SD Solutions

Onboarding Specialist

• Leading integration projects for customers using ERP solutions, ensuring smooth and efficient configuration, testing, and deployment.
• Collaborating with internal and external teams to understand business requirements, address integration challenges, and provide technical support throughout the project lifecycle.
• Configuring and testing ERP systems (e.g., Netsuite, Intacct, QuickBooks) to meet customer specifications and ensure seamless integration with Tipalti.
• Coordinating with internal engineering teams and external customer teams to manage integration timelines, tasks, and issue resolution.
• Conducting end-user training and providing ongoing support to ensure smooth integrations.
• Participating in post-integration support, addressing technical issues, and providing continuous improvement recommendations.
• Contributing to developing and improving internal processes and documentation to ensure a repeatable, scalable, and efficient integration process.
• Collaborating with Product and Engineering teams to provide feedback and contribute to product enhancements based on customer experiences and technical insights.
• Utilizing Slack, JIRA, and Confluence for team collaboration, task management, and documentation sharing throughout the integration lifecycle.

Integration Specialist

Scheduler

• Make outbound follow-up calls (15-minute sessions) to offer free training sessions.
• Maintain accurate daily reporting: calls made, meetings booked, qualified vs unqualified opportunities
• Work closely with the Customer Success team for smooth handoffs and escalations

Call Scheduler

Security Engineer

• You design prompt injection scenarios in YAML, run them against frontier models, validate success rates, and submit passing tasks.
• 5 high-quality tasks per week (full-time equivalent).

Adversarial Task Writer, AI Security, RL Gyms

General

• Lead an AI-First Engineering Team
• Design and operate a development environment.
• Define workflows where humans guide, review, and validate.
• Own delivery of a mission-critical platform.
• Lead development of a back-office system and marketplace platform.
• Drive engineering quality by establishing high standards.
• Manage and grow a team of 3–6 engineers.
• Foster a culture of ownership and continuous improvement.
• Operate with a startup mindset balancing speed and scalability.
• Ensure data security and compliance as key concerns.

FinTech Team Lead

AI Engineer

• Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.
• Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds)
• Integrate LLMs (Claude, GPT, Gemini, etc') into reliable, observable pipelines
• Own prompt engineering, context management, and output validation
• Experience working in large-scale and big data environments
• Deploy and monitor AI services on AWS or Azure
• Instrument flows with logging and tracing so we can debug and improve them
• Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot features
• Connect frontend components to streaming AI responses
• Write clean, maintainable TypeScript code

AI Developer

Full-stack Engineer

• Develop and maintain our SaaS platform using modern web technologies.
• Collaborate with product and design teams to build user-friendly and scalable solutions.
• Write clean, maintainable, and efficient code.
• Troubleshoot and debug applications.
• Stay up-to-date with emerging trends and technologies in web development.

Senior Full Stack Engineer

Backend Engineer

• Lead the development of critical backend services within the Opmed.ai’s product
• Design & Implement architectural improvements to enable scalability and robustness of our backend solution
• Design and maintain schemas and data structures for our product.
• Develop data integration processes and pipelines
• Create ETL/Streaming processes to ingest & transform diverse data from customers
• Establish scalable, efficient, automated processes for large-scale data analyses

Senior Backend Engineer

Data Scientist

• Lead the design, implementation, and deployment of ML/DL algorithms.
• Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth product.
• Apply data mining techniques, perform statistical analysis, and build high-quality predictive models.
• Meet the business vision and strategy in accordance with the product innovation backlog.
• Collaborate with the product and engineering teams to deliver usable and informative analytical interfaces.

• Develop and maintain backend services using Python
• Build and maintain frontend applications using React
• Design and implement APIs and integrations
• Deploy and manage services on Google Cloud Platform (GCP)
• Work with cloud services such as Cloud Run, Cloud Tasks, BigQuery (advantage)
• Collaborate with product and design teams to deliver high-quality features
• Ensure performance, scalability, and reliability of systems
• Participate in architecture discussions and technical planning