Genios AI · 3 months ago
Applied AI Engineering
United States
Full-time
Remote
Mid Level
3+ years expGenios AI is a scrappy, data-driven startup focused on revolutionizing financial workflows using AI. They are seeking an Applied AI Engineer who will be responsible for building functionalities into the product, writing production-grade code, and delivering AI features directly into user-facing applications.
Computer Software
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
Qualification
Required
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
Preferred
Production experience with LLMs (APIs or custom implementations) at meaningful scale
Experience building agentic systems or LLM-enabled products
Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks
Experience with performance optimization and high-scale document indexing systems
Prior startup experience, grit, and ability to thrive in fast-moving environments
Familiarity with databases and comfortable writing SQL queries
Benefits
Competitive Compensation
Unlimited PTO
AI Assistants for work (Coding, General Purpose, etc.)
Company
Genios AI
Move faster than the market.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase