ProgressSoft Corporation

Implementation Specialist

• Implement and install solutions at customer's infrastructure platforms.
• Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers.
• Act positively and respond promptly to the customer’s requests/tickets.
• Prepare, review and ensure the accuracy of technical documentation.
• Conduct Preventive / Corrective Maintenance visits.
• Perform any other job-related duties related to work.

Support Engineer, Implementation

Technical Project Manager

• Work collaboratively and effectively with team members.
• Plan, coordinate & manage projects, and resources, from ideation through post-production support.
• Be the liaison between the business units, technology teams, and support teams; support the project through implementation and post-project support.
• Write requirements' specifications according to standard templates and tools.
• Decompose high-level business needs into structured requirements, use cases, user stories/scenarios, business rules, functional and non-functional requirements; with sufficient detail to satisfy the needs of the business, developers, and testers.
• Lead requirements elicitation, analysis, and verification, ensuring that requirement statements are complete, consistent, concise, comprehensible, traceable, feasible, unambiguous, and verifiable and that they conform to standards.
• Develop Business Requirements Document and represent requirements using alternative views, such as analysis models (diagrams), prototypes, or scenarios, wireframes where appropriate.
• Participate in requirements prioritization and solution risk analysis.
• Facilitate user acceptance testing and draft UAT test plans, ensure test data is available and draft test cases.
• Participate in testing and quality assurance process.
• Collaborate with developers and end-users to ensure that application functionality meets client needs, test solutions, problem-solve issues, coordinate enhancements.
• Collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.

AI Engineer

• Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
• Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
• End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
• LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
• AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
• Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
• Mentor junior engineers and contribute to technical direction and engineering best practices.

Support Engineer, Implementation

Technical Project Manager

Senior AI Engineer