Agentic AI & GenAI Engineer

We are looking for a skilled  and delivery-focused Agentic AI & GenAI Engineer who is passionate about developing innovative solutions using Agentic AI frameworks. The ideal candidate should have experience in designing implementing and optimizing Agentic workflow and building scalable production-grade Agentic AI models.

Key Responsibilities:

• Develop test and manage day-to-day execution of AI projects ensuring timely delivery quality and alignment to architectural design.
• Translate architectural blueprints into executable components prototypes and production-ready services.
• Oversee the development of GenAI applications RAG pipelines and agent-based solutions using frameworks like Langchain LangGraph and Google ADK.
• Work on data preprocessing feature engineering and model optimization.
• Optimize performance of existing Agentic AI models and pipelines.
• Review code support reusable component development and enforce engineering best practices.
• Utilize cloud-based services (AWS Azure or GCP) for model deployment and scaling.
• Stay updated with the latest advancements in AI ML and data science.
• Debug troubleshoot and resolve performance bottlenecks in applications.

Qualifications :

Required Skills & Qualifications:

• Strong proficiency in AI/ML engineering or software development using Python and its frameworks.
• Experience delivering projects using GenAI LLMs or Transformer models and Agentic AI based solutions.
• Solid understanding of prompt engineering APIs data preprocessing and model integration.
• Exposure to vector databases and RAG architectures for enterprise knowledge retrieval. Exposure to MCP and Agent to Agent Communication
• Familiarity with SQL NoSQL and data warehousing solutions and ability to analyze complex datasets and derive meaningful conclusions.
• Understanding of CI/CD pipelines Docker and Kubernetes for AI model deployment.

Remote Work :

No

Employment Type :

Full-time