Job Summary
We are seeking a GenAI candidate with 7+ years of experience to build GenAI 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 GenAI 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 GenAI solutions
- for developing, deploying, and managing GenAI 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 OpenAI and GCP Vertex AI, ensuring scalability, reliability, and performance.
- API Integration:



Integrate OpenAI and other GenAI 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 GenAI models running on cloud platforms.
- Documentation & Knowledge Sharing: Maintain transparent documentation and mentor junior team members on GenAI 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, OpenAI APIs, Azure OpenAI, and GCP Vertex AI.
- Strong 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 G

📌 Vertex AI/Enterprise Gemini Gen AI Consultant (Bengaluru Urban)
🏢 Evalueserve
📍 Bengaluru Urban