AI Engineer – Multi-Agent Systems & NLP/ML Location: Gurugram, India (On-site, Full-time) Experience: 2–4 years About LeapX LeapX is building the next generation of AI-powered advertising platforms. Our products are redefining how brands run campaigns with speed, precision, and intelligence. We’re looking for an AI Engineer (Multi-Agent Systems & NLP/ML) to design, train, and productionize intelligent multi-agent workflows that form the backbone of our platform. This role is ideal for someone who thrives at the intersection of machine learning, NLP, and systems engineering . What You’ll Do Design & Build Multi-Agent Workflows: Architect agentic environments (e.g., LangGraph or similar frameworks) with robust orchestration, memory, retries, and guardrails. Develop ML/NLP Models: Train, fine-tune, and deploy PyTorch-based models for NLP tasks such as intent detection, summarization, embeddings, and structured reasoning. Integrate Agents with ML Pipelines: Connect model outputs with decision-making agents, ensuring smooth handoffs between reasoning, planning, and execution steps. Infrastructure & Deployment: Scale AI services on AWS (ECS/EKS/Lambda, S3, CloudWatch) using Docker and CI/CD workflows. Observability & Evaluation: Set up eval harnesses, logging, tracing, and performance monitoring (Langfuse, Phoenix, or equivalent). Cross-team Collaboration: Work closely with backend, product, and AI research teams to integrate multi-agent workflows into customer-facing products. Innovation & Research: Stay ahead of emerging multi-agent frameworks, ML architectures, and optimization techniques to bring cutting-edge capabilities into production. What We’re Looking For Core Skills: 2–4 years in AI/ML engineering with strong Python and PyTorch expertise. Solid experience in NLP (transformers, embeddings, fine-tuning, sequence modeling). Hands-on exposure to agent frameworks (LangGraph, Haystack Agents, AutoGen, or equivalent). Systems Knowledge: Understanding of multi-agentic environments, state management, and inter-agent communication. Familiarity with RAG pipelines and vector databases (Postgres/pgvector, Pinecone, Weaviate, etc.). Deployment & Ops: Proven ability to deploy and scale ML services in production using cloud infrastructure (AWS preferred). Mindset: Strong problem-solving skills with ability to move from prototype → production. Curiosity to explore new approaches in agent orchestration and ML research. Bonus: Experience with ad-tech APIs (Google Ads, Meta). Knowledge of LoRA/QLoRA fine-tuning or GPU inference frameworks (vLLM, TGI). Contributions to open-source agent frameworks or ML libraries. What We Offer Opportunity to shape the multi-agent intelligence stack that powers LeapX products. A fast-moving, high-ownership environment where your work directly impacts global brands. Close collaboration with experienced founders and technologists. Competitive Salary + ESOP + potential to lead the AI agents/ML charter in the future. Work from our Gurugram office with a culture of speed, creativity, and excellence . If you are interested in this role, please fill this below form. It will take 15/20 mins, hence kindly be prepapred accordingly. https://docs.google.com/forms/d/e/1FAIpQLSeNijd_9E4rGsxM3fF5ihv4rlomoyUomsc1IUbZem5ijzXa6w/viewform?usp=sharing&ouid=102945188276931555953 Also do note, if you just apply using Easy Apply button, we wont be able to move ahead with your candidature.
AI Engineer Multi-Agent Systems & NLP/ML Location: Gurugram, India (On-site, Full-time) Experience: 24 years About LeapX LeapX is building the next generation of AI-powered advertising platforms. Our products are redefining how brands run campaigns with speed, precision, and intelligence. We're looking for an AI Engineer (Multi-Agent Systems & NLP/ML) to design, train, and productionize intelligent multi-agent workflows that form the backbone of our platform. This role is ideal for someone who thrives at the intersection of machine learning, NLP, and systems engineering . What You'll Do Design & Build Multi-Agent Workflows: Architect agentic environments (e.g., LangGraph or similar frameworks) with robust orchestration, memory, retries, and guardrails. Develop ML/NLP Models: Train, fine-tune, and deploy PyTorch-based models for NLP tasks such as intent detection, summarization, embeddings, and structured reasoning. Integrate Agents with ML Pipelines: Connect model outputs with decision-making agents, ensuring smooth handoffs between reasoning, planning, and execution steps. Infrastructure & Deployment: Scale AI services on AWS (ECS/EKS/Lambda, S3, CloudWatch) using Docker and CI/CD workflows. Observability & Evaluation: Set up eval harnesses, logging, tracing, and performance monitoring (Langfuse, Phoenix, or equivalent). Cross-team Collaboration: Work closely with backend, product, and AI research teams to integrate multi-agent workflows into customer-facing products. Innovation & Research: Stay ahead of emerging multi-agent frameworks, ML architectures, and optimization techniques to bring cutting-edge capabilities into production. What We're Looking For Core Skills: 24 years in AI/ML engineering with strong Python and PyTorch expertise. Solid experience in NLP (transformers, embeddings, fine-tuning, sequence modeling). Hands-on exposure to agent frameworks (LangGraph, Haystack Agents, AutoGen, or equivalent). Systems Knowledge: Understanding of multi-agentic environments, state management, and inter-agent communication. Familiarity with RAG pipelines and vector databases (Postgres/pgvector, Pinecone, Weaviate, etc.). Deployment & Ops: Proven ability to deploy and scale ML services in production using cloud infrastructure (AWS preferred). Mindset: Strong problem-solving skills with ability to move from prototype ? production. Curiosity to explore new approaches in agent orchestration and ML research. Bonus: Experience with ad-tech APIs (Google Ads, Meta). Knowledge of LoRA/QLoRA fine-tuning or GPU inference frameworks (vLLM, TGI). Contributions to open-source agent frameworks or ML libraries. What We Offer Opportunity to shape the multi-agent intelligence stack that powers LeapX products. A fast-moving, high-ownership environment where your work directly impacts global brands. Close collaboration with experienced founders and technologists. Competitive Salary + ESOP + potential to lead the AI agents/ML charter in the future. Work from our Gurugram office with a culture of speed, creativity, and excellence . If you are interested in this role, please fill this below form. It will take 15/20 mins, hence kindly be prepapred accordingly. https://docs.google.com/forms/d/e/1FAIpQLSeNijd_9E4rGsxM3fF5ihv4rlomoyUomsc1IUbZem5ijzXa6w/viewformusp=sharing&ouid=102945188276931555953 Also do note, if you just apply using Easy Apply button, we wont be able to move ahead with your candidature.