Senior Software Engineer

Responsibilities

• Design, develop, and maintain scalable backend applications using Python Build and deploy AI-powered systems, including:
• oRAG-based applications o LLM integrations and intelligent services o AI orchestration frameworks (e.g., MCP or similar)
• Develop high-quality APIs (REST / GraphQL) to enable system integrations and AI workflows
• Design systems based on microservices and event-driven architectures Containerize applications and support cloud-native deployments (e.g., Docker, Kubernetes)
• Ensure secure coding practices are applied across all development activities - Write clean, maintainable, and testable code following engineering standard methodologies
• Collaborate with multi-functional teams including product, DevOps, and platform engineering .
• Participate in code reviews, design discussions, and architectural decisions
• Required Skills & Experience
• 5+ years of experience in software development using Python
• Strong foundation in computer science fundamentals , including:
• Hands on experience on Data structures, Algorithms, System design is must.
• Hands - on experience building AI applications , including:
• RAG - based systems
• LLM - powered tools or services
• AI orchestration layers (e.g., MCP or equivalent)
• Experience developing and consuming APIs and backend services
• Experience working with containerized applications :
• Building, running, and deploying containers
• Strong problem - solving and debugging skills
• Preferred / Nice - to - Have Skills
• Experience with Kubernetes or container orchestration platforms
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Exposure to:
• Vector databases (e.g., FAISS, Pinecone, Weaviate) AI frameworks (e.g., LangChain, Semantic Kernel)
• Experience with event - driven systems (Kafka, messaging queues)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience building platform services or reusable backend components
• Security & Engineering Standards
• Understanding of secure software development practices
• Experience applying:
• Authentication and authorization
• Secure API design
• Input validation and data protection
• Commitment to code quality, testing, and maintainability
• What Success Looks Like
• Delivery of high - quality, scalable backend services
• Successful implementation of AI - powered features in production
• Improved system performance, reliability, and maintainability
• Adoption of standard methodologies and reusable engineering patterns
• Collaboration across teams and consistent delivery outcomes
• Why Join Us
• Work on modern AI applications and backend systems
• Opportunity to build production - grade AI solutions at scale
• Collaborative and innovation - driven engineering environment
• Strong focus on modern engineering practices and continuous learning
• About bp
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
• Additional Information
• We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
• Even though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered.
• What you can expect from us!
• Our commitment to diversity, equity and inclusion:

Benefits

Additional Information

Entity: Technology Job Family Group: IT&S Group Job Description: Role Overview We are looking for a Senior Software Engineer (Python) to build scalable backend systems and modern AI-powered applications. In this role, you will design and develop high-performance services, including AI-driven solutions such as Retrieval-Augmented Generation (RAG) systems and AI orchestration layers. You will work on building robust APIs, integrating AI capabilities, and delivering production grade, containerized applications that power real-world enterprise use cases.

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