Artificial Intelligence Engineer

Job Title:

Experience:

Location:

About the Role

Senior LLM Engineers

Key Responsibilities

• Design and develop

  GenAI/LLM-powered applications

  using

  Langchain

  ,

  RAG pipelines

  , and

  prompt engineering techniques

  .
• Build

  agent-based frameworks

  and integrate with

  vector databases

  like FAISS, Pinecone, or Weaviate.
• Collaborate with engineering and cross-functional teams to drive the

  LLM technical roadmap

  .
• Translate business needs into

  scalable, production-ready AI solutions

  .
• Work closely with

  SMEs and data teams

  to align AI models with real-world applications.
• Participate in

  system design, architecture reviews, and performance optimisation

  .

Skills Required

• Expert in

  Python

  ,

  Langchain

  , and

  SQL

  .
• Solid understanding of

  LLM internals

  , including

  prompt tuning

  ,

  embeddings

  ,

  vector search

  , and

  agent workflows

  .
• Background in

  ML model development

  or

  software engineering

  with system-level thinking.
• Experience with

  cloud platforms

  such as

  AWS

  ,

  Azure

  , or

  GCP

  .
• Ability to work

  independently

  while actively collaborating across technical and business teams.
• Strong

  communication

  and

  stakeholder management

  skills.

Preferred Qualifications

• 1+ years of

  hands-on experience

  in

  LLMs and GenAI

  .
• Experience in

  end-to-end AI/ML pipeline development

  and

  product deployments

  .
• Familiarity with

  MLOps practices

  and

  scalable AI deployment

  strategies.
• Prior exposure to

  client-facing roles

  or

  cross-functional AI delivery teams

  .