Job DescriptionJob Summary
nWe 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
nKey Responsibilities
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- AI Solution Development: Build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems.n
- Hands-on experience with Hands-on experience with Google Vertex AI and/or Enterprise Gemini for developing, deploying, and managing GenAI solutionsn
- for developing, deploying, and managing GenAI solutionsn
- Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation.n
- Backend & Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data.n
- Cloud-Based Deployment: Deploy and optimize AI models on Azure OpenAI and GCP Vertex AI, ensuring scalability, reliability, and performance.n




- API Integration: Integrate OpenAI and other GenAI services into enterprise applications via REST APIs and cloud-native SDKs.n
- Prompt Engineering & Fine-Tuning: Craft effective prompts and collaborate on model fine-tuning to align LLMs with domain-specific tasks.n
- Performance Tuning: Optimize latency, cost, and throughput of GenAI models running on cloud platforms.n
- Documentation & Knowledge Sharing: Maintain transparent documentation and mentor junior team members on GenAI concepts, tools, and best practices.n

nRequired Qualifications
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- 7+ years of experience in AI/ML, with at least 3+ years hands-on in Generative AI / LLM systems.n
- Proven expertise in Lang chain, OpenAI APIs, Azure OpenAI, and GCP Vertex AI.n
- Strong Python programming skills; experience building REST APIs and microservices.n
- Deep knowledge of LLM chaining, RAG, agent-based systems, and task orchestrat

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