AI and GenAI Solutions Developer

1 week ago

Rajahmundry, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 40,00,000 - ₹ 50,00,000
AI/GenAI Engineer

We are seeking a highly skilled AI/GenAI engineer to join our team and contribute to the design, development, and deployment of innovative AI and GenAI solutions.

Key Responsibilities:
  • Develop and maintain scalable AI/GenAI models and applications tailored to business needs.
  • Collaborate on solution design, prototyping, testing, and deployment with cross-functional teams.
  • Evaluate, develop AI/GenAI solutions using leading-edge technologies such as LLMs (Large Language Models), fine-tuning, and prompt engineering.
Infrastructure & Technology Stack:
  • Assist in designing and deploying infrastructure components for AI workloads across cloud environments.
  • Work with Azure services such as MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.
Security & Compliance:
  • Implement security controls to safeguard data and models.
  • Ensure AI solutions comply with internal security and governance standards.
Collaboration & Enablement:
  • Work closely with business and IT teams to understand requirements and deliver solutions.
  • Support training sessions and create documentation to enable users and developers.
  • Participate in knowledge-sharing initiatives and contribute to a community of practice.
Job Requirements:
  • Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, or a related field.
  • Min. 4 years of experience in the IT industry, with 3 years in AI/GenAI development.
  • Working knowledge of AI/GenAI technologies including ML, NLP, and generative models.
  • Familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
  • Experience with Azure Cloud services, MS OpenAI, AI Search, Form Recognizer, ADLS, Cosmos DB.
  • Deep understanding and practical experience with LLMs such as GPT, Llama, Claude, T5, BERT, etc.
  • Familiar with open source projects like LangChain, LlamaIndex, OpenLLM.
  • Excellent knowledge in Prompt Engineering, RAG, fine-tuning, agentic AI.
  • Understanding MLOps and DataOps practices.
  • Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (especially Azure).
  • Experience with REST APIs and development frameworks like Django, Express.js, or Spring Boot.
  • Exposure to data platforms, NoSQL/RDBMS design, and analytics tools.
  • Strong problem-solving skills and a passion for innovation.

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