Highlights
Opportunity to work on cutting-edge AI research, hands-on experience with large-scale enterprise data environments, and exposure to advanced AI infrastructure.
Description
Job Summary
pWe are seeking an AI/ML Research Engineer to join our dynamic team. You will be responsible for designing, developing, and deploying agentic AI systems and LLM-based applications that transform enterprise data into actionable insights. This role requires a blend of research thinking and hands-on engineering skills.
Responsibilities
- Design and develop scalable agentic AI systems and LLM-based applications.
- Build and optimize AI/ML models using Python, including prompt engineering for large language models (LLMs).
- Develop AI assistant-style and agent-based applications that automate complex workflows.
- Work with enterprise-scale data systems such as SAP HANA, DB2, and SQL Server.
- Evaluate and select appropriate AI models based on use case requirements and performance trade-offs.
Required Skills
- Python programming
- Natural Language Processing (NLP)
- Prompt engineering for LLMs
- SQL expertise
- Data analysis with advanced SQL
Required Skills Explained
- Python Programming: Essential for building and optimizing AI/ML models.
- Natural Language Processing (NLP): Crucial for understanding and processing text data effectively.
- Prompt Engineering: Key skill for creating effective prompts to guide large language models (LLMs).
- Database Management: Expertise in working with enterprise databases such as SAP HANA, DB2, and SQL Server is required.
- Cloud AI/ML Platforms: Familiarity with cloud-based AI tools and platforms like Azure or AWS enhances productivity and efficiency.
Who is this for
pThis role is ideal for individuals who are passionate about AI research and development, have a strong background in Python programming, and enjoy working on complex data systems. You should thrive in a fast-paced, collaborative environment.
Why This Job is a Good Opportunity
ulliCutting-Edge Research Projects: Work on state-of-the-art agentic AI systems and LLM-powered applications.liFlexible Environment: Enjoy a dynamic, innovation-driven workplace focused on impact and progress.liProfessional Growth: Leverage strong opportunities for learning, experimentation, and career advancement.liData Privacy and Compliance: Understand the legal framework surrounding data privacy and how your information is handled.
Interview Preparation Tips
- Research the company's AI/ML projects and recent innovations.
- Pick specific examples of successful Python-based NLP projects you have worked on or researched.
- Prepare to discuss your experience with database management, especially in enterprise settings.
- Be ready to talk about any relevant cloud certifications you hold.
Career Growth in This Role
pThe role provides a unique blend of research and engineering responsibilities, offering ample opportunities for career advancement. With the increasing demand for AI solutions across industries, professionals in this field can move into leadership roles or specialize further in areas like model optimization, enterprise-scale data management, or cloud-based deployment strategies.pCollaboration with cross-functional teams will help you develop a broader skill set and gain exposure to diverse problem-solving approaches. The ability to work on cutting-edge AI technologies and large-scale projects can also open doors for more specialized roles in the future, such as chief data scientist or AI solution architect.
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Skills
Frequently Asked Questions
What kind of projects will I work on?You'll design and develop agentic AI systems and LLM-based applications that automate complex workflows.
Is there any opportunity for growth within the company?Yes, we offer strong opportunities for learning, experimentation, and professional development.
What technologies will I be working with?Python, NLP, LLMs, SQL, and enterprise data systems like SAP HANA.
