Data Engineer / Prompt Engineer

Location: Bangalore

Experience: 5–8 years

About the Role:

The AI specialist within the innovation POD, responsible for designing, building, and optimising GenAI and Agentic AI solutions for business use cases across Supply Chain, Procurement and other domains.

Key Responsibilities:

- Design and develop GenAI/Agentic AI solutions and workflows
- Build and optimise prompts, chains, and agents using LLM frameworks
- Develop data pipelines and perform data analysis to support AI use cases
- Benchmark different AI models to select the most appropriate for each use case
- Evaluate and recommend appropriate AI models and tools for each use case
- Build autonomous/semi-autonomous AI agents for business process automation
- Collaborate with the Full-Stack Developer to integrate AI capabilities into applications
- Stay current on the latest GenAI/Agentic AI developments and bring recent ideas to the team
- Present AI solutions and their business impact to client stakeholders

Must-Have Skills:





- 5–8 years of experience in Data Science, ML Engineering, or AI
- Strong hands-on experience with Large Language Models (GPT, Claude, open-source models)
- Proficiency in prompt engineering and LLM application frameworks (e.g., LangChain, LlamaIndex)
- Strong experience with Microsoft Azure
- Experience building Agentic AI workflows (multi-agent systems, tool- use, autonomous agents)
- Strong Python skills
- Understanding of data analysis, NLP, and ML fundamentals
- Good communication skills for client-facing interactions

Good to Have:

- Experience with Microsoft Azure AI Services and Azure OpenAI
- Knowledge of RAG architectures and vector databases
- Familiarity with MLOps practices and model deployment pipelines
- Prior exposure to CPG/FMCG or manufacturing domain use cases

Email - [email protected]

📌 Data Science / Data Engineer (Bengaluru)
🏢 The Digital Loom
📍 Bengaluru