Lead Engineer – Applied AI

Job not on LinkedIn

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🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

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.

📋 Description

• Architect and deploy autonomous AI agents for sales, messaging, scheduling, and operations workflows • Build and fine-tune open-source and API-driven LLMs for HighLevel’s data and customer use cases • Develop RAG systems and vector search infrastructure for context-rich, real-time generation • Design and iterate on prompt engineering, context construction, and agent tool usage strategies using frameworks such as LangChain • Apply modeling, A/B testing, scoring, clustering, and time-series forecasting to improve agent intelligence and product features • Partner with backend, infrastructure, and product teams to build scalable GenAI infrastructure, including model serving, prompt versioning, logging, evaluations, and feedback loops • Evaluate and monitor agent performance, hallucination rates, and real-world effectiveness through experimentation • Influence HighLevel’s AI roadmap, mentor engineers, and contribute to technical standards and best practices

🎯 Requirements

• 8+ 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 building retrieval-augmented generation (RAG) systems using vector databases such as FAISS, Pinecone, or Weaviate • Experience in cloud-native environments including GCP and AWS • Experience deploying models with 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 and familiarity with TypeScript • Strong engineering practices including CI/CD, testing, and versioning • Knowledge of supervised and unsupervised learning, causal inference, statistical testing, segmentation, and time-series forecasting • Experience taking ML/AI solutions from prototype to production, including monitoring, observability, and model iteration • Ability to work independently and collaboratively, lead initiatives, and mentor peers • Strong product sense and communication skills • The role is categorized for India

🏖️ Benefits

• Remote-first organization • Opportunity to work on high-impact, high-autonomy AI systems • Mentoring and peer collaboration opportunities