Senior AI Engineer Subcontractor | Ukraine
Deloitte
Description & Requirements
Who we are looking for
We are looking for a Senior AI Engineer with strong software engineering expertise and hands-on experience in AI, Machine Learning, and Generative AI.
You should have:
Your future role
As a Senior AI Engineer, you will design, develop, and maintain scalable AI, Machine Learning, and Generative AI solutions.
You will:
Deloitte provides audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to clients around the world.
Our professionals combine business knowledge, industry experience, and technology expertise to help organizations address complex challenges and create sustainable value.
About the team
US Deloitte Technology Product Engineering develops digital products for Deloitte’s businesses, service lines, and internal operations.
You will work in a cross-functional environment with product, engineering, experience, and delivery professionals. The team focuses on scalable engineering, modern delivery practices, continuous learning, and measurable business outcomes.
Who we are looking for
We are looking for a Senior AI Engineer with strong software engineering expertise and hands-on experience in AI, Machine Learning, and Generative AI.
You should have:
- 8+ years of experience in software engineering, AI, or Machine Learning, including at least 2 years with Generative AI
- Strong Python skills and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
- Experience with LLMs, AI agents, vector databases, prompt engineering, fine-tuning, or Retrieval-Augmented Generation
- Familiarity with platforms and tools such as OpenAI, Claude, Gemini, Databricks, or LangChain
- Strong knowledge of software design, data structures, algorithms, SQL, and NoSQL databases
- Experience with cloud-native solutions on Azure, AWS, or Google Cloud Platform
- Knowledge of DevSecOps, CI/CD, automated testing, and Agile practices
- Strong communication, collaboration, and problem-solving skills
Your future role
As a Senior AI Engineer, you will design, develop, and maintain scalable AI, Machine Learning, and Generative AI solutions.
You will:
- Translate business needs into technical designs and high-quality code
- Contribute to architecture, development, testing, integration, deployment, and production support
- Build solutions using LLMs, AI agents, vector databases, and Retrieval-Augmented Generation
- Create prototypes to validate technical ideas and customer value
- Ensure the scalability, security, quality, and maintainability of solutions
- Apply Agile, DevSecOps, CI/CD, and cloud-native engineering practices
- Review code, mentor engineers, and contribute to technical standards
- Collaborate with product, engineering, delivery, and customer teams
- Communicate technical decisions and trade-offs to different stakeholders
- The opportunity to work on innovative AI and Generative AI solutions with practical business impact
- Involvement across the full product development lifecycle
- Collaboration with experienced, cross-functional teams
- Access to modern AI technologies, cloud platforms, and engineering tools
- Opportunities for continuous learning, technical leadership, and knowledge sharing
- A collaborative and inclusive working environment
- B2B contract in Ukraine (FOP)
- Technical interview focused on software engineering and AI experience
- Discussion with the hiring team about the role and mutual expectations
- Final feedback and decision
Deloitte provides audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to clients around the world.
Our professionals combine business knowledge, industry experience, and technology expertise to help organizations address complex challenges and create sustainable value.
About the team
US Deloitte Technology Product Engineering develops digital products for Deloitte’s businesses, service lines, and internal operations.
You will work in a cross-functional environment with product, engineering, experience, and delivery professionals. The team focuses on scalable engineering, modern delivery practices, continuous learning, and measurable business outcomes.
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