OneSeven Tech (OST)

Technical Recruiter

• Own full-cycle recruiting for multiple concurrent senior technical roles — sourcing, outreach, screening, and pipeline management in Airtable
• Build and maintain scoring rubrics and screening guides tailored to each role's technical and soft-skill requirements
• Run English-language screening calls and assess technical depth, seniority signals, and cultural fit
• Coordinate technical assessments (Coderbyte) and manage the flow from assessment to technical interview to client presentation
• Flag any risks early, before wasted outreach cycles
• Cross-flag strong candidates for other open roles when there's a clear, justified fit
• Maintain clean, English-language documentation across Airtable (client-facing notes) and Slack (internal updates to Recruiting Lead and leadership)
• Manage inbound applications via GoHire and keep pipeline stages current

Senior Technical Recruiter – Tech & AI Talent

Solutions Engineer

• Set and create cloud-native architectures on AWS across multiple projects, ensuring scalability and security from the ground up
• Lead teams of engineers (Data Science, Development, Cloud, AI) across various industries such as Healthtech, Media, or AI transformation
• Partner with the CEO/CTO on technical discovery, effort estimation, and creating solution architecture diagrams for potential clients
• Define strategy for agentic workflows, RAG implementations, and MCP-based integrations
• Conduct code reviews, enforce engineering best practices, and lead technical interviews to benchmark talent as the team scales

Solutions Architect – Technical Team Lead, AWS, Python, AI/LLM, Terraform

Machine Learning Engineer

• 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

AI/ML Engineer – MCP Infrastructure

Backend Engineer

• Build and ship MCP server components
• Design the backend architecture for tool-use and agent orchestration layers integrated into an existing Java/SQL Server stack
• Own the implementation quality — not just writing code, but defining patterns the team can follow
• Collaborate daily with the existing AI Engineer as MCP and agent workstreams intersect
• Contribute to technical decisions with your own perspective — this is a peer relationship, not a directive one

Senior Backend Engineer – MCP Infrastructure

Security Analyst

• Own the security posture of the MCP infrastructure: define and implement JWT-based authentication, manage secrets, and establish controls for tool-use and agent interactions
• Identify and remediate prompt injection risks, unauthorized tool invocations, and privilege escalation vectors in the agentic layer
• Review and harden AWS infrastructure configurations: IAM policies, VPC rules, secrets exposure, logging and alerting
• Work through the client's existing application security backlog — issues currently handled ad hoc by IT and senior devs that need a permanent, focused owner
• Partner with the engineering team to review new integrations and MCP components before they ship, and establish a repeatable pre-ship security review process
• Document security controls, threat models, and remediation history so the client team can operate independently over time

Senior Technical Recruiter – Tech & AI Talent

Solutions Architect – Technical Team Lead, AWS, Python, AI/LLM, Terraform

AI/ML Engineer – MCP Infrastructure

Senior Backend Engineer – MCP Infrastructure

Security Analyst – MCP & Application