Senior Analyst- AI Engineer

Evalueserve; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Evalueserve in Gurugram, India seeks a GenAI Engineer with 2+ years of experience to build GenAI solutions using LLMs, RAG and LangChain. Design autonomous agents for task planning, decomposition and tool/API invocation, and develop Python-based services for model orchestration.

Candidate will deploy and optimize models on Azure OpenAI and GCP Vertex AI, integrate GenAI services via REST APIs, and contribute to prompt engineering and model fine-tuning for domain-specific tasks.

Qualifications

• 2+ years of experience in AI/ML, with at least 1+ 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 vector stores like FAISS, Chroma, Pinecone, or Weaviate.

Responsibilities

• AI Solution Development: Build GenAI solutions using LLMs, RAG, and Lang chain 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 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

LangChain

OpenAI APIs

Azure OpenAI

GCP Vertex AI

Python

REST APIs

Task orchestration

Vector stores

LLM systems

Tools

FAISS

Chroma

Pinecone

Weaviate

Job description

Job Summary

We are seeking a GenAI candidate with 2+ years of experience to build GenAI solutions using LLMs, RAG and Lang chain 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 Lang chain 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

• 2+ years of experience in AI/ML, with at least 1+ 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