Software Architect
3 weeks ago
About the job
About Us
We are . We think the world would be a nicer place to be if Food Companies could create products that the consumers really want. So we are making it happen. We want to be the most preferred Food AI company in the world. We’re making it possible by building an AI-powered SaaS platform based on our founders’ experience in the Food Industry & AI.
We are a Series A round funded company with experienced investors like pi Ventures, Exfinity ventures and Anthill ventures. We are building a global company and are already working with customers across the globe. Our customers include Fortune 500 companies and FMCG brands.
We have won several accolades & awards in our short period of existence such as:
- Top 10 Global Food & Retail Tech startup at Kickstart Innovation'20 at Switzerland
- Top 15 Global Food tech Startup at Slingshot'19 at Singapore
- Top 200 Global startups at HKSTP Epic'20 at HongKong
- Top 500 Global Food Tech startups by Forward Fooding
WHAT’S IT LIKE TO WORK AT AI PALETTE?
We're a growing technology startup headquartered in Singapore with our Engineering base in Bangalore and a team in US, We PaletteeRs are a highly passionate and motivated bunch of people that help each other do remarkable things and achieve extraordinary results every single day. We are active learners, have a positive impact on consumers’ lives and settle for nothing short of excellence. We face challenges together and we win together. In our vision to build the World's First AI Platform for New Product Innovation , there isn’t a day that goes by where we don’t have “Aha” moments. We strive together to deliver world-class solutions that transform the way consumer products of today and tomorrow will be created. Join us
Responsibilities:
- Support hyper growth/new products in AI Palette from the Platform & DevOps perspective.
- Enhance and modernize the existing systems to be more reliable and efficient
- High performance systems - Experience with building high performance distributed systems that can scale to 10,000s QPS
- Core Infrastructure - Experience with developing and running large scale distributed storage systems, service oriented architectures, and reliable monitoring and deployment infrastructure. We use Python for the majority of our systems.
- Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Spark, Kafka, Hadoop, Hive, Storm, and Zookeeper.
- Scale AI Palette backend services that support millions of data points with 100% accuracy
- Architect our platform systems to be more generic in order to support various fast-growing verticals and features
- Develop creative ways to increase organization's engagement from the platform's perspective. E. g., apply machine learning to increase relevancy of our data, scalably updating recommendations on real time data updates
- Adapt and optimize key pieces of AI Palette’s evolving infrastructure
- Set best engineering practices and mentor junior team members.
- MLOps and LLMOps are good to have.
Requirements:
- 6-12 years of engineering experience.
- Expertise in Python. Go and Java are good to have
- Experience with developing complex software systems scaling to at least tens of thousands of users with production quality deployment, monitoring, and reliability.
- Experience with large-scale distributed storage and database systems (SQL & NoSQL, e. g. MySQL, ElasticSearch, Postgres ).
- Ability to decompose complex business problems and lead a team in solving them.
- Bonus points on experience in deploying LLMs at scale.
IDEAL
- Experience of working in the FMCG Industry
- Previous experience of working in a start-up
- Fluent in more than one language
Benefits
- Great progression opportunities - we want you to grow with us.
- Look after yourself with health insurance including Hospital/Surgical.
- Learn new skills with sponsored training on MOOCs such as Coursera, Udemy.
Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
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