Were looking for the newest member of our DevX group, where you'll have the unique opportunity to develop AI-based solutions aimed at boosting productivity at our company and redefining our Software Development Lifecycle (SDLC).
As a Principal AI engineer at our company you will.
Recommend and test agentic productivity tools.
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions.
Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation.
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness.
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices.
Define meaningful KPIs and closely monitor cost.
As a Principal AI engineer at our company you will.
Recommend and test agentic productivity tools.
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions.
Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation.
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness.
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices.
Define meaningful KPIs and closely monitor cost.
Requirements:
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in software development
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Experience with CI / CD tools
Strong communication skills and the ability to collaborate effectively in a team.
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in software development
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Experience with CI / CD tools
Strong communication skills and the ability to collaborate effectively in a team.
This position is open to all candidates.
