Provectus is seeking a Generative AI Tech Lead to spearhead the development of large-scale AI systems and guide our Generative AI strategy. You will own architecture decisions, lead a team of 5–10 engineers, and push the boundaries of GenAI/LLM technologies to solve complex real-world challenges.
What You'll Do
- Lead, mentor, and grow a team of 5–10 ML, Data, and Software Engineers.
- Define and drive the technical roadmap for ML/AI initiatives.
- Foster a high-performance culture focused on ownership, learning, and engineering excellence.
- Work closely with Product, Data, and Platform teams to deliver end-to-end AI systems.
- Design, fine-tune, and deploy LLMs and ML models for real production use cases.
- Build systems for RAG, summarization, text generation, entity extraction, and other NLP/LLM workflows.
- Explore and implement emerging GenAI/LLM techniques and infrastructure.
- Contribute across the ML stack: NLP, deep learning, CV, RL, and classical ML.
- Architect and operate scalable ML/AI systems using AWS (SageMaker, Bedrock, Lambda, S3, ECS/ECR…).
- Optimize model training, inference pipelines, and data workflows for scale, cost, and latency.
- Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and automation.
- Ensure security, reliability, observability, and compliance across ML workloads.
- Lead the full ML lifecycle: research - experimentation - prototyping - production - maintenance.
- Perform code reviews, lead architecture discussions, and ensure engineering best practices.
- Troubleshoot and optimize production ML systems.
- Communicate project status, risks, and decisions to stakeholders and leadership.
What We're Looking For
- 5+ years of hands-on experience in Machine Learning, Deep Learning, or NLP.
- 2+ years in a technical leadership or team lead role.
- Strong expertise with LLMs (Hugging Face, OpenAI, Anthropic) and modern NLP stacks.
- Strong hands-on experience with the AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, ECS/ECR).
- Excellent Python engineering skills and proficiency with PyTorch or TensorFlow.
- Experience building ML systems in production, not just research.
- Solid knowledge of MLOps/LLMOps tools, pipelines, and deployment best practices.
- Strong architectural thinking and ability to design scalable ML systems.
- Excellent communication skills and ability to lead cross-functional teams.
- Passion for mentoring engineers and raising the technical bar.
Nice to Have
- Experience with Bedrock Agents, RAG pipelines, agentic workflows, or vector search.
Technical Stack
- Languages & Frameworks: Python, PyTorch, TensorFlow
- Cloud & Infrastructure: AWS SageMaker, AWS Bedrock, AWS Lambda, AWS S3, AWS ECS/ECR
- ML Platforms & Tools: Hugging Face, OpenAI, Anthropic
Team & Environment
You will lead a team of 5–10 ML, Data, and Software Engineers. The role involves close collaboration with Product, Data, and Platform teams to deliver integrated solutions.
Benefits & Compensation
- Sign-up bonus
- 10% Annual bonus
- Long-term B2B collaboration
- Fully remote setup
- Comprehensive private medical insurance or budget for your medical needs.
- Paid sick leave, vacation, and public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
Work Mode
This is a global, fully remote position.
Provectus is an equal opportunity employer.
