[Hiring] Backend AI Engineer @Nexxa.AI

Role Description

We're looking for Backend AI Engineers to design, build, and own the core AI infrastructure and services that power Nexxa's products in production. This role builds the systems that make solutions possible at scale:

• Model-serving pipelines
• Inference and orchestration layers
• Data pipelines
• APIs and microservices connecting Generative AI, Computer Vision, and Machine Learning models to real enterprise environments

This role is a blend of backend software engineering, ML infrastructure, and systems architecture. You'll design distributed systems, integrate and serve models in production, and build reusable platform capabilities.

Key Responsibilities

• Design, build, and maintain backend services and APIs for GenAI, LLM, and Computer Vision model integrations.
• Build and own core AI/ML infrastructure: model-serving pipelines, inference services, data pipelines, and embedding/vector stores.
• Architect scalable, production-grade systems for real-time and batch AI workloads.
• Implement and optimize RAG systems, prompt/context pipelines, and orchestration layers.
• Build robust APIs, microservices, and integration layers connecting AI systems to customer data.
• Own the reliability, performance, and observability of backend AI systems.
• Collaborate closely with Forward Deployed Engineers, ML engineers, and product teams.
• Evaluate and integrate ML/CV/LLM models into production backend systems.
• Produce clear technical documentation: architecture diagrams, API specs, and runbooks.
• Mentor engineers and contribute to internal backend engineering best practices.

Qualifications

• 4–8+ years of experience in backend software engineering, ML/platform engineering, or similar roles.
• Strong proficiency in TypeScript/Node.js, with API and microservice design skills.
• Working proficiency in Python is a plus for ML/model integration work.
• Hands-on experience building and operating production backend systems at scale.
• Experience integrating ML or Generative AI models into backend services.
• Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Experience designing and operating data pipelines across structured and unstructured data.
• Hands-on experience building retrieval-augmented generation (RAG) systems.
• Strong grasp of system design fundamentals: scalability, reliability, security, and observability.
• Comfortable working cross-functionally with ML engineers, product, and customer-facing teams.
• Bachelor's degree (or higher) in Computer Science or a related field.

Preferred

• Familiarity with ML frameworks (PyTorch, TensorFlow, OpenCV).
• Experience with MLOps tooling: model registries, feature stores, CI/CD for ML.
• Background in event-driven or real-time systems (Kafka, gRPC, WebSockets).
• Experience in industrial, IoT, or operational technology (OT) environments.
• Experience in startup or high-growth environments.

What We're Looking For

• A backend engineer who wants to build the infrastructure powering real-world autonomous AI systems.
• Someone who can architect for scale and reliability while still moving fast.
• A systems thinker who enjoys turning ambiguous AI capabilities into dependable, production-grade backend services.
• A strong collaborator who partners well with ML engineers, Forward Deployed teams, and product.

Why Join Nexxa.AI?

• Innovative Environment: Build foundational systems behind groundbreaking AI and automation technologies.
• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.
• Professional Growth: Benefit from significant opportunities for career development and advancement.
• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.