AI/ML Tech Lead, LLMs, AWS
Provectus
AWSCloudPythonPyTorchTensorflow
Job Level
Mid-LevelSenior
Tech Stack
AirflowJavaScriptPythonTypeScript
About the role
- Design, configure, and manage AI systems and agents for internal and client environments.
- Train and adapt AI agents and models for diverse business use cases and security levels.
- Identify opportunities for AI-driven workflows and implement them into structured, compliant processes.
- Write and adapt code where needed to integrate AI systems into existing applications and workflows.
- Enable teams through workshops, documentation, and playbooks that make AI usage practical and scalable.
- Manage licensing, access rights, and usage monitoring across multiple projects.
- Translate technical AI capabilities into clear, usable solutions tailored to client workflows.
- Track adoption and continuously refine systems to maximize productivity and business impact.
Requirements
- 3+ years of professional software engineering experience (Python, JavaScript/TypeScript, or similar).
- Solid technical understanding of LLMs, AI agent frameworks, and workflow automation.
- Practical experience integrating AI tools into real processes (not just theoretical knowledge).
- Strong problem-solving and structuring mindset, with the ability to create clarity in complex settings.
- Passion for productivity, automation, and enabling others to succeed with AI.
- High initiative, collaborative, and comfortable leading without formal authority.
- Excellent communication and coaching skills with both technical and non-technical colleagues.
- Proficiency in Python and/or JavaScript/TypeScript.
- (Nice to have) Experience with workflow automation platforms (e.g. Zapier, n8n, Airflow, or similar).
- (Nice to have) Background in security-sensitive environments (enterprise IT, finance, healthcare, etc.).
- (Nice to have) Experience rolling out new platforms or tools across organizations (enablement, training, or adoption programs).
