Lead/Staff Engineer - Applied AI

We Love AI Jobs; India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

HighLevel in India is seeking a Lead/Staff Engineer to lead LLM-powered agents and generative AI features for the business platform. You will move projects from experimentation to production, collaborate with product and engineering teams, and shape the AI roadmap while mentoring engineers.

The role requires 8+ years in data science or applied AI, hands-on experience with LLMs, vector databases, and cloud platforms.

Qualifications

• 8+ years of experience in data science, ML, or applied AI with production-grade models.
• Experience building LLM-powered agents, RAG systems, and vector databases.
• Proficient in Python and modern ML tooling; strong data science fundamentals.

Responsibilities

• Architect and deploy autonomous AI agents for workflows across sales, messaging, scheduling, and ops.
• Fine-tune LLMs tailored to HighLevel's data and customer use cases.
• Develop robust RAG systems and vector search infra for real-time generation.
• Design prompt construction and agent tool usage strategies with LangChain.
• Mentor engineers and drive production readiness, observability, and monitoring.

Skills

Python

LangChain

PyTorch

Hugging Face

FAISS

Pinecone

Weaviate

GCP

Tools

Transformers

MLOps

CI/CD

Job description

# Lead/Staff Engineer - Applied AIHighLevelRemote (India)Full-timeAI tools:LangChainPyTorchHugging FaceFAISSPineconeWeaviateUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role builds and deploys LLM-powered agents, retrieval systems, and generative AI features for HighLevel’s business platform. You’ll take projects from experimentation to production, work across product and engineering teams, and help shape the AI roadmap while mentoring engineers.* Permanent* Fully Remote* 8+ years### Skills and expertisePythonLangChainPyTorchHugging FaceFAISSPineconeWeaviateGCP### Key responsibilities* Architect and deploy autonomous agents for sales, messaging, scheduling, and operational workflows.* Build and fine-tune LLMs and RAG systems for HighLevel’s data and customer use cases.* Monitor agent performance and run experiments to improve effectiveness and reduce hallucinations.## How this job comparesCompared with 57 open lead machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 57 open lead machine learning jobs at 36 companies.Remote work: This job is remote. 12 of the 57 lead machine learning jobs (21%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The role centers on building, fine-tuning, evaluating, and deploying LLM-powered agents and generative AI systems. It also develops RAG infrastructure and monitors agent performance.## Full descriptionAbout HighLevel:HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.Our PeopleWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.Our ImpactEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.Learn more about us on our YouTube Channel or Blog Posts.About the Role:We're seeking a seasoned 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.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 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 goalsResponsibilities:• 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