Job Summary
We are seeking a Gen AI candidate with 7+ years of experience to build Gen AI solutions using LLMs, RAG, and Langchain to address real-world business problems. Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation
Key Responsibilities
AI Solution Development: Build Gen AI solutions using LLMs, RAG, and Langchain to address real-world business problems. Hands-on experience with Hands-on experience with Google Vertex AI and/or Enterprise Gemini for developing, deploying, and managing Gen AI solutions for developing, deploying, and managing Gen AI solutions Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation. Backend & Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data. Cloud-Based Deployment: Deploy and optimize AI models on Azure Open AI and GCP Vertex AI, ensuring scalability, reliability, and performance. API Integration:



Integrate Open AI and other Gen AI services into enterprise applications via REST APIs and cloud-native SDKs. Prompt Engineering & Fine-Tuning: Craft effective prompts and collaborate on model fine-tuning to align LLMs with domain-specific tasks. Performance Tuning: Optimize latency, cost, and throughput of Gen AI models running on cloud platforms. Documentation & Knowledge Sharing: Maintain clear documentation and mentor junior team members on Gen AI concepts, tools, and best practices. Required Qualifications
7+ years of experience in AI/ML, with at least 3+ years hands-on in Generative AI / LLM systems. Proven expertise in Lang chain, Open AI APIs, Azure Open AI, and GCP Vertex AI. Robust Python programming skills; experience building REST APIs and microservices. Deep knowledge of LLM chaining, RAG, agent-based systems, and task orchestration. Experience deploying scalable AI systems in Azure and GCP environments. Fam

📌 Vertex ai/enterprise gemini gen ai consultant (Bengaluru)
🏢 Evalueserve
📍 Bengaluru