Senior Gen AI Engineer

2 weeks ago


Pune, Maharashtra, India Encora Inc. Full time

Role – Senior GenAI Engineer

Job Description:

We are seeking a highly skilled Generative AI Engineer to join our team at Encora Inc. The ideal candidate will be responsible for developing and optimizing applications leveraging generative AI, prompt engineering, retrieval-augmented generation (RAG), and LLM integration.

Key Responsibilities:

  • Design, develop, and implement LLM-based solutions using Azure OpenAI, AWS Bedrock, or other APIs.
  • Integrate LLM APIs for various applications, including chatbots, virtual assistants, and custom NLP solutions.
  • Employ prompt engineering techniques to optimize model performance and output.
  • Implement retrieval-augmented generation (RAG) models to enhance LLM response accuracy.
  • Develop LLM workflows and pipelines using frameworks such as LangChain and LlamaIndex for seamless integrations.
  • Collaborate with cross-functional teams to define requirements and deliver AI-powered solutions.
  • Debug, test, and optimize existing LLM integrations to ensure consistent performance.
  • Stay up-to-date with the latest advancements in LLMs, prompt engineering, and generative AI technologies.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • Total experience - 5-8 years
  • 3+ years of hands-on experience working with Python in AI and NLP-based applications.
  • Proven experience in integrating LLM APIs (Azure OpenAI, AWS Bedrock, or similar).
  • Strong understanding of prompt engineering and techniques to optimize LLM behavior.
  • Expertise in orchestration frameworks such as LangChain or LlamaIndex for LLM application development.
  • Experience with retrieval-augmented generation (RAG) models and integrating them into real-world applications.
  • Solid understanding of NLP principles and LLM-based solutions.

Preferred Skills:

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Proficiency in API integration and handling LLM services at scale.
  • Familiarity with vector databases and semantic search techniques.
  • Strong problem-solving skills and ability to work in agile teams.
  • Excellent communication and collaboration skills, able to work with both technical and non-technical stakeholders.


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