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Our client, a leading global specialist in energy management and automation is looking for an Consultant - Applied LLM Engineer to design, fine-tune, and integrate large language models into practical internal applications such as AI assistants, knowledge systems, and workflow automation tools. You will play a key role in leveraging LLMs to build different AI Agents to enhance employee productivity, simplify information retrieval, and enable intelligent task automation
Key Responsibilties;
1. Design & Architect LLM-Powered Internal Tools;
2. Develop & Optimize Enterprise RAG Systems;
3. Build & Maintain AI Agents for Workflow Automation
4. Own Deployment & MLOps for LLM Applications
NOTE;
Duration- 12 months (extendable)
Location- Bangalore Avinya campus (Hybrid)
Capacity- Full time
1.Bachelor's degree or above in Computer Science, Artificial Intelligence, Electrical Engineering or a related field.
2. 2+ years of software engineering experience, with at least 1 years focused on building and deploying production applications using Large Language Models.
3. Expert proficiency in Python and extensive practical experience with deep learning frameworks (PyTorch/TensorFlow).
4. Deep LLM Stack Expertise:
- Proven hands-on experience with the modern LLM development stack, including LangChain or LlamaIndex, vector databases (FAISS, Milvus), and embedding models.
- Deep, practical understanding of RAG architecture (BM25 + Vector DB + Re-rank), Agentic AI workflows (ReAct, Tool Use), and advanced prompt engineering patterns.
5. Production Engineering Skills: Solid backend development experience with frameworks like FastAPI or Flask. Familiarity with MLOps practices for generative AI and cloud platforms (AWS, Azure or AlibabaCloud).
6. Demonstrated ability to take ownership of complex projects from conception to production, making principled trade-offs between speed, quality, and cost. Strong analytical and debugging skills.
7. Excellent communication skills with the ability to explain complex technical concepts to diverse audiences and collaborate effectively with cross-functional teams
A leading global specialist in energy management and automation
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