Agentic AI/ML Specialists

Retail Insights; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Retail Insights seeks a seasoned AI/ML professional to design and drive agentic AI systems capable of autonomous decision-making within enterprise workflows. You will build multi-agent architectures, integrate LLMs with enterprise systems, and define control mechanisms for reliable, cost-efficient AI solutions.

The role requires strong Python skills, hands-on experience with agent-based AI, and a solid foundation in ML/NLP.

Qualifications

• Minimum 3+ years of experience in AI/ML or advanced data science roles.
• 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.
• 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 to explain AI concepts to stakeholders.
• Experience working in Agile / Scrum delivery environments.

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 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.

Skills

Agent-based AI

LLMs & prompt engineering

Python programming

AI orchestration

Enterprise integration

ML/NLP/data modeling

Agile / Scrum

Analytical thinking

Communication

Education

AI/ML experience

3+ years

Tools

Python

LLM tooling

Job description

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