Senior AI Agent Engineer

WHAT YOU'LL DO

• Architect and build autonomous, multi agent systems that decompose goals into action sequences and execute them with bounded autonomy, not static prompt chains


• Develop RAG pipelines, tool calling, memory architectures, and orchestration layers that keep reasoning, retrieval, tool execution, and presentation cleanly separated


• Integrate AI agents with enterprise platforms including ERP, CRM, HRMS, SCM, ITSM, document systems, databases, and internal or third party APIs


• Design failure handling before deployment: hallucinations, infinite loops, tool failures, degraded retrieval, runaway costs, and rate limits, with retry logic, fallbacks, and bounded execution built in


• Build observability, monitoring, and cost/action ceilings so agents cannot operate unchecked, and failures are diagnosable without manual inspection


• Build internal AI operations tooling for orchestration, scheduling, governance, lifecycle management, and analytics


• Create dashboards and reporting that connect AI performance to operational efficiency, productivity, and ROI


• Train, fine tune, and deploy machine learning models where they serve as tools inside larger agentic systems


• Design configurable, multi tenant platforms that adapt across use cases and clients through strong abstractions rather than one off rebuilds


• Partner with product, business stakeholders, and engineering teams to convert manual processes into intelligent, autonomous workflows


• Mentor AI engineers and developers, run code reviews, and ensure production ready delivery of AI solutions


• Build feedback loops and evaluation harnesses so systems improve from real usage rather than degrade over time.

Experience

• 3+ years of professional software engineering, building and deploying enterprise AI agents, agentic systems, or intelligent automation platforms


• Demonstrated success shipping AI solutions with measurable business impact in production, not just proof of concept


• Hands on experience across at least a few of: customer support, sales, HR, finance, procurement, supply chain, IT service desk, document intelligence, or knowledge management automation


• Strong understanding of distributed systems, cloud native architecture, APIs, databases, and DevOps

• Bachelor's or master's degree in computer science, Artificial Intelligence, Software Engineering, or a related field


• Excellent analytical, problem solving, and communication skills


• Ability to work independently while collaborating across cross functional teams.

PREFERRED QUALIFICATIONS

• Experience with MCP (Model Context Protocol) and Agent to Agent (A2A) communication


• Experience building enterprise Digital Workforce or multi tenant agentic platforms


• Knowledge of Responsible AI, governance, compliance, and security frameworks


• Experience with automation platforms such as Zapier, Make, or n8n


• Knowledge of Computer Vision, OCR, or speech technologies


• Contributions to open source AI projects or technical communities

• Fuel Allowance


• Medical Insurance


• Free Lunch Facility (In-house)


• GYM Passport (Panel Gym's Free of Cost)


• Participatory Fund


• Market Competitive Salary


• Learning & Challenging Work Environment


• Amazing Work Culture


• Paid Time off


• Group Life Insurance


• Maternity Leaves and many more