
11 - 50 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
OneSeven Tech (OST) is a digital product studio specializing in software design and engineering for startups, SMBs, and enterprises. With a team of global software and AI experts, OST has been in business for 7 years, successfully completing 88 projects for over 62 clients across various industries. The company focuses on providing services such as product strategy, web and mobile app development, and AI/ML integration. Known for its innovative solutions, OST has expanded its expertise from startups to large enterprises, including publicly traded companies. Their services cater to clients at every stage, from idea generation to growth and enterprise scaling. OST prides itself on a 4. 9 out of 5-star rating from clients for on-time delivery and high-fidelity designs, successfully meeting regulatory requirements in sectors like healthcare with HIPAA compliance.
🔥 0 minutes ago
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11 - 50 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
OneSeven Tech (OST) is a digital product studio specializing in software design and engineering for startups, SMBs, and enterprises. With a team of global software and AI experts, OST has been in business for 7 years, successfully completing 88 projects for over 62 clients across various industries. The company focuses on providing services such as product strategy, web and mobile app development, and AI/ML integration. Known for its innovative solutions, OST has expanded its expertise from startups to large enterprises, including publicly traded companies. Their services cater to clients at every stage, from idea generation to growth and enterprise scaling. OST prides itself on a 4. 9 out of 5-star rating from clients for on-time delivery and high-fidelity designs, successfully meeting regulatory requirements in sectors like healthcare with HIPAA compliance.
• Monitor, maintain, and optimize the agentic infrastructure running on LangChain / LangSmith / LangGraph • Manage container-based deployments and ensure stability across environments • Build and own CI/CD pipelines for agent and model deployments • Set up and maintain observability — tracing, alerting, and performance dashboards for LLM-based systems • Support MCP server integration as the client-side team ships new components • Identify and resolve latency, cost, and reliability issues before they become production incidents • Work closely with the client's MCP technical lead — small team, no bureaucracy, your infrastructure decisions are immediately visible
• Strong DevOps fundamentals in practice — you own deployments, not just contribute to them. • Container orchestration (Docker + ECS/Fargate or equivalent), GitHub Actions for CI/CD, AWS (ECS, RDS, S3, CloudWatch), and MCP protocol familiarity are part of your daily work • Hands-on production experience with LangChain, LangSmith, and/or LangGraph — not course projects or prototypes • LLM infrastructure thinking — you understand token cost, latency tradeoffs, rate limits, and how to monitor them in production • Comfortable working autonomously in a small team without daily hand-holding • Near-native English — daily async communication with a US-based technical lead and client stakeholders
• $4000 - $5000/month — paid in USD, bi-weekly via Deel • US Eastern Time hours (EST) — Monday to Friday, 9:00 AM–6:00 PM EST • Fully Remote — work from anywhere in Latin America • Long-term contract — starting with a 6-month contract, with potential to extend • Paid PTO — accrual begins after 3-month trial period • Referral Program — earn a bonus for referring talent that gets hired
Apply Now🕒 June 2
Sr. Software Engineer managing recommendation systems for a B2B marketing platform. Engage in the design, training, and deployment of ML systems affecting client revenue.
🗣️🇪🇸 Spanish Required
AWS
Azure
Google Cloud Platform
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
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Own and operate recommendation systems for a high-scale B2B marketing platform. Contributing to ML systems, enhancing consumer data processing with direct revenue impact.
🗣️🇪🇸 Spanish Required
AWS
Azure
Google Cloud Platform
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
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AWS
Azure
Google Cloud Platform
Python
PyTorch
Spark
SQL
Tensorflow
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Microservices
Python
PyTorch
Scikit-Learn
Tensorflow
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Machine Learning Engineer responsible for developing and optimizing ML models. Join a data startup focused on innovative Big Data and Machine Learning technologies.
AWS
Azure
Cloud
Google Cloud Platform
Numpy
Pandas
Python
Scikit-Learn
SQL