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Backend ML Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Backend ML Engineer. in the . United States. .. As a Backend ML Engineer, you will play a pivotal role in building the infrastructure that powers emotionally intelligent AI systems. You will design and implement scalable, resilient backend services and ML pipelines, integrating real-time personalization, memory management, and inference systems. This role involves close collaboration with AI, iOS, and product teams to deliver seamless and responsive user experiences. You will architect microservices, manage cloud infrastructure, and ensure system observability, security, and performance at scale. This is a unique opportunity to contribute to cutting-edge AI products, shaping the backend that enables emotional intelligence and personalized interactions. You will own end-to-end backend development while ensuring robust, maintainable, and high-quality solutions.. . Accountabilities. Design, develop, and maintain backend services and ML pipelines using . C#/.NET/ASP.NET, Python (FastAPI, AWS Lambda). , and microservice architecture.. Build and maintain . REST and GraphQL APIs. for low-latency, resilient interaction with frontend applications.. Architect ML model serving infrastructure with Docker, AWS Lambda, ECS, and async eventing/pub-sub systems.. Integrate and scale inference with LLMs and manage retrieval-augmented generation, memory engines, and personalization layers.. Manage AWS cloud infrastructure including Lambda, ECS, S3, RDS, CloudFront, IAM, Route53, ensuring security, SOC-2 readiness, and high availability.. Implement CI/CD pipelines, logging, error handling, observability, and rollback strategies to ensure production reliability.. Collaborate with AI, product, and iOS teams to tune backend systems for real-time personalization and emotional intelligence features.. 6–15 years of experience in . backend or full-stack development. , including building 0–1 products or teams in startup environments.. Proven track record delivering . production-ready backends. in high-growth, early-stage startups.. Experience integrating or scaling . LLM-based products. , particularly with memory, personalization, or emotional layers.. Strong knowledge of . systems architecture, dependency injection, design patterns (Strategy, IoC), and scalable microservices. .. Hands-on experience with . Python and C#/.NET. ; familiarity with FastAPI, AWS Lambda, or Java/Spring is a plus.. Proficiency in . cloud infrastructure (AWS), database management (Postgres, Redis), vector DBs (PgVector), and search engines (OpenSearch). .. Experience with . Infra-as-Code (Terraform), CI/CD pipelines, and observability tools (OpenTelemetry, Grafana, Sentry, CloudWatch). .. Strong . problem-solving, systems thinking, and collaborative communication skills. .. . Company Location: United States.