Founding AI/ML Engineer
About The Position
At Kubbly, we are revolutionizing customer engagement with a predictive AI platform that facilitates genuine conversations via email, text, and WhatsApp. Our system anticipates customer needs and engagement timing, moving beyond marketing spam to initiate real dialogues and enable in-chat order completion. We are seeking an individual to help scale this personalized engagement system, focusing on building predictive capabilities and ensuring authentic customer interactions. This role offers the chance to join a company that is proven and growing, providing an opportunity to significantly influence its development.
Requirements
- 3+ years of industry experience developing machine learning models in production and driving business impact.
- Experience shipping AI/ML systems into production, including inference, monitoring, guardrails, and cost/latency optimization.
- Strong experience using LLMs, agentic workflows, and systems.
- Experience using GenAI work boosting tools in your day-to-day job (ChatGPT, Claude, Gemini, etc).
- Strong programming skills (Python preferred).
- Experience training and finetuning models using PyTorch/Hugging Face.
- Some proficiency applying LLMOps best practices, including prompt engineering.
- Solid backend engineering skills and experience building APIs/services that expose ML capabilities in real products.
- Strong skills in shell scripting (bash, zsh) and terminal multiplexers (tmux).
- Experience in cloud platforms (AWS preferred - SageMaker, EC2, S3, Lambda, CloudWatch), including building and maintaining containerized applications (e.g., Docker, Kubernetes).
Nice To Haves
- Experience in early-stage or high-growth tech environments.
- Experience with retrieval-augmented generation (RAG), ranking, and vector search.
- Familiarity building and managing data and process pipelines using Airflow or other workflow orchestration tools.
- Some experience building and deploying recommendation systems that have led to improved user engagement and/or business outcomes.
- Experience with conversational AI, safety/guardrails, and privacy-aware handling of user data.
Responsibilities
- Collaborate closely with the founders to help shape the vision and product roadmap.
- Own the production performance of AI features, including latency, cost, reliability, and model behavior monitoring.
- Architect, prototype, and deploy LLM-based solutions to expand our customer engagement engine or two-way communication product.
- Stay updated on the latest developments in AI and dev tooling and introduce them to daily work.
- Define and own evaluation frameworks, offline benchmarks, and production metrics to measure the quality and business impact of AI systems.
- Build feedback loops, datasets, and human-in-the-loop workflows to continuously improve model and agent performance.
- Run A/B tests and user experiments to validate hypotheses.
- Partner with founders and fellow engineers to architect and build scalable AI solutions.
- Create and maintain clear documentation while adhering to code best practices (git, PRs).
- Mentor and provide guidance to the team, helping them grow their expertise in AI.
Benefits
- Competitive salary and generous equity
- 14 paid company holidays
- Unlimited paid time off
- Significant coverage of medical, dental, and vision insurance
- Contribution towards medical, dental, and vision insurance for dependents
- Generous 401(k) company match
- Home office set-up
- Gym membership
- Cold brew and coffee
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
