Requirements
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
• 3 to 5 years of experience with one or more of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 1+ years of experience building AI/ML applications, with hands-on GenAI exposure across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, or vector databases.
• 1+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or Google Cloud Platform, including exposure to their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
• Working knowledge of engineering standards and best practices, with a willingness to learn and adopt new standards under guidance.
• Understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, and algorithms.
• Exposure to methodologies and tools such as Agile, DevSecOps, ADO, GitHub, SonarQube, MLflow, or agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent) is a plus.
• Ability to work in your local office at a minimum of 3 days per week.
• Limited immigration sponsorship may be available.
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Eagerness to learn and receive mentorship from senior team members
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