AI Contact Center Engineer

New

Skills

Engineer LangChain Machine Learning Prompt Engineering Python Transformers Vector Databases

Join Level AI, a cutting-edge Series C startup revolutionizing customer engagement by transforming contact centers into strategic assets using advanced AI technologies. As a Senior Machine Learning Engineer, you'll play a pivotal role in developing and deploying LLM-powered solutions that extract deep insights from customer interactions. Collaborate with industry leaders and contribute to shaping the future of AI-driven enterprise applications in a fast-paced, growth-oriented environment.

Job Overview
  • Contribute to the development of AI-native platforms for enhanced customer experience.
  • Work with state-of-the-art technologies such as Large Language Models and real-time analytics.
  • Collaborate with top-tier talent from leading technology companies.
  • Drive innovation in enterprise AI applications and contact center intelligence.
Key Responsibilities
  • Build and optimize LLM-powered agents for internal tools and customer-facing products.
  • Support prompt engineering, retrieval-augmented generation (RAG), and tool integrations.
  • Experiment with open-source and commercial LLMs, including GPT, Claude, and Mistral.
  • Implement and evaluate reasoning, planning, and memory modules for AI agents.
  • Collaborate with senior engineers to deploy and monitor AI features in production environments.
Required Skills & Qualifications
  • B.E/B.Tech/M.E/M.Tech/PhD from tier-1 engineering institutes in Computer Science or related fields.
  • 3+ years of experience in AI/ML, preferably with top technology companies.
  • Strong proficiency in Python and familiarity with libraries such as LangChain or Transformers.
  • Interest and experience in LLMs, agents, and the open-source AI ecosystem.
  • Basic understanding of vector search, RAG, and prompt engineering concepts.
  • Contributions to AI side projects or open-source repositories are a plus.
  • Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone) is advantageous.
  • Eagerness to learn, experiment, and grow in a dynamic environment.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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