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AI Lead Engineer

CareerNet Technologies Pvt Ltd

 

Pune, Maharashtra, India

Posted On: 30+ days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: AI Lead Engineer
Tenure: No Preference/Any
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Description

Key Skills: Python, Artificial Intelligence, Machine Learning, LangChain, TensorFlow, PyTorch, Docker, Kubernetes, API Development, Banking Technology

Good to Have Skills: Angular, React, Next.js, Node.js, TypeScript for full-stack development. Java with Spring Boot, Spring Cloud, and Spring Security. Experience with Google ADK, LanGraph, AutoGen, CrewAI, N8N frameworks. Knowledge of Oracle, Postgres, MongoDB databases. Understanding of regulatory environments in financial services.

Roles & Responsibilities:

  • Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases.
  • Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions.
  • Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement.
  • Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization.
  • Proactively explore, prototype, and integrate the latest advancements in AI, particularly in agent-based systems and generative AI technologies.
  • Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers and data scientists.
  • Create, deploy, and integrate Model Context Protocol (MCPs) into agentic AI systems for enhanced functionality.

Experience Required: 10+ years of progressive software engineering experience with strong emphasis on hands-on coding and proven track record of launching AI features into production. Minimum 3+ years of dedicated professional experience in AI, prompt engineering, machine learning, and generative/agentic AI systems. Strong hands-on experience with architecting and delivering enterprise scale AI projects.

Education: Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Robotics, or a related quantitative field; Master's degree preferred

Education

Any Graduate

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