Axi is seeking a Staff AI Agent Engineer to design, build, and operate production-grade AI agents that streamline workflows and improve customer experiences.

Company: Axi

Role: Staff AI Agent Engineer

Location: Bangalore, India

Experience:

3-5 years of hands-on software engineering experience building production-grade applications using Python and TypeScript
Proven experience developing, deploying, and operating AI-powered applications, agentic workflows, or large language model solutions in production environments
Experience integrating intelligent automation solutions with enterprise systems such as Salesforce, DevRev, customer support platforms, or operational workflow tools
Hands-on experience working with data platforms, data lakes, vector databases, retrieval systems, or distributed data architectures

Key Skills:

Python
TypeScript
Agentic architectures
Tool-calling frameworks
Orchestration patterns
Model Context Protocol (MCP)
Prompt engineering
Model optimization
Git-based development workflows
CI/CD pipelines
Docker
Cloud-native deployments

Qualification:

Strong understanding of agentic architectures, tool-calling frameworks, orchestration patterns, and Model Context Protocol (MCP) or similar integration standards
Strong knowledge of evaluation methodologies, testing strategies, observability practices, and monitoring frameworks for AI-powered systems
Expertise in prompt engineering, model optimization, and managing behavioural changes across evolving foundation models
Understanding of distributed systems and scalable application architectures
Knowledge of AI governance, auditability, security controls, privacy requirements, and human-in-the-loop operational models

Role Focus:

Design, build, deploy, and continuously optimize production-grade AI agents that automate and enhance operational and customer-facing workflows
Own the complete agent lifecycle from architecture and prototyping through production deployment, monitoring, and ongoing performance improvements
Develop clean, maintainable Python and TypeScript solutions that power autonomous decision-making and complex multi-step workflows
Integrate AI agents with enterprise platforms including CRM systems, ticketing platforms, onboarding systems, payment gateways, trading infrastructure, and Databricks-powered data environments
Build, maintain, and enhance Model Context Protocol (MCP) servers, custom tools, and integration layers that enable reliable communication between agents and enterprise systems
Implement robust evaluation frameworks, testing methodologies, observability tooling, audit trails, and governance controls to ensure safe and compliant AI operations
Design human-in-the-loop workflows, security guardrails, and transparent decision-making processes that align with financial services regulatory requirements
Collaborate with Client Experience, Compliance, Product, Data Analytics, QA, and Engineering teams to identify automation opportunities and deliver scalable solutions
Champion AI adoption across the organization by conducting technical demonstrations, workshops, and enablement sessions for business stakeholders
Continuously evaluate emerging AI models, frameworks, and agentic architectures to drive innovation and improve platform capabilities
Monitor production systems, identify model drift, optimize performance, and ensure the long-term health and effectiveness of deployed agent solutions

Nice to have:

Experience working within regulated industries such as fintech, financial services, banking, trading, or brokerage environments

Other:

Competitive compensation package
Learning and development programs, training resources, and certification support
18 days annual leave plus 12 days sick leave
Local public holidays
Comprehensive health insurance benefits

Staff AI Agent Engineer

Skills Required

Description