AI Platforms & Distributed Systems

• Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address real-world engineering challenges.

• Build intelligent agents and user interfaces that integrate seamlessly into engineering workflows.

• Develop robust data ingestion, transformation, and analysis pipelines tailored to chip design and debug use cases.

• Build distributed computing architectures and scalable backend services.

• Design intuitive user interfaces and intelligent agents for engineering teams.

• Implement robust ETL pipelines and integrate with SQL/NoSQL databases.

• Collaborate with team leads to ensure timely delivery and high-quality solutions.

• Provide technical support and training to internal teams, helping resolve issues and improve adoption.

• Engage in cross-functional initiatives to solve technical problems across departments.

• Continuously contribute to the innovation and evolution of tools, technologies, and user experiences.

Minimum Qualifications:

• Bachelor’s/Master's degree in Computer Science with minimum 7+ years of work experience

• Very Strong in data structures, algorithms, and software design principles.

• Strong programming skills in Python and C/C++.

• Experience in building scalable software systems and solving complex technical problems.

• Experience with software architecture and design patterns.

• Fast learner with a strong technical foundation and ability to work independently.

  • Very Strong Analytical and problem Solving Skill.