AI Engineer – Conversational AI & Agent Systems

0 years

15 - 18 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

AI Engineer – Conversational AI & Agent Systems

Location: On-site (Full-Time)
Experience Level: Mid–Senior

Position Overview

We are seeking a highly skilled AI Engineer to help us build intelligent, scalable AI assistants and agent-based systems—similar to ChatGPT. This role is ideal for someone passionate about large language models (LLMs), conversational AI, and backend architecture.

You will play a critical role in designing, developing, and optimizing end-to-end AI solutions that power multi-tenant environments, secure contextual handling, vector search, and real-time interactions using advanced AI tooling and vector databases such as Qdrant and Milvus.

Key Responsibilities

  • Design & develop conversational AI agents using cutting-edge LLMs (GPT, Claude, Mistral, etc.)
  • Architect and implement scalable backend infrastructure for multi-tenant use cases
  • Build secure, role-based access systems with isolated contextual memory per organization/user
  • Integrate LLM pipelines with APIs, data stores, and vector databases (Qdrant, Milvus)
  • Optimize vector search & embedding workflows for speed, scalability, and accuracy
  • Fine-tune and prompt-engineer LLMs for domain-specific use cases
  • Implement chat session handling, long-term memory, and feedback loops
  • Manage context windows, optimize token usage, and apply caching strategies for efficient LLM use
  • Collaborate with DevOps on CI/CD pipelines, monitoring, and cloud scalability
  • Stay up to date with latest developments in LangChain, LlamaIndex, embeddings, and AI infrastructure

Required Skills & Qualifications

  • Strong proficiency in Python with hands-on AI/ML development experience
  • Experience with OpenAI API, LangChain, or LlamaIndex
  • Proven expertise with vector databases (Qdrant, Milvus): indexing, querying, embedding optimization
  • Familiarity with FastAPI / Flask for API development & deployment
  • Solid understanding of LLM prompt engineering, memory/context handling, token management
  • Proficiency with Git, version control, and CI/CD workflows
  • Bachelor’s or Master’s in Computer Science, AI, or related field
  • Excellent problem-solving, debugging, and communication skills

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹1,800,000.00 per year

Benefits:

  • Provident Fund

Work Location: In person

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