RG
AI Engineer
RSN GINFO Solutions
India · On-site Contract Senior Today
About the role
Job Overview
- Location: Hyderabad
- Employment Type: Contract
- Level: Senior
- Number of Positions: 1
- Salary Range: 25 – 30 INR
Key Responsibilities
- Implement AI solutions.
- Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
- Knowledge in MCP, A2A and other new protocols.
- Deploy and manage LLM integrations (OpenAI, embeddings, fine-tuned models).
- Design & Deploy Custom Document Intelligence Models.
- Implement RAG pipelines using AI Search, vector databases, and storage.
- Design secure APIs, authentication, authorization, and secrets management.
Required Skills & Experience
- Deep expertise in App Services, Document Intelligence, AI Search, Open AI Foundry.
- Strong understanding of LLMs, embeddings, RAG, agentic architectures, Agentic AI (Hallucination, MCP, Agent to Agent Communication).
- OCR Tools (Doc Intelligence / John Snow Labs).
- High Proficiency in Python.
- Working experience with LangGraph.
Good to Have
- Experience with infrastructure-as-code (Bicep, Terraform).
- Knowledge on compliance and data governance for AI systems.
- Prompt Engineering.
About RSNG Info Solutions
At RSNGINFO, we prioritize customer needs and dedicate ourselves to quality creations that aim to meet every aspect of our client’s requirements. We collaborate and contribute our expertise to adapt the best ways to improve our product services that are accessible, light, and easy to implement.
Founded: 2019
Company Size: 51‑200 employees
Industry: Technology
Website: rsnginfo.com
Contact: info@rsnginfo.com
Requirements
- Deep expertise in App Services, Document Intelligence, AI Search, Open AI Foundry.
- Strong understanding of LLMs, embeddings, RAG, agentic architectures, Agentic AI (Hallucination, MCP, Agent to Agent Communication)
- OCR Tools (Doc Intelligence / John Snow Labs)
- High Proficiency in Python
- Working experience with LangGraph
Responsibilities
- Implement AI solutions.
- Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
- Knowledge in MCP, A2A and other new protocols
- Deploy and manage LLM integrations (OpenAI, embeddings, fine-tuned models).
- Design & Deploy Custom Document Intelligence Models
- Implement RAG pipelines using AI Search, vector databases, and storage.
- Design secure APIs, authentication, authorization, and secrets management.
Skills
AI SearchApp ServicesDocument IntelligenceLangGraphLLMOpenAIPython
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