
Generative AI Engineer
4 weeks ago
Immediate Joiner For Gen AI @ Hyderabad Location:
Key Responsibilities:
- Design and implement application architecture for Generative AI use cases, reducing ideation-to-implementation time significantly.
- Lead the development of advanced AI platforms capable of automating full-stack software creation from simple prompts , incorporating features like self-healing and auto-generated tested code.
- Develop and deploy sophisticated knowledge bots and conversational AI using historical data and SOPs to dramatically reduce resolution times for L2 support.
- Create chatbots for ITOps automation that generate deployment scripts for Ansible and Terraform based on existing SOPs.
- Pioneer the creation of dynamic, multi-agent AI frameworks using Langchain to provide innovative solutions for customer use cases.
- Orchestrate and deploy a variety of machine learning models, including TensorFlow, CNN, and SciPy, to automate ITSM workflows.
- Lead Generative AI development projects across multiple client engagements and train and mentor other associates in the field.
- Drive innovation within the company, including contributing to patentable inventions in AI product development.
Required Qualifications & Skills:
- Experience: 6+ years of professional experience in software development and AI.
- Education: Bachelor of Technology in Electronics and Communications Engineering or a related field.
- Generative AI Platforms: Hands-on experience with Azure Open AI, Google Cloud Platform (GCP), Groq, and HuggingFace.
- Large Language Models (LLMs): Deep proficiency with models such as GPT-4o, GPT-4, Llama 3.2/3.1, Google Gemini (Pro, Flash), and Mistral/Mixtral.
- AI Frameworks: Expertise in Langchain, Autogen, and Crew AI.
- Vector Databases: Skilled in using vector databases like PGVector, ChromaDB or the likes.
- Databases: SQL server or PostgreSQL experience.
- Programming: Expert-level Python, Java, Node JS and React programming skills.
- DevOps & MLOps: Experience with Azure DevOps, automated testing, and MLOps practices.
- Machine Learning: Proficient in developing, deploying, and optimizing TensorFlow models.
Interested candidates kindly share resume on below mail id:
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