Senior Consultant-Gen AI, Vertex AI

Evalueserve, Inc.; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Evalueserve, Inc. seeks a senior GenAI engineer to build end-to-end GenAI solutions using LLMs, RAG, and LangChain. You will design autonomous agents for complex task planning and API invocation, and you will implement robust Python services and orchestration for scalable model interactions.

You will deploy and optimize AI models on Azure OpenAI and GCP Vertex AI, ensuring performance, reliability, and cost efficiency, while mentoring teammates and documenting learnings.

Qualifications

• 7+ years in AI/ML with 3+ years in Generative AI/LLM systems.
• Strong Python programming and building REST APIs/microservices.
• Deep knowledge of LLM chaining, RAG, and task orchestration.
• Experience deploying scalable AI systems in Azure and GCP environments.
• Familiarity with vector stores (FAISS, Chroma, Pinecone, Weaviate).

Responsibilities

• Build GenAI solutions using LLMs, RAG, and LangChain for real-world problems.
• Design autonomous agents for task planning, decomposition, and tool/API invocation.
• Develop Python-based services and orchestrators for model interactions and workflows.
• Deploy and optimize AI models on Azure OpenAI and GCP Vertex AI for performance.
• Integrate OpenAI and other GenAI services via REST APIs and SDKs.
• Mentor junior team members and contribute to documentation.

Skills

Python programming

REST APIs

Microservices

Generative AI

LLM chaining

Agent-based systems

Task orchestration

Prompt engineering

Performance tuning

Documentation & knowledge sharing

Tools

Google Vertex AI

Enterprise Gemini

Azure OpenAI

GCP Vertex AI

FAISS

Chroma

Pinecone

Weaviate

Job description

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 andimplement autonomous agents capable of task planning, decomposition, andtool/API invocation

• Hands-on experience with Hands-on experience with GoogleVertex AI and/or Enterprise Gemini for developing, deploying, andmanaging GenAI solutions.
• Backend & Orchestration Services:Develop robust Python-based services and orchestrators for managing modelinteractions, task workflows, and contextual data.
• Cloud-Based Deployment: Deploy andoptimize AI models on Azure OpenAI and GCP Vertex AI, ensuringscalability, reliability, and performance.
• API Integration:Integrate OpenAI and other GenAI services into enterpriseapplications via REST APIs and cloud-native SDKs.
• Prompt Engineering & Fine-Tuning:Craft effective prompts and collaborate on model fine-tuning to align LLMs withdomain-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 memberson 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 .
• Strong Python programmingskills; experience building REST APIs and microservices .
• Deep knowledge of LLMchaining, RAG, agent-based systems, and task orchestration .
• Experience deploying scalableAI systems in Azure and GCP environments .
• Familiarity with tools likeFAISS, Chroma, Pinecone, Weaviate, or other vector stores

Disclaimer: The following job description serves as aninformative reference for the tasks you may be required to perform. However, itdoes not constitute an integral component of your employment agreement and issubject to periodic modifications to align with evolving circumstances .

Please Note : We appreciate theaccuracy and authenticity of the information you provide, as it plays a keyrole in your candidacy. As part of the Background Verification Process, we may verifyyour employment, education, and other details. Please ensure all information isfactual and submitted on time.