Senior Developer, AI - HR Technology
Labcorp
IndiaremotePosted 1 month ago
Skill Required
AI-DevelopmentHR-TechnologyFullstack-DevelopmentMachine-Learning-EngineeringEnterprise-IntegrationSenior-AI-DeveloperHR-Technology-DeveloperSenior-AI-Software-DeveloperSenior-AI-ML-DeveloperSenior-AI-Development-LeadSenior-AI-Platform-DeveloperSenior-AI-Software-EngineerSenior-AI-Backend-DeveloperSenior-Full-Stack-AI-DeveloperSenior-Backend-Developer-(Artificial-Intelligence)AI EngineerAIsoftware engineeringGenerative AIdata engineeringMicroservicesScikit-learnObservabilityEngineeringJavaScriptTypeScriptTensorFlowServiceNowautomationdebugginganalyticsNode.jssecuritybuildingPyTorchWorkdayetc.)TestNGPythondesignOpenAPIFulltime
Key highlights
- Remote Senior Developer, AI/HR Technology role.
- 2nd Shift work schedule.
- Requires a Bachelor’s degree in Computer Science, Data Science, or AI/ML.
- Must have experience with IBM watsonx and AI/ML frameworks such as PyTorch and TensorFlow.
- Involves building AI solutions for HR platforms like Workday and ServiceNow.
- Labcorp offers an inclusive Equal Opportunity Employment environment.
Role overview
Labcorp is a global leader in laboratory services and diagnostic testing, helping healthcare providers, researchers, and patients make informed decisions that advance care. The company is seeking a remote Senior Developer, AI/HR Technology to develop and deliver AI‑enabled applications for HR use cases, leveraging advanced technologies, intelligent digital solutions, and data‑driven innovation.
Responsibilities
- Develop, test, and deploy full‑stack AI applications using IBM Watsonx and other AI/ML frameworks tailored to HR use cases (e.g., talent acquisition, employee experience & engagement, workforce analytics, learning & development, people operations, etc.).
- Build and maintain agentic workflows and orchestration layers that connect HR platforms such as Workday and ServiceNow.
- Implement APIs, microservices, and system integrations to ensure seamless connectivity across HR technologies.
- Develop RAG pipelines, vector stores, and embedding workflows, including observability and debugging tools for LLM applications.
- Build backend and frontend components using Python, JavaScript/Node.js, and React as needed for AI‑enabled applications.
- Identify and prioritize use cases that align with business goals for AI‑driven transformation.
- Collaborate with HR stakeholders to refine functional and technical requirements into build‑ready specifications, use case definitions, and technical designs into working solutions.
- Document technical designs, implementation details, code, configuration, and integration patterns for operational support and organizational knowledge sharing.
- Monitor AI models for accuracy, reliability, performance, and potential bias; support ongoing tuning and optimization.
- Troubleshoot production issues and ensure AI services operate reliably within the HR ecosystem.
- Implement AI solutions in accordance with security, data privacy, fairness, and ethical AI guidelines.
- Ensure integrations follow proper authentication standards (REST/SOAP, OAuth, etc.).
- Monitor and evaluate AI models for bias, accuracy, and performance.
- Work closely with engineering teams, HR process owners, HR technical teams, and enterprise IT partners to operationalize solutions.
- Provide technical guidance to HR team members learning how to adopt and use AI tools responsibly.
- Evaluate emerging AI technologies and trends with a focus on IBM Watsonx and recommend innovative applications for HR, ensuring the HR function remains future‑ready.
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI/ML.
- Proven track record of delivering AI solutions integrating AI capabilities with enterprise systems, preferably in HR or related domains (e.g., HRIS, CRM, ERP, case management).
- Experience integrating AI capabilities with enterprise systems (e.g., HCM, CRM, FIN ERP, LMS, case management, etc.).
- Strong software engineering skills with Python, SQL, JavaScript (Node.js, React), and cloud‑native development (AWS, Azure, or GCP).
- Hands‑on experience with AI/ML frameworks (PyTorch, TensorFlow, scikit‑learn) and LLM platforms (IBM watsonx, OpenAI, etc.).
- Experience with prompt engineering, retrieval‑augmented generation, agent memory, and MCP (model context protocol).
- Building RAG pipelines, vector stores, embedding workflows, and observability/debugging tools.
- Proficiency building secure REST and SOAP APIs and other system integration experience (OAuth, authentication, integration patterns, etc.).
- Develop and optimize LLM‑powered skills, prompt templates, retrieval chains, and agent memory systems.
- Familiarity with RPA, workflow automation, orchestration tools.
- Understanding of NLP pipelines, embeddings, vector DBs.
- Strong understanding of API design, microservices architecture, and data engineering.
- Experience with JSON, JavaScript/Node, Python, SQL/Presto, Bash/CLI, Dockerfile, JavaScript/TypeScript, JSX, React Hooks.
- Prompt engineering (prompt templates, few‑shot examples).
- Model invocation and token‑budget control, index creation, upserts, and query tuning.
- HR domain knowledge and experience with enterprise SaaS platforms and integration landscapes (Workday, ServiceNow, LMS, etc.).
- Building and maintaining agentic solutions using agentic frameworks (e.g., LangChain, LangGraph, ADK, MCP, CrewAI, etc.).
- Ability to convert conceptual requirements into practical technical solutions.
- Strong communication and collaboration skills across technical and non‑technical teams.
Additional details
- Work Schedule: 2nd Shift.
- Remote position.
- Labcorp is proud to be an Equal Opportunity Employer and does not tolerate harassment or discrimination of any kind.
- All qualified applicants will be considered without regard to protected characteristics, and applicants with arrest or conviction records will be considered per applicable law.
- Accessibility accommodations are available for individuals with disabilities via the Labcorp Accessibility site.
- For information on how personal data is collected and stored, see Labcorp’s Privacy Statement.
- Originally posted on Himalayas.