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About
Retail Insights delivers scalable, innovative, and cost-effective IT solutions through centers in India, Dubai, and the U.S. We specialize in Full Stack Development, Data & AI/ML, Mobile, DevOps, and digital platforms like Adobe, Salesforce, Shopify, Snowflake, and Blue Yonder.
Responsibilities
Design, develop, and implement agentic AI systems capable of autonomous decision-making and task execution
Build and orchestrate multi-agent architectures to solve complex business workflows
Integrate LLMs with enterprise systems, APIs, databases, and tools
Define agent roles, memory, tools, planning logic, and control mechanisms
Implement RAG pipelines to ground agents with enterprise knowledge and data
Collaborate with business and product teams to identify automation and intelligence use cases
Design AI agents for use cases such as customer support automation, decision intelligence, recommendations, forecasting, and workflow automation
Ensure reliability, accuracy, and explainability of agent decisions
Implement safeguards, monitoring, and fallback mechanisms for autonomous agents
Optimize agent performance, latency, and cost efficiency
Support UAT, business validation, and post-production optimization
Collaborate with data engineers and ML engineers for data and model pipelines
Define KPIs to measure agent effectiveness (accuracy, resolution rate, deflection, ROI)
Document agent architecture, logic, and operational guidelines
Act as a subject-matter expert for agentic AI best practices and patterns
Stay current with advancements in agent-based AI and LLM technologies
Requirements
Minimum 3+ years of experience in AI / ML or advanced data science roles
Proven hands-on experience building agent-based or autonomous AI systems
Strong understanding of LLMs, prompt engineering, and AI orchestration frameworks
Advanced Python programming skills
Experience integrating AI solutions with enterprise applications and workflows
Strong foundation in machine learning, NLP, and data modeling
Ability to translate business problems into intelligent, autonomous AI solutions
Strong analytical, problem-solving, and system design skills
Excellent communication skills to explain complex AI concepts to stakeholders
Experience working in Agile / Scrum delivery environments
Education Qualification
Minimum 3+ years of experience in AI / ML or advanced data science roles
Proven hands-on experience building agent-based or autonomous AI systems
Strong understanding of LLMs, prompt engineering, and AI orchestration frameworks
Advanced Python programming skills
Experience integrating AI solutions with enterprise applications and workflows
Strong foundation in machine learning, NLP, and data modeling
Ability to translate business problems into intelligent, autonomous AI solutions
Strong analytical, problem-solving, and system design skills
Excellent communication skills to explain complex AI concepts to stakeholders
Experience working in Agile / Scrum delivery environments
Join the team
Thank you for your keen interest in becoming a part of Retail Insights. We're eagerly looking forward to gaining deeper insights into your candidacy through this application.
Work arrangement
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