Senior Consultant- Gen AI

Evalueserve India; Gurugram District; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Evalueserve India is looking for a skilled GenAI candidate with over 7 years of experience to develop advanced Generative AI solutions using LLMs, RAG, and LangChain. The role includes design and implementation of autonomous agents, development of robust backend services in Python, cloud-based deployment on Azure OpenAI and GCP Vertex AI, and integration of AI services into enterprise applications. Ideal candidates will have hands-on experience with leading AI technologies and the ability to mentor junior team members.

Qualifications

• 7+ years of experience in AI/ML, with at least 3 years in Generative AI/LLM systems.
• Proven expertise in LangChain, OpenAI APIs, Azure OpenAI, and GCP Vertex AI.
• Strong Python programming skills.

Responsibilities

• Build GenAI solutions using LLMs, RAG, and LangChain.
• Design autonomous agents for task planning and execution.
• Develop Python-based services for managing model interactions.

Skills

Generative AI expertise

LangChain proficiency

Python programming

Experience with REST APIs

AI system deployment on Azure/GCP

Tools

Azure OpenAI

GCP Vertex AI

FAISS

Chroma

Pinecone

Weaviate

Job description

Job Summary

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.
• 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 tools like FAISS, Chroma, Pinecone, Weaviate, or other vector stores.