LLM Application Lead

**Job Title: Generative AI / LLM Engineer

Experience: 5+ years

Education: 15 years of full-time education

Role Overview

We are looking for a *Generative AI / LLM Engineer * with 5+ years of experience to design, develop, and deploy AI solutions powered by Large Language Models. The role involves building LLM-based applications, integrating AI services with enterprise systems, and developing scalable solutions using modern Generative AI technologies.

Key Responsibilities

• Design and develop LLM and Generative AI applications for enterprise use cases.
• Build solutions using LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Integrate LLM capabilities with existing applications, APIs, and enterprise platforms.
• Develop and optimize prompts, workflows, and model responses for accuracy and performance.
• Implement RAG pipelines for knowledge retrieval and context-aware responses.
• Evaluate LLM outputs and improve solution quality, reliability, and scalability.
• Work with data and engineering teams to prepare and integrate relevant datasets.
• Deploy and monitor GenAI/LLM solutions across development and production environments.
• Troubleshoot technical issues and continuously improve AI applications.
• Collaborate with business and technical stakeholders to translate requirements into AI solutions.

Required Skills

• 5+ years of experience in AI/ML or software engineering, with strong hands-on experience in LLM/Generative AI.
• Strong knowledge of Large Language Models (LLMs) and Generative AI concepts.
• Hands-on experience with Prompt Engineering, RAG, embeddings, and vector databases.
• Experience with LLM frameworks/tools such as LangChain, LlamaIndex, or similar.
• Experience working with commercial or open-source LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, or similar.
• Strong Python programming and API integration skills.
• Understanding of ML/AI model evaluation, deployment, and monitoring.
• Good knowledge of cloud platforms such as Azure, AWS, or GCP.
• Strong problem-solving and communication skills.

Good to Have

• Experience with fine-tuning or adapting LLMs for domain-specific use cases.
• Knowledge of AI agents, tool calling, and multi-agent workflows.
• Experience with MLOps/LLMOps and production-scale AI deployments.
• Knowledge of NLP and transformer architectures.

Education

• Minimum 15 years of full-time education.