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$ 84,000.00 - 95,000.00 gross per year (USD)
Our culture isn't something people join, it's something they build and shape. We believe that every person deserves to be heard and empowered. If you're on the fence about whether you're a fit, we say go for it. Lets build something great together!
Join a team where you can make a difference!
We are looking to complete our team with passionate people that are willing to expand their skills by working on multi-domain projects. Is this you?
If yes, then one or more technologies of the following would bring you closer to a talk:
To succeed in the company, youll need a positive and open-minded, collaborative mindset. We are a TEAM. As part of this, its must be natural to you to say what you do and do as you say. If you have a problem, you raise the flag in due time and together we find a solution.
At least 7 years of overall developer experience with at least 4 years of experience in Python development in the Data, ML and AI areas.
Strong experience with Python and its ecosystem.
Any prior experience with LLMs and/or building the RAG with LlamaIndex, LangChain,
Strong debugging and troubleshooting skills.
Proficient in designing and developing RESTful APIs using Flask or FastAPI.
Good with relational databases, preferably PostgreSQL or MySQL.
Experience with AWS services, like EC2, EKS, S3, RDS, ELB.
Upper-Intermediate+ English and the ability to communicate effectively with
Familiarity with AWS Bedrock and any experience with SageMaker will be a big
Familiarity with the test automation culture and TDD, proficient in unit, integration, and functional tests.
Experience with DevOps practices, CI/CD, containerization using Docker,
Terraform, and Infrastructure-as-a-Code principles.
Design, develop, and maintain RAG applications to support the integration of
generative AI features into existing applications that the company has.
Build and help integrate the RESTful APIs to enable communication between AI
Create automation scripts and tools for data processing, deployment, and workflow orchestration of the LLM-based solutions.
Work closely with data scientists, DevOps engineers, and stakeholders to define the requirements and iterate through the solution design ideas.
How far you go is up to you we provide support; you bring exceptional skills. Do you already think it sounds great? We havent even mentioned what we will bring you to the table!
Fully remote, we let people work where they work best.
We work with clients who value our opinion and thought leadership and where we can make a meaningful contribution to architectural decisions, engineering decisions, and product decisions.
We have a strong social agenda and promote diversity and inclusion and participate in a variety of charity initiatives throughout the year.
Since we are rapidly growing, the ability to grow and advance your career is available and at a fairly quick rate.
Originally posted on Himalayas