Senior AI Software Engineer – Backend

YOUR CONTRIBUTION

Our culture is agile and collaborative, and we genuinely believe our people are some of the best with which you’ll ever work.

We are looking for a skilled and passionate Senior AI Software Engineer – Backend to join our Centre of Excellence and the SWE team to design, build and scale production-grade AI services, intelligent workflows, and backend platforms that create measurable business value.

YOUR “DAY-TO-DAY”:

• Design, develop and operate production-grade AI backend services, APIs, and event-driven components with strong focus on scalability, reliability, latency, and cost efficiency.

• Build and integrate capabilities based on LLMs and other AI services, including prompt orchestration, structured outputs, tool calling, and workflow automation.

• Develop retrieval and knowledge integration patterns such as RAG, vector search, and metadata-driven content pipelines for enterprise use cases.

• Participate and support Agile methods and frameworks by taking part in planning events, daily stand-ups, code reviews, and technical discussions.

• Collaborate closely with product, platform, frontend, DevOps, security, and data stakeholders as a valued member of a self-managing, cross-functional SWE team.

• Implement robust observability, evaluation and guardrails for AI solutions, including logging, tracing, monitoring, feedback loops and incident troubleshooting.

• Manage and optimize scalable distributed systems on the Cloud, using secure-by-design and infrastructure-as-code practices.

• Develop automated tests and evaluation suites to validate backend logic, model behavior, regression scenarios, and non-functional requirements.

• Translate product and business needs into reliable technical designs, reusable services, and maintainable integration patterns.

• Continuously improve architecture, developer experience, and engineering standards by contributing to best practices, reviews, and technical mentorship within the Backend community.

BACKGROUND AND QUALIFICATIONS:

• Bachelor's Degree or higher in Computer Science, Software Engineering, Data Engineering, or related field, with appropriate professional experience.

• Proven work experience as a Backend Engineer or Software Engineer for 6+ years, with hands-on delivery of AI-enabled or data-intensive backend solutions.

• Strong experience with Agile delivery frameworks such as Scrum and modern source code management practices using Git.

• Knowledge of AI engineering patterns such as agentic workflows, semantic caching, prompt/version management, and human-in-the-loop controls.

• Strong proficiency in one or more backend languages such as Python, Java, Go, Kotlin, C#, or TypeScript, with production experience building APIs and services.

• Solid experience designing and operating backend services, microservices, and distributed systems, including RESTful APIs, asynchronous processing, and messaging patterns.

• Hands-on experience with Python-based AI/backend frameworks and service development patterns, such as FastAPI, async programming, data validation, and structured outputs.

• Experience integrating foundation model or cloud AI services and building reliable orchestration layers for prompts, tools, and model interactions.

• Good knowledge of data access patterns and storage technologies, including SQL and NoSQL databases, caching, and vector databases or semantic retrieval concepts.

• Experience with AWS cloud services and cloud-native engineering practices, including serverless, containers, observability, and infrastructure automation.

• Experience with Terraform or other infrastructure-as-code tooling.

• Knowledge of AI solution quality practices, including testing strategies, evaluation, monitoring, security, privacy, and responsible-use guardrails.

• Knowledgeable about software architecture, design patterns, logging, monitoring, and performance optimization.

• Excellent analytical and time management skills, strong teamwork mindset, and a pragmatic problem-solving attitude.

• Passionate about software engineering, continuous learning, and the practical adoption of emerging AI technologies.

ADDITIONAL EXPERIENCE PREFERRED OR HELPFUL:

• Experience with cloud AI platforms and managed model services, preferably in AWS environments.

• Experience with Kubernetes, Docker containers, and CI/CD pipelines for deploying and operating AI-enabled services.

• Experience with product and collaboration tools such as Jira and Confluence.

Summary:

Senior AI Software Engineer – Backend

Role in a nutshell: A senior backend engineer focused on building and scaling production-grade AI services — think LLM integrations, RAG pipelines, agentic workflows, and cloud infrastructure — within a collaborative, cross-functional team.

Experience needed: 6+ years in backend/software engineering, with hands-on AI or data-intensive delivery.

Must-have tech: Python (FastAPI, async), REST APIs, microservices, Terraform, AWS, SQL/NoSQL/vector databases, Git, Agile/Scrum.

Nice to have: Kubernetes, Docker, CI/CD, Terraform, Jira/Confluence.

Key soft skills: Strong communicator, team player, pragmatic problem-solver, passionate about AI and continuous learning.

Degree: Computer Science, Software Engineering, or related field.

The right candidate is someone who bridges solid backend engineering fundamentals with practical AI delivery experience — not just a data scientist or ML researcher, but an engineer who ships reliable, observable AI products in production.