Gen AI Engineer

We are looking for an AI Engineer with proven hands-on experience designing, building, and deploying AI-powered workflow automation solutions within enterprise environments.\nThis 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.\nThe 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.\n\nKEY RESPONSIBILITIES\nAI Agent Developmen t: Design, configure, test, and deploy AI agents that automate business workflows, improve productivity, and support decision makin g\nMulti Agent Orchestration: Build coordinated agent workflows where multiple AI agents work together to complete complex tasks across systems, teams, and data source s\nWorkflow Automation: Analyze existing business processes and identify opportunities to automate repetitive, manual, or inefficient tasks\nRequirements Gathering: Work directly with business users, operational teams, and technical stakeholders to gather requirements and translate them into AI enabled solution\nSolution Design: Define the right automation approach, including agent logic, prompts, tools, integrations, data sources, workflows, and human review points\nFull Stack Contribution: Support front end, back end, API, integration, and data related work where needed to deliver complete working solutions\nIntegration Support: Connect AI workflows with business systems, documents, databases, APIs, and productivity platforms\nTesting and Validation: Test AI agent outputs for accuracy, reliability, usability, and business relevance before deployment\nDocumentation: Create clear documentation for workflows, agent behavior, configuration, limitations, handover, and ongoing support\nStakeholder Coordination: Coordinate with business teams, IT, data teams, leadership, and external partners to ensure successful delivery and adoption\nContinuous Improvement: Monitor deployed agents, collect feedback, improve performance, and refine workflows over time\n\nREQUIRED EXPERIENCES\nHands on experience building software, automation, or AI enabled solution\nAI Tooli ng: Experience using AI platforms, large language models, prompt engineering, agent builders, workflow automation tools, or similar technologies\nTechnical Foundation: Strong understanding of development concepts, APIs, databases, integrations, authentication, and cloud based application\nFull Stack Awareness: Ability to understand how front end, back end, data, APIs, and business systems work together\nBusiness Analysis: Ability to gather requirements, ask the right questions, map workflows, and convert business needs into technical solutions\nAutomation Mindset: Strong ability to identify process inefficiencies and design practical automation solutions:\nIndependent Execution: Comfortable working independently with limited supervision, while keeping stakeholders aligned\nCommunication: Strong written and verbal communication skills with the ability to explain technical concepts to non technical user\nProblem Solvin g: Ability to break down ambiguous problems, experiment quickly, and iterate toward a working solution\n\nTECHNICAL SKILLS\nUnderstanding of how to use large language models for workflow automation, document processing, reasoning, summarization, classification, and task execution\nAbility to design agents with clear roles, instructions, tools, inputs, outputs, guardrails, and escalation paths\nAbility to write, test, and refine prompts for reliable and structured AI outputs\nAbility to work with REST APIs, webhooks, system connectors, and third party integration\nWorking knowledge of SQL, data structures, and how to retrieve, transform, and use business\nExperience with Python, JavaScript, TypeScript, or similar languages\nFamiliarity with cloud platforms, application deployment, access controls, and secure system integration\nAbility to document workflows, requirements, technical designs, and user guides clea\nExperience automating workflows across finance, operations, marketing, IT, data, or customer service teams\nFamiliarity with data pipelines, data quality, reporting, or analytics workflows\nExperience with retrieval augmented generation, knowledge bases, vector search, embeddings, or document intelligence\nUnderstanding of AI safety, privacy, access control, auditability, and responsible AI us\nAbility to create simple internal tools, dashboards, or interfaces for AI powered workfl\nExperience working in agile teams and delivering iterative improvements