AI Automation Engineer

E2M Solutions; Ahmedabad District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

E2M Solutions is seeking an AI Automation Engineer to design and build end-to-end AI automation solutions using LLMs, agents, tools, APIs, and MCP. The role focuses on practical, production-ready systems rather than traditional ML model training.

The ideal candidate will create robust workflows, integrate APIs, and ensure reliability and scalability across deployments. This role demands ownership and strong problem-solving skills in a fast-paced environment.

Qualifications

• 1-3 years of software engineering or AI application development experience.
• Strong understanding of: agentic architecture, agentic loops, tool / function calling, MCP, context engineering, prompt engineering, structured outputs, workflow orchestration.
• Experience working with LLM APIs and SDKs.
• Strong understanding of REST APIs and system integrations.
• Ability to understand and design end-to-end system architecture.
• Strong debugging and problem-solving skills.
• Ability to work independently and take ownership of features.

Responsibilities

• Design and build end-to-end AI automation and agentic architectures.
• Build workflows using LLMs, agents, tools, APIs, and MCP.
• Design and implement tools that allow AI systems to interact with applications and external services.
• Integrate LLM APIs and SDKs into production applications.
• Build multi-step workflows with proper context, state, validation, and error handling.
• Develop backend APIs and integrations required for AI-powered features.
• Debug and improve AI workflows for reliability, performance, and scalability.
• Take features from requirements and architecture through implementation and production.

Skills

Agentic architecture

Agentic loops

Tool / function calling

MCP

Context engineering

Prompt engineering

Structured outputs

Workflow orchestration

Tools

LLM APIs

LLM SDKs

Docker

Cloud deployment

Container Apps

Key Vault

REST APIs

Job description

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing.Founded on strong business ethics, we are an equal opportunity organization powered by 350+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you're someone who dreams big and has the gumption to make them come true, E2M has a place for you

Role Overview

As an AI Automation Engineer who can design and build end-to-end AI automation solutions using LLMs, agents, tools, APIs, and MCP. The role focuses on building practical, production-ready AI systems and automation workflows rather than traditional ML model training.

Key Responsibilities

• Design and build end-to-end AI automation and agentic architectures.
• Build workflows using LLMs, agents, tools, APIs, and MCP.
• Design and implement tools that allow AI systems to interact with applications and external services.
• Integrate LLM APIs and SDKs into production applications.
• Build multi-step workflows with proper context, state, validation, and error handling.
• Develop backend APIs and integrations required for AI-powered features.
• Debug and improve AI workflows for reliability, performance, and scalability.
• Take features from requirements and architecture through implementation and production.

Required Skills & Qualifications

• 1-3 years of software engineering or AI application development experience.
• Strong understanding of:
  • Agentic architecture
  • Agentic loops
  • Tool / function calling
  • MCP
  • Context engineering
  • Prompt engineering
  • Structured outputs
  • Workflow orchestration
• Experience working with LLM APIs and SDKs.
• Strong understanding of REST APIs and system integrations.
• Ability to understand and design end-to-end system architecture.
• Strong debugging and problem-solving skills.
• Ability to work independently and take ownership of features.

Good to Have

• Experience building MCP servers or custom AI tools.
• Experience with AI-assisted development workflows.
• Experience with Docker and cloud deployment.
• Exposure to Container Apps, Key Vault, or similar cloud services.

What We Expect

• Strong understanding of how agents, tools, APIs, context, and application systems work together.
• Ability to learn new AI technologies and apply them quickly.
• Strong ownership and practical problem-solving ability.