Senior Gen AI Engineer
2 weeks ago
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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