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AI / ML

GenAI Developer

Infosys

3–4 yrsOn-site · Bengaluru East, Karnataka, IndiaFull-timeListed 29d ago
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Experience 3–6 yrs (3–4 years)

About the role

structured by ORI

3-4 years of hands-on experience in GenAI / AI / ML Strong knowledge of LLMs, NLP, deep learning concepts Expertise in Python, AI frameworks (PyTorch/TensorFlow) Experience with LangChain, vector databases, RAG architectures Good understanding of cloud platforms (Azure OpenAI preferred) Experience in API integrations…

What you will do

  • Design and implement Generative AI solutions using LLMs (GPT, Llama, etc.)
  • Build and optimize prompt engineering frameworks and AI pipelines
  • Develop AI-powered applications using Python, LangChain, and relevant frameworks
  • Integrate GenAI solutions with enterprise systems and APIs
  • Fine-tune and deploy models across cloud platforms (Azure/AWS/GCP)

What they are looking for

  • 3-4 years of hands-on experience in GenAI / AI / ML
  • Strong knowledge of LLMs, NLP, deep learning concepts
  • Expertise in Python, AI frameworks (PyTorch/TensorFlow)
  • Experience with LangChain, vector databases, RAG architectures
  • Good understanding of cloud platforms (Azure OpenAI preferred)
  • Experience in API integrations and microservices architecture

Nice to have

  • Experience with fine-tuning models and embeddings
  • Exposure to MLOps tools and deployment pipelines
  • Strong problem-solving and stakeholder communication skills
GenAIAIMLLLMsNLPDeep LearningPrompt EngineeringMicroservicesPythonPyTorchTensorFlowLangChainVector DatabasesRAGAzure OpenAIAzure
Full posting text

3-4 years of hands-on experience in GenAI / AI / ML Strong knowledge of LLMs, NLP, deep learning concepts Expertise in Python, AI frameworks (PyTorch/TensorFlow) Experience with LangChain, vector databases, RAG architectures Good understanding of cloud platforms (Azure OpenAI preferred) Experience in API integrations and microservices architecture Preferred Skills: Experience with fine-tuning models and embeddings Exposure to MLOps tools and deployment pipelines Strong problem-solving and stakeholder communication skills

Design and implement Generative AI solutions using LLMs (GPT, Llama, etc.) Build and optimize prompt engineering frameworks and AI pipelines Develop AI-powered applications using Python, LangChain, and relevant frameworks Integrate GenAI solutions with enterprise systems and APIs Fine-tune and deploy models across cloud platforms (Azure/AWS/GCP) Ensure scalability, performance, and responsible AI practices Collaborate with cross-functional teams for solution delivery

Experience: 12–15 Years Relevant Experience: 3+ Years in GenAI/AI/ML Location: Bangalore

Engineering and Information TechnologyIT Services and IT Consulting
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