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UM

AI & ML Engineer

Alter Domus

Hyderabad, Telangana, India · Tempo total

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Experiência
3+ anos
Salário
Vagas
1
Publicado
há 4 horas
Modo de trabalho
No escritório
Educação
None
Elegibilidade
Candidates with no formal graduation requirement may apply.
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Onde você trabalhará

Descrição da vaga

Overview

Join Alterdomus India Private Limited as an AI & ML Engineer in Hyderabad, focusing on developing advanced AI solutions integrated into enterprise products.

Key Responsibilities

  • Develop and maintain AI and machine learning pipelines, integrating large language model (LLM) APIs within Alter Domus product offerings.
  • Create agentic AI workflows leveraging frameworks such as LangChain, LangGraph, AutoGen, and protocols like MCP/A2A.
  • Integrate AI assistant capabilities with enterprise systems through RESTful APIs, webhooks, and microservice architectures.
  • Utilize low-code development platforms and AI-assisted programming tools to quickly prototype innovative AI solutions.
  • Implement and maintain unit and integration testing and manage continuous integration/continuous deployment (CI/CD) workflows using Docker and Kubernetes.
  • Optimize prompt engineering techniques, refine prototypes iteratively, and facilitate knowledge base vectorization processes.

Required Qualifications & Experience

  • Minimum 3 years of practical experience with Python programming and related libraries including NumPy, Pandas, PyTorch, and TensorFlow.
  • Hands-on expertise in building agentic AI workflows using LangChain, LangGraph, AutoGen, or CrewAI.
  • Proficiency with vector databases such as Pinecone or Qdrant and comprehensive understanding of natural language processing (NLP) and retrieval-augmented generation (RAG).
  • Demonstrated experience developing and integrating REST APIs and working within microservice architectures.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform alongside containerization technologies including Docker and Kubernetes.
  • Strong skills in prompt engineering and tuning large language models through platforms such as Azure OpenAI or AWS Bedrock APIs.

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