Lead backend and service-layer engineering for autonomous command-and-control systems, integrating sensors, edge services, and AI-enabled decision-making.
Compensation
Base salary range: $145,000 to $275,000 annually. Visa sponsorship is not available.
Responsibilities
Design, implement, and optimize software for mission‑critical autonomous systems
Build backend services and real‑time messaging integrations connecting external systems and platforms
Develop software that processes data from diverse sensors for real‑time state estimation and threat detection
Build LLM‑ and AI‑enabled systems that assess threats and support timely responses
Integrate sensors, effectors, and autonomous platforms, including individual systems and swarms
Lead the team building an AI context platform for a collaborative data and analytics product, guiding the development of tools that help users understand, evaluate, and improve how AI agents work with business data.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Base salary range: $221,000 to $295,000 USD annually.
Responsibilities
Lead the engineering team responsible for the context platform.
Set technical direction, review designs, and contribute directly to implementation.
Manage and support engineers, setting a high bar while helping them do their best work.
Recruit strong engineering talent for the team.
Requirements
Computer science degree or equivalent experience
Nice to have: React
Nice to have: Postgres
Nice to have: Python
Skills
T
Full Stack Engineer
True Talent Solutions Partners · Posted Nov 10, 2026
Build full‑stack software that supports the operations of an early‑stage investment and startup ecosystem, including application workflows, events, and internal tools.
Compensation
Base salary range: $185,000 to $485,000 USD annually. Visa sponsorship is available.
Responsibilities
Design, build, and ship applications for application processing, events, and internal operations.
Develop event features for registration, coordination, and media handling.
Integrate with external services such as calendars, messaging platforms, and email.
Build semantic search and AI‑powered tools using language models, embeddings, and natural language interfaces.
Automate application workflows, including scheduling, notifications, status tracking, and email triage.
Requirements
Strong computer science fundamentals, demonstrated through education or exceptional projects.