Senior Consultant- Gen AI

Evalueserve, Inc.; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Evalueserve, Inc. seeks a GenAI expert to build scalable GenAI solutions using LLMs, RAG, and Langchain to solve real business problems from our Gurugram office.

You will design autonomous agents for task planning and tool/API invocation, develop Python-based services, deploy on Azure OpenAI and GCP Vertex AI, and collaborate on prompts and model fine-tuning to meet domain needs.

Qualifications

• 7+ years of experience in AI/ML, with at least 3+ years hands-on in Generative AI / LLM systems.

Responsibilities

• AI Solution Development: Build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems.
• 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.

Skills

Python

REST APIs

Microservices

LLM systems

Generative AI

Langchain

RAG

Agent-based systems

Cloud deployment

Azure

GCP

Vector stores

Tools

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 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.
• 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.
• 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

Disclaimer

The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note:

We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.