We are looking for an AI Engineer with proven hands-on experience designing, building, and deploying AI-powered workflow automation solutions within enterprise environments.

This role is ideal for someone who understands both business processes and technology, and can work directly with stakeholders to identify automation opportunities, gather requirements, design AI agents, build production-ready solutions, and drive adoption across both technical and non-technical teams. The successful candidate should have a minimum of 2 years of hands-on experience delivering Generative AI solutions, with a strong track record of building and implementing AI agents, workflow orchestration platforms, LLM-powered applications, and intelligent automation solutions in real-world business settings.

The AI Engineer will play a key role in helping organizations transition from manual, fragmented processes to intelligent, automated workflows by leveraging modern AI agent frameworks, orchestration tools, enterprise integrations, and full-stack engineering practices.

KEY 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 solution
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

Hands on experience building software, automation, or AI enabled solution
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 application
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 user
Problem Solving: Ability to break down ambiguous problems, experiment quickly, and iterate toward a working solution

TECHNICAL SKILLS

Understanding of how to use large language models for workflow automation, document processing, reasoning, summarization, classification, and task execution
Ability to design agents with clear roles, instructions, tools, inputs, outputs, guardrails, and escalation paths
Ability to write, test, and refine prompts for reliable and structured AI outputs
Ability to work with REST APIs, webhooks, system connectors, and third party integration
Working knowledge of SQL, data structures, and how to retrieve, transform, and use business
Experience with Python, JavaScript, TypeScript, or similar languages
Familiarity with cloud platforms, application deployment, access controls, and secure system integration
Ability to document workflows, requirements, technical designs, and user guides clea
Experience automating workflows across finance, operations, marketing, IT, data, or customer service teams
Familiarity with data pipelines, data quality, reporting, or analytics workflows
Experience with retrieval augmented generation, knowledge bases, vector search, embeddings, or document intelligence
Understanding of AI safety, privacy, access control, auditability, and responsible AI us
Ability to create simple internal tools, dashboards, or interfaces for AI powered workfl
Experience working in agile teams and delivering iterative improvements