Software Engineer - AI/ML Platform & Cloud Engineering

Accede Solutions is seeking an experienced Software Engineer with strong Python, cloud engineering, and backend development expertise to support the development and deployment of next-generation AI/ML applications.

This role focuses on building scalable backend services, automating cloud infrastructure, and enabling reliable deployment of AI-powered solutions. The ideal candidate will work closely with software engineers, data scientists, and AI/ML specialists to transform innovative AI capabilities into secure, scalable, production-ready applications.

Candidates with experience in cloud-native development, infrastructure automation, LLM-based applications, and modern DevOps practices will be well suited for this opportunity., * Develop and maintain scalable backend applications, APIs, and distributed services using Python.

• Design and automate cloud infrastructure using Infrastructure as Code (IaC) tools such as Pulumi, Terraform, or similar technologies.
• Build and maintain CI/CD pipelines to streamline application development, testing, deployment, and release management.
• Support the deployment and operationalization of AI/ML models, LLM applications, Retrieval-Augmented Generation (RAG) solutions, and AI agent workflows.
• Work with AI/ML teams to integrate model-serving capabilities, inference services, and data processing pipelines into production environments.
• Implement containerized application deployments using Docker and Kubernetes or other cloud-native technologies.
• Improve system reliability and performance through monitoring, logging, tracing, alerting, and proactive troubleshooting.
• Establish reusable engineering components, automation frameworks, and development standards that improve team productivity.
• Apply best practices for application security, testing, code quality, scalability, latency, and cloud cost optimization.
• Investigate production issues, conduct root cause analysis, and implement long-term corrective solutions.
• Collaborate with architecture, security, data, product, and platform engineering teams to deliver reliable technical solutions.
• Participate in code reviews, technical discussions, and knowledge-sharing activities to promote engineering excellence.

• 5+ years of professional software engineering or related development experience.
• Strong hands-on Python programming experience, including the development of production-grade backend services and APIs.
• Experience designing and supporting cloud-based applications and distributed systems.
• Practical experience with Infrastructure as Code tools such as Pulumi, Terraform, or equivalent solutions.
• Working knowledge of at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
• Experience with CI/CD pipelines, infrastructure automation, and modern software deployment practices.
• Understanding of production support, system monitoring, troubleshooting, and application performance optimization.
• Familiarity with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Ability to work independently, take ownership of technical deliverables, and adapt to evolving project requirements., * Exposure to MLOps, AI/ML infrastructure, model deployment, or inference-serving technologies.
• Experience supporting Large Language Model (LLM) applications, RAG pipelines, or agentic AI solutions.
• Familiarity with Databricks, Azure AI Foundry, or comparable AI/ML platforms.
• Knowledge of serverless architectures, cloud security, observability frameworks, and distributed application design.
• Experience developing reusable platform capabilities, developer tools, and automated engineering workflows.
• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline is preferred.