Posted 22 May, 2026
Large Language Models
NR Consulting - India
Bhubaneswar, Odisha, IN
Full Time
Reference: 26-05310-2220-1
Title: Large Language Models
Location: Bhubaneswar
Exp: Minimum 3 year(s) of experience
Job Description:
Roles & Responsibilities:
- Design the overall AI system architecture, focusing on agent orchestration, system integration, and end-to-end scalability.
Evaluate and select appropriate LLMs, orchestration frameworks, tools, and APIs aligned with use case complexity and enterprise constraints.
Architect knowledge management systems using RAG (Retrieval-Augmented Generation) and hybrid search patterns.
Enable plan-and-execute strategies and multi-agent coordination for complex task automation.
Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning.
Drive Gen AI threat modeling, safety tier design, and defenses against adversarial prompts.
Collaborate with cross-functional teams to ensure seamless A2A (agent-to-agent) and tool-based orchestration.
Lead proof-of-concepts, technical assessments, and production readiness for agent-based applications.
Professional & Technical Skills:
- Strong understanding of architecture patterns including knowledge management (RAG, hybrid search), agent design, and enterprise AI.
Hands-on expertise with LLM orchestration frameworks such as Lang Graph, Crew AI, AutoGen, Vertex AI, AI Refinery.
Proficiency in tools-as-agents, function calling, API integration, model context protocols (e.g., MCP), and A2A communication.
Experience with Gen AI safety design, including threat modeling and prompt protection strategies.
Knowledge of API gateway design, performance optimization, cost-aware system architecture, and context budgeting.
Experience in working across cloud-native and hybrid environments with secure enterprise integration patterns.
Location: Bhubaneswar
Exp: Minimum 3 year(s) of experience
Job Description:
Roles & Responsibilities:
- Design the overall AI system architecture, focusing on agent orchestration, system integration, and end-to-end scalability.
Evaluate and select appropriate LLMs, orchestration frameworks, tools, and APIs aligned with use case complexity and enterprise constraints.
Architect knowledge management systems using RAG (Retrieval-Augmented Generation) and hybrid search patterns.
Enable plan-and-execute strategies and multi-agent coordination for complex task automation.
Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning.
Drive Gen AI threat modeling, safety tier design, and defenses against adversarial prompts.
Collaborate with cross-functional teams to ensure seamless A2A (agent-to-agent) and tool-based orchestration.
Lead proof-of-concepts, technical assessments, and production readiness for agent-based applications.
Professional & Technical Skills:
- Strong understanding of architecture patterns including knowledge management (RAG, hybrid search), agent design, and enterprise AI.
Hands-on expertise with LLM orchestration frameworks such as Lang Graph, Crew AI, AutoGen, Vertex AI, AI Refinery.
Proficiency in tools-as-agents, function calling, API integration, model context protocols (e.g., MCP), and A2A communication.
Experience with Gen AI safety design, including threat modeling and prompt protection strategies.
Knowledge of API gateway design, performance optimization, cost-aware system architecture, and context budgeting.
Experience in working across cloud-native and hybrid environments with secure enterprise integration patterns.
