Generative AI Engineer

About the Company:

#EverestDX Inc, a Product and Services company headquartered in Stamford, with global delivery centers in Hyderabad and Chennai . Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.

Digital Transformation Services

Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.

Digital Platform

To know more please visit: http://www.everestdx.com

Job Title:

Experience:

Location:

Employment Type:

Gen AI Developer

Key Responsibilities:

• Develop, fine-tune, and deploy

  Large Language Models (LLMs)

   for various use cases.
• Build and optimize

  AI/ML workflows

   using tools like

  Azure AI/ML Studio, AWS Bedrock, and OpenAI APIs

  .
• Implement

  chatbots

   and AI-driven applications with frameworks like

  LangChain and Hugging Face

  .
• Train and fine-tune models for

  NLP, text generation, embeddings, and multimodal AI

   applications.
• Work with

  vector databases, embeddings, and prompt engineering

   for AI-powered search and recommendations.
• Design and deploy AI/ML solutions on

  AWS, Azure, and other cloud platforms

  .
• Integrate AI models into production environments and optimize them for scalability and efficiency.
• Collaborate with cross-functional teams, including data engineers and software developers, to enhance AI capabilities.
• Stay updated with the latest trends in

  AI/ML, Gen AI, and cloud AI services

  .

Required Skills:

• Strong programming skills in

  Python

   with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Experience with

  LangChain, OpenAI APIs, Hugging Face Transformers

  .
• Hands-on expertise in

  training and fine-tuning LLMs

   (GPT-4, Falcon, Llama, Claude, Mistral, etc.).
• Experience in

  deploying AI models on AWS (SageMaker, Bedrock, Lambda) and Azure (AI/ML Studio, OpenAI services)

  .
• Knowledge of

  RAG (Retrieval-Augmented Generation)

   and vector databases (Pinecone, FAISS, LanceDB, Redis Stack).
• Experience with

  MLOps, model monitoring, and continuous training pipelines

  .
• Understanding of

  cloud-native architectures, APIs, microservices, and containerization (Docker, Kubernetes)

  .
• Strong problem-solving and analytical skills.

Preferred Skills:

• Experience with

  multi-modal AI (text, image, voice models)

  .
• Exposure to

  serverless AI architectures

  .
• Familiarity with

  data engineering for AI pipelines

  .
• Experience in

  secure and responsible AI practices

  .

If you’re passionate about building the future of Gen AI, LLMs, and AI-powered applications,, send your resume to everestdxhr@everestdx.com

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