AI/ML Engineer

Posted on August 14, 2025

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Job Description

  • Job description
  • *AI/ML Engineer*
  • Max Experience : 4+ Years
  • *Client is from call center (BPO) Domain.*
  • *He wants a candidate who is not only in data visualization but can do model creation, control & fine tuning accoding to client requirements and Can do modifications in model as required.*
  • *Like - He/She can able to create a model which converts text to speech and speech to text and control it, fine tuning it for different regional languages because their domain is specific for call center.*
  • Seeking a skilled and hands-on AI/LLM Engineer to join the AI development team.
  • Ideal candidate will have strong experience with Large Language Models (LLMs) , including prompt tuning , model finetuning , and invocation orchestration .
  • Role focuses on designing, integrating, and optimizing LLM-powered systems to improve the overall user experience .
  • Will collaborate closely with product and engineering teams to evaluate, refine, and deploy conversational and generative AI solutions in real-time applications.
  • Key Responsibilities
  • Perform LLM finetuning using techniques such as prompt tuning and lightweight adaptation methods.
  • Build and manage invocation pipelines from applications to different LLMs (e.g., OpenAI, Anthropic, Mistral, local models).
  • Design prompting strategies to elicit accurate, consistent, and contextually relevant model outputs.
  • Define and evaluate LLM responses based on use case relevance, factual accuracy, and UX quality.
  • Continuously iterate and improve the response quality and user experience based on feedback and metrics.
  • Collaborate with product managers and designers to align AI behavior with business needs and product goals.
  • Required Skills & Experience
  • Proven experience working with LLMs , including prompt engineering and finetuning techniques (e.g., LoRA, PEFT, adapters).
  • Familiarity with frameworks such as Hugging Face Transformers , LangChain , or LLamaIndex .
  • Experience in real-time LLM integration into web or Dialer applications.
  • Strong understanding of response evaluation frameworks , including qualitative and quantitative methods.
  • Programming proficiency in Python ; experience with deployment tools and APIs is a plus.
  • Ability to work in a fast-paced, collaborative, and iterative development environment.

Required Skills

perform llm finetuning using techniques such as prompt tuning and lightweight adaptation methods. build and manage invocation pipelines from applications to different llms (e.g. openai anthropic mistral local models). design prompting strategies to elicit accurate consistent and contextually relevant model outputs. define and evaluate llm responses based on use case relevance factual accuracy and ux quality. continuously iterate and improve the response quality and user experience based on feedback and metrics.