- Design and develop autonomous AI agents capable of reasoning, planning, and task execution.
- Integrate LLMs, APIs, databases, and external tools into agent workflows.
- Develop memory, context management, and tool-calling capabilities using MCP and related protocols.
- Monitor, evaluate, and optimize agent performance using agentic evaluation techniques.
- Implement AI governance, security, compliance, and risk management controls.
- Collaborate with product, DevOps, and business teams to automate enterprise workflows.
- Deploy and maintain scalable agentic AI systems in production environment.
- Master's/PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Bachelors with relevant experience will be considered.
- Strong proficiency in Python and modern software engineering practices.
- Experience with machine learning, deep learning, and large language models.
- Understanding of APIs, cloud platforms, and distributed systems.
- Ability to build and deploy production-ready AI applications.
Skills Required
- Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field
- Bachelor's degree with relevant experience may be considered
- Strong proficiency in Python and modern software engineering practices
- Experience with machine learning, deep learning, and large language models
- Understanding of APIs, cloud platforms, and distributed systems
- Ability to build and deploy production-ready AI applications
What We Do
Intangles is an IOT company based out of Pune with its expertise in Advance Telemetry and Operations Automation. Intangles has developed its own set of proprietary algorithms which allows fleet operators to monitor the performance of the vehicle in real time. The biggest USP is the state of the art proprietary algorithms which allows fleet operators to take informed decisions. Intangles aspires to be the world’s foremost authority in Telemetry and Vehicle Performance monitoring through predictive/prognostic monitoring and benchmarking performance of the vehicle based on its own Data analytics platform “Indium”. Our vision is to help fleet operators monitor, benchmark and do predictive maintenance of assets and identify underperforming assets to increase overall operational profits.
