Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Contribute in providing solutions to work related problems.
Engage in continuous learning to stay abreast of new technologies and methodologies relevant to application development. Professional & Technical Skills:
Assist in the documentation of application processes and workflows to ensure clarity and consistency.
Requirements
genai
llms
nlp
prompt engineering
sap sd
3 years
Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) - Strong understanding of application development methodologies and best practices. - Experience with integration of SAP SD with other modules and systems. - Familiarity with troubleshooting and debugging techniques to resolve application issues. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. - Additional Information:- The candidate should have minimum 3 years of experience in SAP Sales and Distribution (SD)."