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 / 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.
Skills Required
S3, Phoenix, Lambda, Nlp, Pytorch, Docker, Postgres, Python, Aws, Transformers, Cloudwatch, ECS