Senior Consultant- Gen AI

Elevate Your Impact Through

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at

• Expertise in Data Analysis, Statistics, Computer Vision, AI & Machine Learning Concepts
• Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI / ML
• Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models (LLaMA, Mistral, etc.)
• Implement RAG pipelines using LangChain and LangGraph for production-ready applications.
• Build and orchestrate autonomous and tool-using LLM agents.
• Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS) for semantic search and memory storage.
• Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflows.
• Deploy applications using cloud platforms (Azure, AWS, GCP) with APIs, microservices, or serverless functions.
• Collaborate with product and design teams to develop chatbots, copilots, and multimodal interfaces.
• Monitor performance, cost, latency, and evaluate prompt effectiveness through prompt engineering best practices.
• Fine-tune, quantize, or use adapters (LoRA, PEFT) for open-source models where applicable.
• Stay up-to-date with the latest advancements in Gen AI, MLOps, and AI safety principles.

What we’re Looking for

Want to learn more about our culture and what it’s like to work with us?

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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.