• We are looking for a highly skilled Python Developer to join our dynamic team. The ideal candidate will have extensive experience in Python development, a strong understanding of software engineering principles, and hands-on expertise in designing, developing, and deploying scalable applications.
  • Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • 7+ years of experience.
  • Bachelor’s degree in Comp Science / IT (or equivalent) with strong background in programming
  • Expert-level Python programming with strong debugging skills
  • Advanced experience with Flask for API development and deployment
  • Proficiency in SQL, including complex query optimization and database design
  • Strong understanding of software development best practices and documentation
  • Hands on knowledge of working with LLM provider APIs like GPT, Claude, Cohere etc.
  • Knowledge of working with at least one Agent framework like langchain, agentstudio.
  • Expericence of working with Azure and containerized applications.
  • Experience with data science libraries (NumPy, Pandas, Scikit-learn)
  • Experience with multiple programming languages like Java, C# .NET would be a plus

#LI-Hybrid

#LI-HK1

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million contracts worth more than $1 trillion, in 40+ languages and 93 countries.

Location

Pune, Maharashtra, India

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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