Hybrid Software Engineer – AI Platform

at Genios AI

• Job title: Software Engineer – AI Platform
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: GRPC, Microservices, Python, PyTorch, Scikit-Learn, Tensorflow, Go
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Software Engineer developing AI-driven features for financial workflows at Genios. Collaborating across stacks to bring advanced AI workflows into production systems.

Responsibilities

• Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
• Integrate model training, evaluation, deployment, and monitoring into product workflows
• Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
• Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
• Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
• Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
• Work across the stack—from backend systems to product SDKs—to deliver AI features directly into user-facing applications.
• Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
• Own critical product components and take responsibility for delivering robust, production-grade features.
• Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
• Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Requirements

• BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
• Strong software engineering background with proven experience shipping production systems.
• 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
• Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
• Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
• Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
• Experience building and scaling backend platforms, APIs, and microservices.
• Comfortable working full-stack, from model APIs down to user-facing integrations.
• Have shipped AI features that users actually use; production experience over theoretical knowledge.
• Track record of building reliable products with strong attention to detail and usability.
• Autonomous and excited about taking ownership over major initiatives.
• Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Benefits

• Competitive Compensation
• Unlimited PTO
• AI Assistants for work (Coding, General Purpose, etc.)