Senior Software Engineer - AI & ML

Full Description

Key Responsibilities:- Design, build, and maintain AI-powered full-stack applications that improve user experience and internal tools.- Develop and operate scalable backend services & APIs for AI/ML workloads using languages such as Python, Golang, or Node.js.- Productionize ML / GenAI solutions, including:Retrieval-Augmented Generation (RAG) for support, content, and internal toolsRecommendationand ranking servicesClassification, quality scoring, and enrichment pipelines- Implement and evolve the AI/ML platform, including:Feature and embeddings storesVector search / semantic search infrastructureEvaluation dashboards, prompt/version management, and feedback loops- Own services end-to-end: from design and implementation to monitoring, observability, and on-call, ensuring high availability, performance, and reliability.- Collaborate with cross-functional teams (Product, Data Science, Data Engineering, Design, DevOps/SRE) to translate business problems into robust technical solutions.- Apply cloud-native and DevOps best practices, using AWS and containerization (ECS/EKS, Docker, etc.), CI/CD (GitHub Actions, Jenkins, etc.), and infrastructure-as-code.- Implement security, data protection, and responsible AI guardrails, ensuring safe and compliant use of models and data.- Participate in code reviews and help define and drive engineering best practices across the team.- Mentor and support other engineers (and occasionally data scientists), sharing knowledge on software design, clean code, and reliable ML in production.- Stay up to date with emerging AI/ML and software engineering trends and proactively propose improvements to our stack and ways of working. Desired Qualifications:- Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).- 7+ years of professional experience in software engineering, with significant exposure to backend and distributed systems.- Strong proficiency with one or more backend languages: Golang, NodeJS, or Python - Solid understanding of cloud architecture and cloud-native technologies, preferably AWS.- Experience designing and operating highly distributed, scalable services with strong observability (metrics, logs, traces, dashboards, alerts).- Familiarity with MLOps practices and tools: CI/CD for ML, model deployment patterns, monitoring model performance and data drift.- Knowledge of relational and NoSQL databases, including schema design and query optimization.- Strong understanding of DevOps practices and CI/CD pipelines using tools such as GitHub Actions, Jenkins, and Git.- Excellent problem-solving skills, attention to detail, and a strong sense of ownership.- Great communication and teamwork abilities, comfortable collaborating in cross-functional Agile teams.- Hands-on experience with AI/ML or GenAI in production, such as:Fine-tuning or integrating transformer modelsBuilding RAG pipelines and semantic searchWorking with vector databases (e.g., Pinecone, Weaviate, Milvus, OpenSearch, etc.)- Self-motivated and proactive, able to work independently where needed while contributing to team outcomes.- Passion for clean, efficient, maintainable code, and for turning AI/ML ideas into reliable, user-facing products.- Ability and willingness to mentor junior engineers and contribute to the growth of the team s AI/ML and software engineering capabilities.