Minimum Qualifications:

• Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems).

OR

Bachelor’s degree in a non-technical field (e.g., Business, Humanities, Marketing) and 1+ year of IT-relevant experience.

OR

High School Diploma or equivalent and 3+ years of IT-relevant experience.

• 2+ years of any combination of academic or work experience with programming (e.g., Java, Python, etc.).

• 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores.

Principal Duties and Responsibilities:

• Applies knowledge and experience to design, develop, create, modify, and validate software, applications, and/or specialized utility programs.
• Design and implement GenAI agents and applications.
• Develop and implement data pipelines, ensuring seamless integrations
• Design and implement APIs to make generative AI agents, data, and models accessible, adhering to software engineering best practices.
• Collaborate with developers, data scientists, and business teams to implement GenAI solutions.
• Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.
• Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.
• Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules.

Preferred Qualification:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Software Engineering, Systems Engineering, or related work experience.
• Minimum of 1 years of strong experience in Application development using Python
• Minimum of 1 years of experience in AI/ML technologies and 1 year of GenAI experience.
• Proven track record of developing Gen AI solutions and deploying to production environment.
• Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
• Expertise with at least one cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Proficiency in Python, SQL and NoSQL databases. Familiarity with LLMs (like Open AI models, Llama), AI agent frameworks (like LangChain, LlamaIndex, Autogen), machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn).
• Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
• Ability to thrive in a fast-paced and dynamic environment.
• Advanced degree (MS) in Computer Science, Artificial Intelligence, Machine Learning or related field.
• Cloud Certified – Azure/AWS/GCP
• Strong debugging and analysis skills, for root causing complex issues.
• 4+ years of experience in software development, data science, data analytics, or related field.
• Experience in designing and implementing solutions using LLMs, RAG, Vector databases, Sematic Search, Model fine-tuning.
• Experience working within large global matrix organizations.