
Business Core Solutions (BCS) is an IT solutions provider specializing in automation and orchestration to streamline business operations. Their flagship product, Symphony, offers various modules including Maestro AI for business AI and intelligent automation, Replay for test automation, and BGM for background job management. BCS provides end-to-end services such as Application Managed Services, Integration, Security and Authorization, and Test Consultancy, primarily focusing on SAP and Salesforce environments. The company aims to revolutionize the IT landscape by eliminating manual processes, enhancing efficiency, and driving business growth through advanced automation technologies. They emphasize cost reduction, increased IT productivity, and enhanced compliance for their clients.

Business Core Solutions (BCS) is an IT solutions provider specializing in automation and orchestration to streamline business operations. Their flagship product, Symphony, offers various modules including Maestro AI for business AI and intelligent automation, Replay for test automation, and BGM for background job management. BCS provides end-to-end services such as Application Managed Services, Integration, Security and Authorization, and Test Consultancy, primarily focusing on SAP and Salesforce environments. The company aims to revolutionize the IT landscape by eliminating manual processes, enhancing efficiency, and driving business growth through advanced automation technologies. They emphasize cost reduction, increased IT productivity, and enhanced compliance for their clients.
About the Role:
We are seeking a Senior Engineer (Python Backend Engineer) with deep expertise in backend
systems, containerized deployments, and AI/ML infrastructure. You will work extensively on
backend architecture, integrating AI agents, optimizing inference pipelines, and extending opensource frameworks to build the next generation of AI-driven products.
Roles & Responsibilities:
• Develop RESTful APIs and backend systems using Django REST, FastAPI, or Flask.
• API & Microservices: Develop RESTful and asynchronous APIs with FastAPI for AI and GenAI
services.
• Containerization & CI/CD: Create and optimize Dockerfiles; manage CI/CD pipelines
(preferably Jenkins) for deployment and scaling.
• Open-Source Engineering: Reverse-engineer, customize, and extend open-source
frameworks to fit product-specific needs.
• AI Backend Integration: Build orchestration logic for AI agents (task routing, tool usage,
memory/context handling).
• System Optimization: Implement monitoring, performance tuning, and scaling strategies for
inference and backend services.
• Collaboration: Work closely with AI/ML teams to provide backend support for LLM
integration, prompt handling, and workflow automation.
• Version Control: Review and merge Python code/PRs using Git/Bitbucket.
Skills & Knowledge:
• Core Expertise: 3–5 years of hands-on Python backend/server-side development.
• Strong proficiency in FastAPI, asynchronous programming, and microservice architecture.
• Proficiency with Docker, containerization, and deployment best practices.
• Experience with CI/CD pipelines (Jenkins preferred).
• Familiarity with Linux-based systems, Git/Bitbucket, and distributed deployments.
• Strong knowledge of databases (SQL and NoSQL).
• Ability to read, analyze, and extend open-source frameworks.
Education & Skills:
• Bachelor’s or master’s degree in computer science, Information Technology, or a related
field.
• Strong problem-solving and analytical skills.
• Ability to collaborate in cross-functional teams and deliver in fast-paced environments.