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Bengaluru, Karnataka, India
Onsite
Making a career change is a big decision.
Why consider Aptos?
Become a part of a team that is passionate about creating and delivering cutting-edge solutions for retailers worldwide. At our company, we’re dedicated to supporting your career aspirations and helping you exceed your goals. You’ll benefit from industry-leading training, global development opportunities, and the chance to collaborate within a diverse culture across our offices in nine countries. Our inclusive culture reflects our purpose: to make a difference for every colleague, every client, every day.
As a leading provider of Unified Commerce solutions for retail, our technology empowers top retail brands by optimizing product management, promotions, merchandising, and store operations. With the global shift toward our cloud-native, microservices architecture, opportunities for career growth have never been more exciting. Today, more than 100,000 retail stores in fashion, grocery, footwear, general merchandise, discount, and sporting goods rely on our solutions to generate nearly $2 trillion in annual revenue.
We hope you’ll join us in driving innovation and delivering impactful solutions as we continue leading the Unified Commerce revolution.
We are looking for a hands-on Technical Lead to drive the design and implementation of an enterprise Agentic AI platform built on AWS Bedrock, AWS AgentCore, LangChain, MCP Servers, FastAPI, and cloud-native microservices. The candidate will lead the architecture and development of AI agents that interact with enterprise applications through APIs and workflow skills to automate business processes and provide intelligent assistance. The platform will support governed AI workflows, auditability, authorization, observability, and enterprise-grade integrations.
Key Responsibilities
Design scalable AI agent workflows using AWS Bedrock and LangChain.
Lead design reviews and establish engineering best practices.
Mentor and guide junior engineers and fresh graduates.
Build multi-agent systems using AgentCore.
Develop AI Skills, Tools, Knowledge Sources, and Agent orchestration workflows.
Implement prompt engineering and agent evaluation frameworks.
Design Retrieval-Augmented Generation (RAG) solutions.
Build and expose domain-driven APIs using FastAPI.
Design MCP tools and server architecture.
Implement authentication, authorization, audit trails, and governance controls.
Establish observability, monitoring, and tracing for AI workflows.
Skills:
AI & LLM Technologies: AWS Bedrock, Agentic AI architectures, LangChain / LangGraph, Prompt Engineering
Backend Engineering: Python (Expert), FastAPI, REST APIs, Event-driven architecture, Microservices
Cloud Technologies: AWS, Lambda, ECS/EKS, API Gateway, IAM, CloudWatch, DynamoDB or PostgreSQL
We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.
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