Consultant

Evalueserve; Gurugram District; Hybrid; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Evalueserve is seeking a GenAI professional with 3+ years of experience to build GenAI solutions using LLMs, RAG, and LangChain to solve real-world business problems. Design autonomous agents for task planning and tool/API invocation, and develop robust Python-based services to orchestrate models and data.

The role involves deploying models on Azure OpenAI and GCP Vertex AI, integrating APIs, and guiding prompt engineering and fine-tuning to align with domain tasks, while mentoring junior

Qualifications

• 3+ years of experience in AI/ML with hands-on 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 vector stores (FAISS, Chroma, Pinecone, Weaviate)

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

GenAI

LLMs

RAG

Langchain

Python

REST APIs

Microservices

Tools

FAISS

Chroma

Pinecone

Weaviate

Azure OpenAI

GCP Vertex AI

Job description

Job Summary

We are seeking a GenAI candidate with 3+ 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.

Job Summary

We are seeking a GenAI candidate with 3+ 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

• 3+ years of experience in AI/ML, with at least 2+ years hands-on in Generative AI / LLM systems.
• Proven expertise in Lang chain, 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

Leadership Perspectives

Pallab Kumar Deb, CEO

“ Domain knowledge is the hardest thing to build in the age of AI. We've spent 25 years building it, workflow by workflow, in industries where getting the details wrong is expensive. That's what domain-led AI firm means here. Not a layer of AI on top of generic services, but AI built into the specific judgment calls our clients face every day. If you want to build AI that changes how real work gets done, not AI that just looks good in a demo, this is where that happens”

Sanjoy Roy Choudhary, Executive Vice President for Data Analytics

“We are trusted by some of the largest and most complex businesses in the world, and that trust is earned every day through expertise, technology, and a genuine hunger to innovate. The intersection of AI, analytics, and insights is creating possibilities that simply did not exist before, and we are right in the middle of it.We seek out hard problems, we push forward, and we are looking for ambitious people who want to help discover new avenues of growth with us.”

Why Join Evalueserve

Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI.

We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.

Recent Awards and Recognitions

• AIM Research 2025: Top 10 of the “20 Best Firms for Women in Tech”
• Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms
• Chartis Research 2024: Category Leader in Credit Portfolio Management
• Credit Strategy Lending Awards 2024: Winner, “Best Technology Partner”
• Banking Tech Awards 2024: Highly Commended, “Best LendTech”

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.