Senior Consultant-Gen AI, Vertex AI

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 Google Vertex AI and/or Enterprise Gemini 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 clear 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 Langchain, 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 GCP environments.
• Familiarity with tools like FAISS, Chroma, Pinecone, Weaviate, or other vector stores.