Job Summary

We are seeking a GenAI candidate with 2+ 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 explicit 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 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Consultant (Bengaluru)
🏢 Evalueserve
📍 Bengaluru