India onlyAbout HighLevel:
HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals.
HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 micro-services, and supports over 1 million domain names.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
Every month, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Learn more about us on our YouTube Channel or Blog Posts
About the Role:
We're seeking a Staff Engineer to lead the development of LLM-powered AI agents and next-gen Generative AI systems that drive core product functionality and customer-facing automation at scale.
This is a high-autonomy, high-impact role for someone who thrives at the intersection of applied AI, agent design, and core data science. You'll build foundational models, retrieval systems, and dynamic agents that interact with millions of users — powering personalized communication, intelligent scheduling, smart replies, and much more.
We are looking for builders who can take projects from research and experimentation to production and iteration, and who bring strong data science rigour alongside hands-on GenAI experience.
Roles & Responsibilities
- Architect and deploy autonomous AI agents that execute workflows across sales, messaging, scheduling, and operations
- Build and fine-tune LLMs (open-source and API-driven) tailored to HighLevel's unique data and customer use cases
- Develop robust retrieval-augmented generation (RAG) systems and vector search infrastructure to enable context-rich, real-time generation
- Design and iterate on prompt engineering, context construction, and agent tool usage strategies using frameworks like LangChain
- Apply core data science methods — modeling, A/B testing, scoring, clustering, and time-series forecasting — to enhance agent intelligence and broader product features
- Partner with backend, infra, and product teams to build reusable, scalable GenAI infrastructure: model serving, prompt versioning, logging, evals, and feedback loops
- Continuously evaluate and monitor agent performance, hallucination rates, and real-world effectiveness using rigorous experimentation frameworks
- Influence HighLevel's AI roadmap while mentoring engineers and contributing to technical standards and best practices
Requirements:
- 7+ years of experience in Data Science, Machine Learning, or Applied AI, with a track record of delivering production-grade models and systems
- Hands-on expertise with LLMs: fine-tuning, prompt engineering, function-calling agents, embeddings, and evaluation techniques
- Strong experience in building retrieval-augmented generation (RAG) systems using vector databases (e.g., FAISS, Pinecone, Weaviate)
- Experience working in cloud-native environments (GCP, AWS) and deploying models with frameworks like PyTorch, Transformers (HF), and MLOps tools
- Experience with LangChain or similar agent orchestration frameworks; ability to design multi-step, tool-augmented agents
- Proficiency in Python, with strong engineering practices (CI/CD, testing, versioning) and familiarity with TypeScript
- Solid foundation in core data science: supervised and unsupervised learning, causal inference, statistical testing, segmentation, and time-series forecasting
- Proven experience taking ML/AI solutions from prototype to production, including monitoring, observability, and model iteration
- Ability to work independently and collaboratively, leading initiatives and mentoring peers in a fast-paced, cross-functional environment
- Strong product sense and communication skills—able to translate between technical constraints and product goals
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
United States
