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
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