Senior Software Engineer (Platform Team and Customer Facing) Apply
Powerful developer platform for lean ML teams
TrueFoundry takes care of the tricky details of production machine learning so you can focus on using ML to deliver value. Training jobs, inference services, LLMs, GPUs and more. On your own infra.
Team
We have had folks from IITs, ISB, Facebook, Amazon, Postman, GoJek join us already. We have built a solid team; are well funded by Sequoia Capital, top VC's + directly from Naval Ravikant.
2nd-time founders - their previous startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.
About US
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on Kubernetes. TrueFoundry is a powerful LLMOps & MLOps platform that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and train models at lightning speed with scalability.
TrueFoundry also facilitates faster experimentation with Open Source LLMs on your cloud infrastructure while simultaneously reducing operational expenses. TrueFoundry has built a fearlessly experimental, customer-obsessed team who are making discoveries to fundamentally change how people build and consume business applications. Today, we're partnering with the world's leading companies to transform how they use data and technology.
In this role, you will work closely with the founders including Abhishek (https://www.linkedin.com/in/abhishekch123/) and Nikunj (https://www.linkedin.com/in/nikunj-bajaj-10476824/), also with internal and external stakeholders to develop best practices and solutions in the most optimized, scalable and reliable standards possible.
We're looking for Solutions Engineers who are deeply technical and are excited to build and ship solutions to help solve our customers' hardest problems.
Responsibilities
Please apply directly from here AND brownie points if you can email parth@truefoundry.com with the following:
TrueFoundry takes care of the tricky details of production machine learning so you can focus on using ML to deliver value. Training jobs, inference services, LLMs, GPUs and more. On your own infra.
Team
We have had folks from IITs, ISB, Facebook, Amazon, Postman, GoJek join us already. We have built a solid team; are well funded by Sequoia Capital, top VC's + directly from Naval Ravikant.
2nd-time founders - their previous startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.
About US
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on Kubernetes. TrueFoundry is a powerful LLMOps & MLOps platform that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and train models at lightning speed with scalability.
TrueFoundry also facilitates faster experimentation with Open Source LLMs on your cloud infrastructure while simultaneously reducing operational expenses. TrueFoundry has built a fearlessly experimental, customer-obsessed team who are making discoveries to fundamentally change how people build and consume business applications. Today, we're partnering with the world's leading companies to transform how they use data and technology.
In this role, you will work closely with the founders including Abhishek (https://www.linkedin.com/in/abhishekch123/) and Nikunj (https://www.linkedin.com/in/nikunj-bajaj-10476824/), also with internal and external stakeholders to develop best practices and solutions in the most optimized, scalable and reliable standards possible.
We're looking for Solutions Engineers who are deeply technical and are excited to build and ship solutions to help solve our customers' hardest problems.
Responsibilities
- Interface with the Customer's Executive and Leadership teams when needed to understand the technical goals and business objectives related to their MlOPs, LLMs process, and design their TrueFoundry implementation to best fit those requirements.
- Help realize our product vision of building and deploying Production-ready machine learning models with monitoring within moments, not months. Working with Thrift, Protobufs etc.
- Work with customers around the globe and will gain rare insight into the world's most important industries and institutions. Work cross-functionally with Customer Development and Engineering while independently driving key initiatives for TrueFoundry customers.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors. Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow. Write maintainable, scalable performant code working with large scale data pipelines, Optimising databases and queries, Building gRPC and rest API servers
- Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. You may need to code in their environment, understand their requirements, and implement the basic ones yourself in TrueFoundry product.
- Python, REST APIs, docker, CI/CD is a must-have
- It's a customer facing role- good communication and organized time-bound delivery mindset is critical.
- Some prior experience with NLP, basic ML, transformer based models would be important
- Experience with Langchain, RAG systems, fine tuning is a huge plus.
- Some experience with AWS & K8s is nice-to-have.
- Work with top engineers who led the Facebook Videos and Infrastructure team
- Weekly Games and learning sessions with teammates
- Flexible working hours and work directly with the Co-founders
- Client facing role work directly with fortune 500 companies.
- Team discussions on product and business growth strategies.
- Insights for those who want to build a startup in the future
- Other benefits like learning credits
Please apply directly from here AND brownie points if you can email parth@truefoundry.com with the following:
- Resume/Link to LinkedIn profile
- Why do you think you will be a fit for this role? {this often helps applications stand out)
- If you have done a similar thing in the past - please highlight it.
