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Software Engineer - People Technology
Actively Reviewing
HRS Group
Job Description
Hrs As a Company
BUSINESS UNIT
POSITION
We are seeking a Software Engineer – People Technology & AI to build and scale the next generation of data-driven and AI-powered HR platforms. This role sits at the intersection of engineering, data, and HR domain expertise, enabling smarter decision-making across workforce, productivity, and employee lifecycle processes.
You will act as a product-minded engineer, owning end-to-end development of solutions that integrate HR systems, data pipelines, and AI capabilities into scalable, enterprise-grade platforms.
This is not a traditional engineering role — you will translate business problems into data products, shaping how HR operates through technology, analytics, and intelligent automation.
CHALLENGE
Engineering & Architecture
Experience
BUSINESS UNIT
POSITION
We are seeking a Software Engineer – People Technology & AI to build and scale the next generation of data-driven and AI-powered HR platforms. This role sits at the intersection of engineering, data, and HR domain expertise, enabling smarter decision-making across workforce, productivity, and employee lifecycle processes.
You will act as a product-minded engineer, owning end-to-end development of solutions that integrate HR systems, data pipelines, and AI capabilities into scalable, enterprise-grade platforms.
This is not a traditional engineering role — you will translate business problems into data products, shaping how HR operates through technology, analytics, and intelligent automation.
CHALLENGE
- Build HR Data & Intelligence Platforms Design and develop scalable platforms that integrate HR systems (e.g., SuccessFactors, payroll, ATS) into unified data models enabling KPI tracking, analytics, and decision-making.
- Engineer AI-Enabled HR Solutions Develop and deploy AI-powered capabilities including forecasting, trend analysis, anomaly detection, and agent-based workflows to enhance HR operations and workforce insights.
- Own End-to-End Product Development Lead full lifecycle development — from problem framing, architecture design, development, deployment, and continuous optimization — treating solutions as products, not tickets.
- Enable Data-Driven HR Decision Making Translate complex HR and business requirements into intuitive dashboards, data models, and insights that influence leadership decisions and operational efficiency
Engineering & Architecture
- Design and build full-stack applications using modern frameworks (Next.js, Python, JavaScript, Golang)
- Develop microservices and APIs for scalable and modular system design
- Architect and manage cloud-native solutions (AWS: S3, RDS, EC2, ECS, Lambda)
- Implement CI/CD pipelines and DevOps best practices
- Build lightweight ETL/data pipelines using Python, Pandas, PySpark
- Define and maintain data models (fact/dimension, KPI structures)
- Ensure data validation, reconciliation, and integrity across multiple systems
- Translate data into meaningful business insights, especially within HR contexts
- Develop AI/ML use cases including: Forecasting workforce trends, Anomaly detection in HR data, Predictive insights for operations
- Build or integrate LLM based or agentic AI systems for HR workflows
- Implement evaluation, monitoring, and feedback loops for AI systems
- Integrate HR platforms such as SAP SuccessFactors with internal and external systems
- Develop and manage API-based integrations across enterprise tools
- Enable seamless data flow across HR, Finance, and Operations systems
- Design and build dashboards and reporting layers that clearly communicate insights
- Move beyond UI focus on data storytelling and decision enablement
Experience
- 5+ years of experience in software engineering (backend/full-stack)
- Proven experience building scalable, distributed systems and APIs
- Hands-on experience in data engineering and analytics pipelines
- Exposure to AI/ML or LLM-based systems in production environments
- Strong programming in Python + JavaScript (Node/Next.js)
- Experience with cloud platforms (AWS preferred)
- Knowledge of microservices, containerization (Docker/Kubernetes)
- Experience with CI/CD and DevOps practices
- Strong understanding of:
- Data modeling (KPIs, metrics, dimensions)
- Data validation and reconciliation
- Translating business problems into data solutions
- Ability to connect technical outputs to business impact (especially HR/workforce context)
- Experience with:
- LLM frameworks (LangChain, LlamaIndex, etc.)
- Agentic AI systems and orchestration
- Prompt engineering and evaluation frameworks
- Familiarity with MLOps / AIOps pipelines
- Experience with SAP SuccessFactors or similar HRIS platforms
- Exposure to enterprise system integrations (HR, Finance, Payroll)
Required Skills
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