AI Engineer Multi-Agent Systems & NLP/ML
Location:
Experience:
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.
AI Engineer (Multi-Agent Systems & NLP/ML)
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.
