AI_API Engineer - Agentic AI Solutions - Associate Manager

Job Title - AI / API Engineer ?? Agentic AI Solutions_Associate Manager

Management Level : 08 ?? Associate Manager

Location: Mumbai / Bangalore

Must have skills:

• Strong Python development skills : Hands-on experience with APIs (REST APIs, authentication, OAuth, tokens), System integration experience
• Experience with LLM-based solutions : OpenAI, Azure OpenAI, or similar, Prompt structuring and tool/function usage
• Strong problem-solving and system design skills : Ability to design end-to-end workflows, Debugging complex, multi-component systems
• Strong Communication Skills and Problem solving skills (Analytical skills / Collaborative thinking/ Adaptable to change)

Good to have skills:

• Experience with agentic frameworks (LangChain, Semantic Kernel, etc.)
• Experience with cloud platforms (preferably Azure)
• Knowledge of RAG (Retrieval-Augmented Generation)
• Familiarity with databases (SQL / NoSQL)
• Basic frontend or UI development (for internal tools)
• Payroll Experience
• MS Office

Experience: 6- 8 years

Educational Qualification: B.Tech/BE

Job Summary:
We are building a next-generation Agentic AI capability within Payroll, combining business expertise with engineering to automate and scale operations.

As an AI / API Engineer, you will design and build agentic AI solutions integrated with enterprise systems, while also mentoring internal talent transitioning into AI roles.

This role combines hands-on engineering, solution design, and enablement.


Roles & Responsibilities:

Build Agentic AI Solutions

Design and develop AI-driven workflows using LLMs (e.g., OpenAI, Azure OpenAI)

Implement multi-step ??agentic? solutions combining reasoning, tools, and data

Ensure reliability, accuracy, and scalability of AI outputs

Integrate Enterprise Systems

Connect AI solutions to internal systems via APIs

Design and implement REST API integrations (authentication, data exchange)

Work with structured and unstructured data across multiple sources

Translate Business Problems into Solutions

Collaborate with payroll SMEs to understand real-world challenges

Break down problems into scalable AI + API architectures

Deliver production-ready solutions (not just prototypes)

Enable & Mentor Talent

Support upskilling of selected payroll professionals into AI engineers

Provide guidance, code reviews, and best practices

Contribute to building internal AI engineering capability

Ensure Engineering Best Practices

Write clean, maintainable, and well-documented code

Implement error handling, logging, and debugging practices

Contribute to reusable components and scalable design patterns

Profile We Are Looking For

6??8 years of experience in software engineering or related roles

Experience building real-world solutions, not just prototypes or courses

Strong ownership and ability to work in ambiguous environments

Interest in applied AI (not research-focused roles)

Ability and willingness to mentor and enable others

What Success Looks Like

AI solutions successfully integrated with payroll systems

Reduction in manual effort through automation

Internal team members successfully upskilled into AI roles

Scalable and reusable AI solution patterns established

Why Join This Initiative

Combine engineering + business impact. This is not pure research or data science role. We are looking for hands-on engineers who can build and integrate AI solutions into real business workflows

Work on cutting-edge agentic AI use cases in a real enterprise environment

Play a key role in building internal AI capability at scale

Opportunity to shape how AI is applied in global payroll operations

approaches for sustained competitive advantage.

Professional & Technical Skills:

a. Strong Python development skills

Hands-on experience with APIs

REST APIs, authentication (OAuth, tokens) System integration experience

Experience with LLM-based solutions

i. OpenAI, Azure OpenAI, or similar

ii. Prompt structuring and tool/function usage

Strong problem-solving and system design skills

i. Ability to design end-to-end workflows

ii. Debugging complex, multi-component systems

Additional Information: