Senior Generative AI Engineer
Job Summary
Job Description
The Senior Generative AI Engineer at Ness Romania SRL will design, develop, and integrate AI-driven solutions into Matrix application ecosystems. Responsibilities include collaborating with cross-functional teams, conducting research on advancements in Generative AI, optimizing AI prompts and models, working on end-to-end development (ideation to deployment), staying updated on industry trends, participating in code reviews, and ensuring seamless integration of AI components. The ideal candidate possesses a strong understanding of Generative AI, proficiency in Python and AI frameworks, experience with LLMs (ChatGPT, Claude, AWS Bedrock), knowledge of prompt engineering, and familiarity with cloud platforms.
Must have:
- Generative AI expertise
- Python & AI framework proficiency
- LLM experience (ChatGPT, Claude, AWS Bedrock)
- Prompt engineering knowledge
- Cloud platform familiarity
Perks:
- Training and certifications
- Bonuses
- Socializing activities
- Attractive compensation
7 skills required
Job Details
Description
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
About the role
We are seeking a talented Senior Generative AI Engineer with a strong knowledge in Generative AI and emerging technologies to join our dynamic team. As a Generative AI Engineer, you will work on designing, developing, and integrating AI-driven solutions into Matrix application ecosystems. This role requires a problem-solving mindset, hands-on experience with AI models, prompt engineering and a drive for continuous learning and innovation.
Requirements and responsibilities
What you’ll do:
- Collaborate with cross-functional teams to develop, implement, and refine Generative AI solutions.
- Conduct research and experiment wixth the latest advancements in Generative AI to ensure our solutions remain at the forefront of innovation.
- Optimize and fine-tune AI prompts and/or models for performance, scalability, and efficiency.
- Work on end-to-end development, from ideation to deployment, ensuring seamless integration of AI components into existing platforms.
- Stay informed on industry trends, emerging technologies, and best practices, contributing to a culture of continuous learning.
- Participate in code reviews, provide constructive feedback, and uphold high coding standards and best practices.
What you’ll bring:
- Solid understanding of Generative AI concepts and hands-on experience in developing AI-powered applications.
- Proficiency in programming languages such as Python, with experience in AI frameworks.
- Experience working with AI LLMs such as ChatGPT, Claude, and AWS Bedrock and RAG pipelines.
- Knowledge of prompt engineering and its optimisations.
- Familiarity with cloud platforms, containerization, and orchestration (e.g., AWS).
- Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
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