
Generative AI Engineer
4 weeks ago
About company :
- Work on proposals, Provide solutions architecture design solution on different business use cases.
- Ability to work across various different GenAI Models and cloud providers.
- Should have a strong experience in implementing projects in Digital Engineering Or Data Analytics.
- Technically lead a team of developers and groom talent.
- Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack.
- Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java.
- Ability to build API based scalable solutions and debug & troubleshoot software or design issues
- Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.
- Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS.
- Basic data engineering skills to load structured & unstructured data from source systems to target data stores.
- Build and maintain data pipelines and infrastructure to support.
- Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat.
- Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG.
Key Responsibilities :
- Drive key initiatives under the Gen AI Center of Excellence (CoE) focusing on cutting-edge trends and innovative proof-of-concepts (PoCs).
- Design solutions and provide architecture recommendations for diverse business use cases using Gen AI.
- Collaborate with cross-functional teams to develop proposals and present AI-driven solutions to clients.
- Work across multiple Gen AI models and cloud platforms (Azure, AWS, GCP) to deliver scalable applications.
- Lead a team of developers, mentor junior engineers, and drive technical excellence within the team.
- Collaborate with business and technical stakeholders to align development efforts with organizational goals.
(ref:hirist.tech)-
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