge and continue to inquire further. This principle also applies to SaaS products. The success of any technology product lies in its ability to facilitate tasks and assist quickly and easily. However, many struggle with the steep learning curve.
At Alltius, we develop enterprise-grade secure, scalable, genAI-native assistants for customers, sales teams, and support agents. Think of it as a work tool version of J.A.R.V.I.S., accessible to anyone rather than just Ironman. We are revolutionising the way knowledge workers sell, use and assist. Our assistants blend the flexibility of GenAI with the determinism of symbolic AI and workflows. As a result, our customers get versatile and accurate assistants which do much more than answer queries and are easy to build and maintain.
Our clients in the financial services, insurance and manufacturing space have gone live in a matter of hours and report double-digit improvements in agent performance, sales conversion rates, contact ratios, and customer satisfaction within weeks. Effective and accurate assistance doesn't have to be time-consuming, difficult, or expensive.
Our team consists of dreamers, educators, technologists, and designers who are passionate about transforming software product enablement and helping companies unlock the full potential of their products. At Alltius, you will have the opportunity to co-build real-world solutions using machine learning and language processing-based SaaS systems. Additionally, you will learn from colleagues who have made significant contributions at renowned companies such as Google, Meta, Amazon, Adobe, Apple, Twitter, BCG, McKinsey, Carnegie Mellon University, Wharton School of Business, IITs (Indian Institutes of Technology), and IIMs (Indian Institutes of Management). We have secured funding from reputable venture capitalists and angel investors and are currently experiencing rapid growth as we develop product extensions that have garnered significant interest from top tech firms in the industry.
Role
We are looking for passionate and hard working software engineers who love solving hard problems in the ML and NLP space. If you are a code artist, you could be our next staff engineer (SDE III).
What you’ll do
- You will be responsible for understanding the product roadmap, resolving initial ambiguity for the tech team and defining overall tech architecture.
- You will be critically reviewing code and design of developers and ensuring high standards.
- Your own code will set an example for junior SDEs to inspire.
- You will drive test driven development and ensure architecture enables team’s agility.
- You will work customer backwards and partner with product managers on solutioning. You will simplify the solution to be lean.
- You would be working closely with our lead software engineer (formerly from Meta) and our co-founder data scientist (formerly a professor at UC Irvine & CMU).
- You will deliver great software on time meeting our customer needs.
What you’ll need
- 7+ years of experience working building on and maintaining a web based SaaS product.
- Strong expertise in architecting scalable systems with engineering and operational excellence.
- You are frugal and focussed on software optimization to reduce infra cost.
- You’re highly self-driven and willing to learn on the job, while getting stuff done.
- You enjoy mentoring and developing team members and insist on higher engineering standards.
- MS/BS in computer science or a highly quantitative field is highly desired.
- Experience with AWS, MongoDB, and Kubernetes, familiarity with cloud software architecture (e.g. GCP, Azure, or AWS) is a big plus.
- Ability to work in an agile environment with a focus on continuous integration.
What you’ll get
- Resources to own and be able to shape your own 0-1, 1-10, 10-100 journey.
- Work closely with the founders and the leadership team.
- Quick feedback. Rapidly measure and learn the impact of your work.
- Build for marquee customers.
- Flexibility - everyone has their own highly productive times - you have found your sweet spot? Perfect, we look at the output and not at what time it was produced.
- Our team works across three continents. We work in hybrid mode with a few days from office.
- Competitive scale-up package, hobby allowance and best in class insurance for individual and family
- Rewards for growth - we’re growing fast, and you’re the expert. Reap rewards from a large ESOP pool.
So what’s next
If this sounds exciting, reach out to careers@alltius.ai with your resume, your LinkedIn profile, and a short paragraph about why we should hire you for this position. We typically reply no later than 48 hours. We will have 2-4 rounds of interviews followed by a fit assessment.
We strongly encourage candidates to try our platform KNO+, read our blogs and learn a bit about generative AI applications during the process.
Let’s make something awesome!
