Software Engineer – Generative AI Projects

Work model: Remote

About the Role

As a Software Engineer specializing in Generative AI projects, you will be involved in developing and deploying cutting-edge AI solutions within the Azure ecosystem. Collaborating closely with Data Scientists, AI Engineers, and DevOps you will integrate AI-driven capabilities into our business applications, ensuring they are scalable, secure, high-performing and high quality.

Our mission is to harness Artificial Intelligence to revolutionize enterprise processes, embedding AI deeply into our business framework. Your expertise in Azure services and AI/ML technologies will be crucial in realizing this vision.

Key Responsibilities

• Design & Development: Create, develop, and deploy AI/ML-based applications using Azure services.
• LLM Implementation: Develop and optimize Large Language Model (LLM) based solutions tailored to real-world business cases.
• API & Microservices Development: Build and maintain APIs and microservices to efficiently serve AI/ML-based solutions to customers.
• Software development: Streamline model operationalization, model inference backend development.
• Compliance: Ensure all AI solutions adhere to security, development and governance standards.
• Code Quality: Write and maintain unit tests, ensure robust test coverage, and enforce best coding practices (clean code, maintainability, and performance optimization).
• Technical Documentation: Create clear, concise technical documentation for developed components.
• Agile Practices: Work in Agile/Scrum teams to deliver high-quality applications on schedule.
• Collaboration: Work closely with Data Scientists and AI Engineers to integrate AI/L into business solutions

Required Skills and Experience

• At least 3 years of experience in a similar position
• Programming Proficiency: Strong command of Python for AI/ML development.
• Experience in AI/ML: Understanding of Generative AI, LLMs, ML, and (optionally) Natural Language Processing (NLP) technologies. Experience in deploying Generative AI, LLM and ML is an advantage.
• Azure Services: Experience with Azure AI/ML services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Containerization: Familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying AI models.
• API Development: Proven experience in developing and maintaining RESTful APIs and microservices.
• DevOps Knowledge: Solid understanding of CI/CD pipelines and DevOps best practices within the Azure environment.
• Team Collaboration: Ability to thrive in an Agile environment and work effectively with multidisciplinary teams.
• Language Skills: Proficient in English (spoken and written), with a minimum level of B2.

Technology Stack

• Cloud & AI/ML: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS.
• Development Tools: Azure DevOps, Databricks, Python, Docker, Kubernetes/AKS.
• MLOps: MLflow (Databricks).

Preferred Qualifications

• Vector Databases: Experience working with vector databases.
• Prompt Engineering: Knowledge of prompt engineering and strategies for LLM orchestration
• Code: Proficiency in Python code development in compliance with coding practises and industry standards.
• AI Security: Practical experience with AI security measures and model governance.

Why Join Us?

If you're passionate about building AI-powered solutions, eager to work with state-of-the-art GenAI technologies, and motivated to drive innovation in AI applications, we'd love to hear from you Join our team and contribute to transforming enterprise processes through advanced AI integrations.

What we offer:

Extensive benefits package: Multisport Card, LuxMed medical healthcare including dental care, life insurance, cafeteria benefits,

Office perks: dedicated space for gaming and wellness activities, kitchen equipped with snacks and drinks,

Open-minded and multinational environment,

Opportunity to be part of a global organization focused on development,

Professional development and clear career path,

Training & development opportunities including language courses.

For more information about us, visit Cognizant Poland.

If you are looking for another opportunity and are interested in the company, do not hesitate to apply online

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

Cognizant is a global community with more than 300,000 associates around the world.

We don't just dream of a better way – we make it happen.

We take care of our people, clients, company, communities and climate by doing what's right.

We foster an innovative environment where you can build the career path that's right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.