Senior AI Engineer

About the job

Role Overview

We are looking for an AI Engineer with hands on experience designing, building, and deploying AI powered workflow automation solutions across the organization. This role is ideal for someone who understands both business processes and technology, and can independently work with stakeholders to identify automation opportunities, gather requirements, design AI agents, build working solutions, and coordinate with technical and non technical teams to drive adoption.

The AI Engineer will help TO move from manual, fragmented processes toward intelligent, automated workflows using modern AI agent platforms, orchestration tools, integrations, and full stack engineering practices.

KEY ROLES AND RESPONSIBILITIES

• AI Agent Development - Design, configure, test, and deploy AI agents that automate business workflows, improve productivity, and support decision making
• Multi Agent Orchestration - Build coordinated agent workflows where multiple AI agents work together to complete complex tasks across systems, teams, and data sources
• Workflow Automation - Analyze existing business processes and identify opportunities to automate repetitive, manual, or inefficient tasks
• Requirements Gathering - Work directly with business users, operational teams, and technical stakeholders to gather requirements and translate them into AI enabled solutions
• Solution Design - Define the right automation approach, including agent logic, prompts, tools, integrations, data sources, workflows, and human review points
• Full Stack Contribution - Support front end, back end, API, integration, and data related work where needed to deliver complete working solutions
• Integration Support - Connect AI workflows with business systems, documents, databases, APIs, and productivity platforms
• Testing and Validation - Test AI agent outputs for accuracy, reliability, usability, and business relevance before deployment
• Documentation - Create clear documentation for workflows, agent behavior, configuration, limitations, handover, and ongoing support
• Stakeholder Coordination - Coordinate with business teams, IT, data teams, leadership, and external partners to ensure successful delivery and adoption
• Continuous Improvement - Monitor deployed agents, collect feedback, improve performance, and refine workflows over time

REQUIRED EXPERIENCES

• Experience Level - 3+ years of experience building software, automation, or AI enabled solutions
• AI Tooling - Experience using AI platforms, large language models, prompt engineering, agent builders, workflow automation tools, or similar technologies
• Technical Foundation - Strong understanding of development concepts, APIs, databases, integrations, authentication, and cloud based applications
• Full Stack Awareness Ability to understand how front end, back end, data, APIs, and business systems work together
• Business Analysis - Ability to gather requirements, ask the right questions, map workflows, and convert business needs into technical solutions
• Automation Mindset - Strong ability to identify process inefficiencies and design practical automation solutions
• Independent Execution - Comfortable working independently with limited supervision, while keeping stakeholders aligned
• Communication - Strong written and verbal communication skills with the ability to explain technical concepts to non technical users
• Problem Solving - Ability to break down ambiguous problems, experiment quickly, and iterate toward a working solution

REQUIRED SKILLS

• AI and LLMs -Understanding of how to use large language models for workflow automation, document processing, reasoning, summarization, classification, and task execution
• Agent Design - Ability to design agents with clear roles, instructions, tools, inputs, outputs, guardrails, and escalation paths
• Prompt Engineering - Ability to write, test, and refine prompts for reliable and structured AI outputs
• APIs and Integrations - Ability to work with REST APIs, webhooks, system connectors, and third party integrations
• Databases -Working knowledge of SQL, data structures, and how to retrieve, transform, and use business data
• Scripting - Experience with Python, JavaScript, TypeScript, or similar languages
• Cloud and Platforms - Familiarity with cloud platforms, application deployment, access controls, and secure system integration
• Documentation Tools - Ability to document workflows, requirements, technical designs, and user guides clearly
• Enterprise Automation - Experience automating workflows across finance, operations, marketing, IT, data, or customer service teams
• Data Engineering - Familiarity with data pipelines, data quality, reporting, or analytics workflows
• RAG Solutions - Experience with retrieval augmented generation, knowledge bases, vector search, embeddings, or document intelligence
• Governance -Understanding of AI safety, privacy, access control, auditability, and responsible AI usage
• UI Prototyping- Ability to create simple internal tools, dashboards, or interfaces for AI powered workflows
• Agile Delivery- Experience working in agile teams and delivering iterative improvements

Requirements added by the job poster

• 3+ years of work experience with Large Language Models (LLM)