Description

You will develop solutions leveraging AI/ML and Generative AI across complex systems.

Responsibilities

• Code solutions and unit tests to meet acceptance criteria and compliance requirements.
• Design, develop, and modify architecture components and application interfaces while maintaining architectural integrity.
• Mentor engineers and coach the team on CI/CD practices and automation of the tool stack.
• Perform spikes and proofs of concept to mitigate risk or implement new ideas.
• Design, develop, and maintain automated test suites (integration, regression, performance).

Required Skills

• 5+ years of software development experience on large, complex systems.
• Expert-level development skills in OOP using Python, Scala, or Java.
• Hands-on experience with Generative AI and the RAG process (chunking, embedding, retrieval, reranking, summarization).
• Experience building API-based applications using FastAPI, JWT Integration, and API Gateways.
• Experience with AI/ML/GenAI Lifecycle Management and its Ecosystem.
• Hands-on experience building frameworks using MLOps and Fine-Tuning techniques.
• Experience working in large teams on shared multi-repo codebases using CI/CD.
• DevOps experience with tools like GIT/Bitbucket, Jenkins, SonarQube, or Ansible.
• Familiarity with MongoDB, Redis, Angular, or React Frameworks.

Key Skills

Education

Any Gradute