S-PRO

Backend Engineer

• Design and implement scalable backend APIs using Python (Django and/or FastAPI).
• Manage data models and schema migrations using PostgreSQL on AWS RDS.
• Use Amazon S3 to store and serve assets and structured data
• Integrate with OpenAPI / Amazon Bedrock for generative AI use cases (e.g., document processing, summarization)
• Build internal tooling and dashboards (e.g., graphs, tables, metrics)
• Contribute to lightweight frontends where necessary using tools like Lovable, Streamlit etc.
• Collaborate with DevOps to establish GitLab CI/CD pipelines
• Follow best practices in testing, version control, and secure development
• Participate in code reviews, architectural discussions, and team ceremonies

Mid-Level Python Developer

AI Engineer

• Support and extend the existing agentic AI infrastructure
• Develop new functionality in the agent layer and adjust existing workflows
• Implement persistent memory for AI agents
• Work with embeddings and vector databases to improve search and personalization
• Collaborate closely with product teams to deliver customer-facing features

AI Engineer – FinTech Domain

Frontend Engineer

• Strong problem-solving and troubleshooting abilities.
• Excellent teamwork and communication skills.
• Ability to adapt to new technologies and learn quickly.
• Attention to detail and a commitment to delivering high-quality code.
• Participating in code reviews and providing constructive feedback.
• Communicating effectively with team members and stakeholders to ensure project success.

Front-end Engineer, React

Data Scientist

• Conduct deep exploratory data analysis on historical ticket sales, movie schedules, attendance trends, and promotional campaigns.
• Build robust pricing models and demand forecasting tools considering time, location, movie type, holidays, and social media buzz.
• Develop optimization algorithms for showtime scheduling across multiple screens and locations.
• Analyze promotional campaign effectiveness and build attribution models to optimize future marketing spend.
• Engineer relevant features from transactional, demographic, and behavioral data.
• Create initial PoC models and pipelines for pricing, scheduling, and promotions optimization.
• Collaborate with business and operations teams to define KPIs and translate business challenges into modeling tasks.
• Deliver interactive dashboards (Streamlit or similar) and reports to visualize model outputs and business insights.
• Document the model logic, assumptions, and performance for both technical and non-technical audiences.

• S-PRO, a top-tier Digital Innovation and Software Engineering company specializing in Finance, Renewable Energy and Healthcare, with expertise in AI, Blockchain and Data Science and a team of over 200 professionals.
• About the project: Our client delivers consulting services in electricity optimization and is developing an AI-driven platform. The system is live, and the current focus is on improving the agent layer and adding persistent memory and new features to ensure scalability.
• Responsibilities: Support and extend the existing agentic AI infrastructure.
• Responsibilities: Develop new functionality in the agent layer and adjust existing workflows.
• Responsibilities: Implement persistent memory.
• Responsibilities: Work with embeddings and vector DBs to improve search and personalization.
• Responsibilities: Collaborate with product teams to deliver customer-facing features.