AI Engineer / GenAI Developer ( 2 - 5 Years )

About the Role:

Python

Key Responsibilities:

• Develop, fine-tune, and integrate

  Generative AI

  and

  LLM-based

  solutions for business use cases. 
• Build and optimize

  speech-to-text

  pipelines using open-source and cloud-based APIs. 
• Implement

  agent-based AI systems

  leveraging tools like

  LangGraph

  ,

  Google Agent Kit

  , or

  Crew AI

  . 
• Deploy AI workloads on

  Azure AI Services

  and

  Google Cloud AI

  environments. 
• Integrate AI features into existing products using

  Python

  , APIs, and SDKs. 
• Work with

  open-source LLMs

  (LLaMA, Mistral, Falcon, etc.) for fine-tuning and inference. 
• Collaborate with cross-functional teams to align AI solutions with business goals. 
• Stay updated with advancements in

  Generative AI

  ,

  Agentic AI

  , and related frameworks. 

Required Skills & Qualifications:

• Programming:

  Strong in Python (AI/ML libraries like Transformers, LangChain, Hugging Face). 

• GenAI & LLMs:

  Experience with fine-tuning, prompt engineering, and deployment. 

• Speech-to-Text:

  Knowledge of Whisper, Vosk, Azure Cognitive Speech, or similar. 

• Open-Source AI Models:

  LLaMA, Mistral, Falcon, Gemma, etc. 

• Cloud Platforms:

  Azure AI, Google Cloud AI (Vertex AI). 

• Agentic AI:

  Familiarity with LangGraph, Crew AI, Google Agent Kit, NVIDIA AI tools. 
• Understanding of

  AI pipelines

  ,

  APIs

  , and

  vector databases

  (Pinecone, Weaviate, Chroma). 
• Strong problem-solving and analytical skills. 
• Excellent communication and collaboration abilities.