This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Research Engineer based in India.
This role sits at the intersection of applied research and production-grade AI engineering, focusing on the design and deployment of advanced agentic AI systems and LLM-powered applications. You will contribute to building intelligent, scalable solutions that transform enterprise data into actionable insights and autonomous workflows. Working in a fast-paced, collaborative environment, you will experiment with cutting-edge AI frameworks, evaluate model performance across providers, and help shape next-generation AI assistant products. The role blends research thinking with hands-on engineering, requiring strong execution skills and curiosity for emerging AI paradigms. You will also work with complex enterprise-scale data systems and cloud environments to ensure robust, production-ready AI solutions.
Accountabilities:
- Design, develop, and deploy agentic AI systems and LLM-based applications with a focus on scalability, performance, and reliability.
- Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
- Develop AI assistant-style and agent-based applications that automate complex workflows and decision-making processes.
- Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server, leveraging advanced SQL for data processing and analysis.
- Evaluate and select appropriate AI models (e.g., OpenAI, Meta, or others) based on use case requirements and performance trade-offs.
- Collaborate with cross-functional teams to design architecture, integrate models, and deploy solutions in cloud environments.
- Support the development and scaling of AI solutions in enterprise-grade environments, ensuring robustness and maintainability.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Systems Engineering, or a related field, or equivalent practical experience.
- Strong hands-on experience in Python and prompt engineering for large language models (LLMs).
- Proven experience building agentic AI systems or AI assistant-style applications.
- Solid understanding of Natural Language Processing (NLP) and deploying scalable machine learning models.
- Strong SQL expertise and experience working with enterprise databases such as SAP HANA, DB2, and SQL Server.
- Experience working in large-scale enterprise data environments or comparable systems.
- Familiarity with cloud AI/ML platforms and relevant certifications (e.g., Azure AI Engineer, AWS ML) is highly desirable.
- Experience with Model Context Protocol (MCP), predictive modeling, or Node.js is a plus.
- Strong problem-solving mindset with the ability to work in fast-paced, collaborative environments.
- Ability to evaluate trade-offs between different AI models and architectures based on business and technical needs.
Benefits:
- Opportunity to work on cutting-edge AI research and agentic AI systems.
- Exposure to large-scale enterprise data environments and advanced AI infrastructure.
- Collaborative, innovation-driven engineering culture.
- Hands-on experience with leading LLM providers and emerging AI frameworks.
- Strong opportunities for learning, experimentation, and professional growth.
- Flexible and dynamic work environment focused on impact and innovation.