Senior AI Engineer

1 day ago

Thrissur, Kerala, India beBeeEngineering Full time ₹ 30,00,000 - ₹ 50,00,000
AI Engineering Lead

We're seeking a seasoned AI engineering lead to spearhead the design, development, and deployment of cutting-edge GenAI projects leveraging Large Language Models (LLMs) on cloud platforms.

  • The ideal candidate will have 6-8 years of experience working on AWS & GenAI.

Key Responsibilities:

  • Design and implement scalable, event-driven cloud-native solutions using AWS Lambda, SNS/SQS, Step Functions, and related services.
  • Develop and drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.
  • Oversee fine-tuning, embeddings, and conversational flow development to build intelligent, context-aware AI applications.
  • Integrate and manage LLM APIs such as Azure OpenAI and other emerging models to deliver cutting-edge AI capabilities.
  • Utilize vector databases (ElasticSearch, Open Search, or similar) for embedding-based search and Retrieval-Augmented Generation (RAG).
  • Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to align AI solutions with business goals.
  • Mentor and guide technical teams on best practices in GenAI development and cloud architecture.
  • Stay abreast of the latest advancements in AI, cloud technologies, and LLM frameworks to continuously innovate and improve solutions.

Required Skills & Qualifications:

  • Proven hands-on experience integrating Large Language Models (LLMs) into real-world applications.
  • Strong programming skills in Python and experience with web frameworks such as FastAPI or Flask.
  • Expertise in cloud architecture, particularly AWS services including Lambda, SNS/SQS, Step Functions, and event-driven design patterns.
  • Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI; familiarity with other models like LLaMA is a plus.
  • Experience working with vector databases such as ElasticSearch, Open Search, or other vector search engines.
  • Proficiency in prompt engineering techniques including prompt versioning, optimization, and chain-of-thought design.
  • Familiarity with LLM frameworks such as LangChain and LlamaIndex.
  • Experience with embedding-based search and Retrieval-Augmented Generation (RAG) methodologies.
  • Strong skills in model evaluation, including output analysis, performance tuning, and quality benchmarking.
  • Excellent leadership, communication, and project management skills.

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