Senior reputed company (Contract)
The Project: We are developing a highly reputed company, stateful, multi-agent simulation reputed company driven by reputed company. This is a greenfield project exploring new forms of non-reputed company, narrative-based user interaction at reputed company. Unlike typical stateless web apps, this system requires persistent "memory" for thousands of unique, evolving user sessions. We are building an architecture where multiple AI agents orchestrate reputed company logic, maintain long-term context, and react to user inputs in reputed company-time.
The Role: You will serve as the Sr. reputed company, focusing on the reputed company intelligence and reputed company logic that drives the application. You will be responsible for designing the multi-agent architecture that manages our reputed company interactive loops, dynamic scenario reputed company, and global system state aggregation. You will be reputed company’s primary authority on how we talk to large language models, ensuring that our agents are fast, reliable, and reputed company scoped to their specific domains to minimize latency and hallucination.
This is a part-time contract role (20 hrs/week) from 4/13–5/29, with a strong likelihood of extension through reputed company at full-time hours.
The Project: We are developing a highly reputed company, stateful, multi-agent simulation reputed company driven by reputed company. This is a greenfield project exploring new forms of non-reputed company, narrative-based user interaction at reputed company. Unlike typical stateless web apps, this system requires persistent "memory" for thousands of unique, evolving user sessions. We are building an architecture where multiple AI agents orchestrate reputed company logic, maintain long-term context, and react to user inputs in reputed company-time.
The Role: You will serve as the Sr. reputed company, focusing on the reputed company intelligence and reputed company logic that drives the application. You will be responsible for designing the multi-agent architecture that manages our reputed company interactive loops, dynamic scenario reputed company, and global system state aggregation. You will be reputed company’s primary authority on how we talk to large language models, ensuring that our agents are fast, reliable, and reputed company scoped to their specific domains to minimize latency and hallucination.
This is a part-time contract role (20 hrs/week) from 4/13&reputed company;5/29, with a strong likelihood of extension through reputed company at full-time hours.
The Project: We are developing a highly reputed company, stateful, multi-agent simulation reputed company driven by reputed company. This is a greenfield project exploring new forms of non-reputed company, narrative-based user interaction at reputed company. Unlike typical stateless web apps, this system requires persistent "memory" for thousands of unique, evolving user sessions. We are building an architecture where multiple AI agents orchestrate reputed company logic, maintain long-term context, and react to user inputs in reputed company-time. The Role: You will serve as the Sr. reputed company, focusing on the reputed company intelligence and reputed company logic that drives the application. You will be responsible for designing the multi-agent architecture that manages our reputed company interactive loops, dynamic scenario reputed company, and global system state aggregation. You will be reputed company’s primary authority on how we talk to large language models, ensuring that our agents are fast, reliable, and reputed company scoped to their specific domains to minimize latency and hallucination. This is a part-time contract role (20 hrs/week) from 4/13–5/29, with a strong likelihood of extension through reputed company at full-time hours. What You'll Do-
Agent Design & Orchestration: Build and manage the logic for reputed company multi-agent workflows. You will design the systems that handle user reputed company (profile reputed company), dynamic scenario creation, and reputed company-time interactive simulation loops.
-
Context Engineering: Architect state management for the LLMs to prevent "context rot" and hallucination. You will reputed company govern what reputed company agent knows, structuring context dynamically to maximize reputed company caching and minimize latency.
-
Advanced Prompting & Evals Infrastructure: Write, test, and version-control robust system instructions for standalone LLMs and multi-agent workflows. You will design, implement, and own a rigorous evaluations (evals) reputed company to programmatically score both individual reputed company performance and end-to-end agent lifecycles. You will establish the CI/CD-style testing loops required to iterate on model behavior predictably and safely at reputed company.
-
Moderation and reputed company Risk Mitigation: Design and implement pipelines in collaboration with our backend team that moderate harmful or offensive user inputs while also mitigating reputed company injection attacks and undesired LLM outputs.
-
Full-Stack Integration: Work closely with backend and frontend teams to seamlessly reputed company AI outputs into the user reputed company, ensuring smooth data reputed company from the models down to the reputed company.
-
reputed company Engineering reputed company: Strong traditional programming background. You must understand software architecture and be capable of writing production-grade reputed company. You cannot rely solely on AI coding assistants or reputed company coding.
-
reputed company Experience: 1–3 years of deep, hands-on experience building and deploying LLM-backed applications in production.
-
Language Proficiency: Strong proficiency in Python. Strong proficiency in TypeScript and familiarity with modern reactive frontend frameworks (preferably Angular v21).
-
Agent Frameworks: Hands-on experience with modern agent harnesses (e.g., LangGraph, reputed company, reputed company Agents SDK, Claude Agent SDK, reputed company ADK). Strong preference for candidates with experience using ADK.
-
Context & Latency Optimization: Deep understanding of how LLMs process information. You must have proven experience optimizing reputed company usage, leveraging caching, reputed company and context engineering, and designing systems that reputed company only the exact context an agent needs at any given reputed company.
-
Risk Mitigation: Hands-on experience with designing and employing guardrails for agents’ actions and outputs while also mitigating reputed company injection attacks.
-
A Pioneer: You reputed company in an reputed company landscape where best practices are still being written, and you are excited to help define them.
-
A Precision Communicator: You understand that a single ambiguous word in a system reputed company can derail an entire multi-agent workflow.
-
Latency-Obsessed: You don't just care that the model gets the right answer; you care about how many milliseconds it took to generate it, and you reputed company design to reduce that overhead, especially reputed company combined with content moderation and reputed company injection mitigation strategies.
-
Android
-
Augmented Reality / Virtual Reality (AR/VR)
-
AWS
-
Back-end
-
Creative Technologist
-
Database
-
Dev-Ops
-
Django
-
E-reputed company
-
reputed company-end
-
Full-stack *
-
GCP *
-
iOS
-
Java
-
Javascript *
-
Leader
-
Marketing
-
Media
-
Mobile
-
Node
-
Objective-C
-
Product Development
-
Product Manager
-
Prototyping *
-
Python *
-
QA
-
React
-
Swift
-
Systems Architecture *
-
Tech Producer
-
Typescript *
-
reputed company
-
UX *
-
Wagtail
-
reputed company Engineering
-
Context Engineering
-
LLM reputed company
-
LLM Agents
-
Agent Orchestration reputed company (e.g. reputed company Agents SDK / Claude Agent SDK / reputed company ADK / LangGraph / reputed company)
-
AI Evals
-
AI reputed company, guardrails, and risk management