
SaaS • Marketing • B2B
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
August 8
AWS
Azure
Cloud
Docker
ElasticSearch
Google Cloud Platform
JavaScript
Kubernetes
Microservices
MongoDB
Node.js
Redis
Vue.js

SaaS • Marketing • B2B
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
• HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers 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, comprised of agencies, consultants, and businesses of all sizes and industries. • HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. • As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. • Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. • We’re looking for a lead-level engineer to own and drive Gen AI initiatives for Workflows designing, building, and scaling AI-powered workflow automation features end-to-end. • You’ll integrate and orchestrate LLMs (OpenAI, Anthropic, Claude, LLaMA, Mistral), design RAG pipelines with vector DBs (Pinecone, Weaviate, FAISS, Qdrant), and implement agentic AI workflows using LangChain, LangGraph, and AutoGen. • You’ll lead the technical strategy for AI in workflows from prompt engineering and fine-tuning (LoRA, QLoRA, PEFT) to EVAL frameworks that ensure performance, accuracy, and reliability.
• Leadership & Ownership: Proven experience leading projects and mentoring engineers • Fullstack Engineering: Node.js backend, Vue frontend, API design & scaling • LLM APIs: OpenAI, Anthropic, Bedrock, Claude, LLaMA, Mistral, LlamaIndex • Prompt Engineering: few-shot, CoT, dynamic context, function/tool calling • RAG Pipelines: embeddings, chunking, hybrid retrieval • Vector DBs: Pinecone, Weaviate, FAISS, Qdrant • Agentic AI: multi-step workflows, tool usage, memory (LangChain, LangGraph, AutoGen) • Fine-Tuning: LoRA, QLoRA, PEFT, embedding-based adaptation • EVALs: hallucination detection, groundedness, BERTScore, BLEU, GPTScore • Data Layer: MongoDB, Firestore, ElasticSearch, Redis • Cloud & Deployment: GCP (preferred), AWS, or Azure; Docker/Kubernetes; CI/CD for AI workloads
Apply NowAugust 6
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