Senior AI Developer

Flexibility Option : Hybrid, 3 days in office.

Location : Pune.

About Principal :

With more than 19,000 employees worldwide, Principal helps people and companies in Asia, Australia, Europe, Latin America, and North America build and protect their financial well-being. We've been doing this for 143 years. A FORTUNE 500 company, we're known for our innovative ideas and real-life solutions that help customers make financial progress, no matter their income or portfolio size. Principal (India) is the global business services (GBS) for Principal Financial Group with 4000+ employees.

Job Purpose :

The Senior AI Agent Developer will design, build, test, deploy, and improve production-grade AI agents and agentic workflows that solve defined business problems. This is a senior hands-on developer role. The role will translate business requirements and technical designs into secure, maintainable software using large language models, retrieval-augmented generation, tool calling, APIs, MCP servers, and agent orchestration frameworks.

Essential Deliverables :

- Design, build, and deploy AI agents, copilots, and agentic workflows leveraging enterprise AI platforms such as AWS AgentCore and MS Copilot Studio.

- Develop and orchestrate multi-agent solutions using modern orchestration frameworks, ensuring effective state management, routing, memory, tool selection, and human-in-the-loop controls.

- Design and implement Retrieval-Augmented Generation (RAG) solutions, including knowledge ingestion, embeddings, vector search, retrieval optimization, and source attribution.

- Integrate AI agents with enterprise applications, databases, knowledge repositories, APIs, and cloud services.

- Build and manage MCP-enabled integrations to securely expose enterprise tools, data, and services to AI agents.

- Implement robust tool calling, function execution, validation, security controls, and audit logging.

- Develop reusable AI components, prompts, connectors, and frameworks while maintaining high standards of code quality, testing, and documentation.

- Conduct functional, performance, security, and responsible AI testing, ensuring solutions are resilient against hallucinations, prompt injection, data leakage, and misuse.

- Establish monitoring and observability mechanisms to track agent performance, adoption, quality, cost, and business outcomes.

- Collaborate with business stakeholders to translate requirements into scalable AI solutions.

Qualifications :

- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.

- 8 - 10 years of experience in software engineering, automation, data, or AI application development.

- Proven experience delivering AI/GenAI solutions from prototype through production deployment.

- Strong background in integrating AI solutions within enterprise platforms and governed, security-conscious environments.

- Excellent communication skills with the ability to articulate technical concepts, evaluate trade-offs, document solutions, and drive user adoption.