Lead ML Engineer (Generative AI & LLM Focus)
Remote (LATAM) | Full-Time Contractor
The Opportunity: Building “Ally”
AceUp is the premier provider of transformational leadership development at scale. We are currently architecting our next-generation AI Intelligence Engine—a system designed to deliver hyper-personalized, human-centered coaching and analytics at an enterprise scale.
We are looking for a Lead Machine Learning Engineer to act as a Staff-level Individual Contributor and Architect. You will own the design and implementation of sophisticated GenAI systems, moving beyond simple API wrappers to build complex, production-grade Agentic Workflows and Retrieval-Augmented Generation (RAG) pipelines.
This is a role for a Builder. You will work directly with the CTO to define the technical roadmap and write the core infrastructure that powers our most innovative features.
The Tech Stack
We are a GCP-native shop. You will be building directly within the Google Cloud ecosystem:
- GenAI & Compute: Vertex AI, Gemini Pro/Ultra, PaLM API, Cloud Functions.
- Data & Vector: Firestore, BigQuery, Vertex AI Vector Search.
- Orchestration: Cloud Run, Pub/Sub.
- Frameworks: Python, LangChain/LangGraph.
What You Will Do
- Architect Conversational Agents: Design and build stateful, context-aware conversational agents that can maintain long-running coherent dialogues, handling complex reasoning tasks rather than just single-turn Q&A.
- Build RAG Pipelines: Develop low-latency retrieval systems that ground LLM responses in proprietary data, ensuring high accuracy and minimizing hallucinations.
- Unstructured Data Intelligence: Lead the development of NLP pipelines to extract structured insights (semantic signals, sentiment, action items) from varied unstructured data sources (text, and eventually audio).
- Personalization Architecture: Implement advanced personalization layers that dynamically adapt model behavior and tone based on user history and context.
- LLMOps & Infrastructure: Own the deployment lifecycle of your models. You will be responsible for prompt architecture, evaluation frameworks, latency optimization, and cost management on Vertex AI.
- Technical Mentorship: Act as the technical “North Star” for our existing ML engineers. You will review code, set architectural standards, and guide technical decision-making without the overhead of people management.
Who You Are
- A “Product” Engineer: You care about the end-user experience. You don’t just optimize for accuracy; you optimize for utility, latency, and reliability in a production environment.
- GCP Specialist: You are comfortable navigating the Google Cloud ecosystem and know which services to use to build scalable, secure AI solutions.
- Hands-On Architect: You are looking for a role where you can code 70-80% of the time. You thrive in the IDE, not just in meetings.
- Pragmatic Innovator: You stay up to date with the latest papers (LoRA, CoT, ReAct), but you know when to use a simple solution over a complex one to ship value faster.
Requirements
- Experience: 6+ years of professional engineering experience, with at least 3+ years focused on ML/NLP and 1+ years specifically working with Large Language Models (LLMs) and GenAI.
- Technical Fluency: Expert in Python. Strong familiarity with modern AI frameworks (LangChain, LlamaIndex) and GCP Services (Vertex AI, Firestore).
- Communication: Conversational English is required. You must be able to explain complex technical trade-offs to Product Managers and Executives.
- Education: B.S. or M.S. in Computer Science, Mathematics, or equivalent practical experience.
Nice to Haves
- Experience with Audio/Speech processing pipelines (ASR, Diarization).
- Background in EdTech, HR Tech, or Psychology-based applications.
AceUp is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Please send us a resume and a short intro to careers@aceup.com