Senior Machine Learning Engineer (Bangalore/Noida Location)

Level AI; Bengaluru, Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Level AI is building an AI-native platform that transforms contact centres into strategic assets. We design, test, and deploy LLM-powered agents and RAG pipelines to deliver real-time insights and scalable AI features across customer interactions.

Join a team that collaborates with product, engineering, and client-facing groups to ship impactful AI capabilities, leveraging PyTorch, Hugging Face, Docker, and Kubernetes for robust production systems.

Qualifications

• B.Tech/M.Tech/PhD in computer science or mathematics-related fields with 3+ years of industry experience in Machine Learning and NLP, or applied AI.
• Strong programming skills in Python.
• Interest and experience with RAG and agentic AI concepts.
• Experience with PyTorch, Hugging Face Transformers, and other ML libraries.
• Experience deploying ML services using REST APIs, Docker, Kubernetes.
• Exposure to vector databases such as FAISS, Pinecone, Qdrant.

Responsibilities

• Build and deploy LLM-powered agents for internal tools and customer-facing products.
• Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
• Experiment with open-source/closed-source LLMs.
• Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
• Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
• Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
• Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.

Skills

Python

ML/NLP

Prompt engineering

REST APIs

Model training / inference

GPU acceleration

Team collaboration

Education

B.Tech/M.Tech/PhD in CS/Math with 3+ years ML/NLP

Tools

PyTorch

Hugging Face Transformers

Docker

Kubernetes

Cloud platforms

FAISS / Pinecone / Qdrant

Job description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!

Your role at Level AI includes but is not limited to

• Build and deploy LLM-powered agents for internal tools and customer-facing products.

• Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.

• Experiment with open-source/closed-source LLMs.

• Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.

• Optimise ML and LLM systems for accuracy, latency, scalability, and cost.

• Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.

• Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.

We'll love to explore more about you if you have

• B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI.

• Strong programming skills in Python.

• Interest and experience with RAG and agentic AI concepts.

• Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.

• Interest and experience in model training, inference optimisation, and GPUs.

• Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.

• Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.

To know about us: https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn: https://www.linkedin.com/company/level-ai/