AI Solutions Engineer – Remote Worldwide at CodeTact Recruit | Torre

AI Solutions Engineer – Remote Worldwide

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: To be defined

Provide your expected compensation while applying
location_on
Remote (anywhere)
Match
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences
Posted 2 days ago

Requirements and responsibilities


Join a fully remote team building practical AI solutions that move from prototype to production. This is a strong fit for an engineer who enjoys combining application development, cloud infrastructure, and modern LLM workflows.You’ll work across APIs, deployment, and AI product delivery, with room to shape reliable systems end to end. If you’re comfortable turning applied AI concepts into usable services, this role offers meaningful ownership and global collaboration.What You’ll DoBuild and maintain AI-powered services and backend applications using Python and FastAPI.Design and improve LLM workflows, including retrieval and vector-based search patterns.Develop and document APIs with clear, production-ready interface standards.Deploy and operate applications in cloud environments using containerized infrastructure.Contribute to scalable delivery pipelines across Docker, Kubernetes, and related tooling.Monitor experiments, iterations, and model-related workflows to support reliable releases.RequirementsProven experience delivering production software in Python in a commercial environment.Strong hands-on ability with API development, including FastAPI and API design principles.Experience building or integrating AI applications using LLM APIs and orchestration workflows.Practical knowledge of vector search or retrieval systems, such as pgvector or similar tools.Solid cloud and deployment experience across AWS, containers, and distributed environments.Ability to use AI-assisted engineering workflows responsibly to improve delivery, quality, and efficiency.Nice to Have:Experience with Hugging Face for model integration or experimentation.Familiarity with MLflow for tracking and managing ML-related workflows.Exposure to Pinecone or similar vector database platforms.BenefitsFully remote work with worldwide scope.Competitive Salary in USD.Opportunity to build real-world AI products.Ownership across engineering and deployment workflows.Collaboration with an international remote team.Long-term growth in applied AI engineering.