Senior Backend / AI Engineer (Autonomous Agents and Swarm Intelligence)
$$$$
We are an innovative AI tech lab building next-generation infrastructure for fully autonomous AI systems. We are currently scaling two core bleeding-edge products:
- An Autonomous Agent Framework: A highly autonomous, "configure-once, forget-forever" agent platform that runs complex workflows, manages its own skills, self-corrects outputs, and operates without traditional approval loops or babysitting.
- An Intelligence Engine: A massive-scale simulation platform capable of spawning hundreds of grounded AI agents within minutes to simulate real-world behavior, interact across social platforms (Twitter, Reddit), trade on prediction markets, and generate comprehensive counterfactual analysis reports.
We are looking for a Senior Backend Developer who is passionate about LLMs, multi-agent orchestrations, graph databases, and building autonomous workflows that operate seamlessly 24/7.
Core Responsibilities
- Architect Agent Lifecycles: Design, extend, and optimize the backend core responsible for autonomous agent task execution, state management, and memory retention.
- Scale Swarm Simulations: Improve the performance of multi-agent simulation environments, ensuring concurrent execution of hundreds of agents making API calls, processing text, and updating states in real time.
- Expand the Skills Library: Develop and integrate new "skills" and MCP (Model Context Protocol) tools for agents (e.g., automated code/PR reviews, web searching, live market monitoring, API integrations).
- Self-Healing & Quality Loops: Enhance automated fallback mechanisms, error handling, and self-patching algorithms where AI models evaluate their own outputs and fix failing tasks without human intervention.
- Data & Graph Modeling: Optimize data storage, retrieval, and relational modeling for agent memories, social graphs, and prediction market consensus.
Technical Requirements & Stack
- Languages: Deep proficiency in Python and Node.js/TypeScript (strong backend fundamentals are non-negotiable).
- AI & LLM Integration: Practical experience working with LLM APIs (OpenAI, Anthropic Claude, Ollama) and vector embeddings. Understanding of prompt chaining and structured outputs.
- Databases: Solid experience with Graph Databases (e.g., Neo4j) as well as relational or NoSQL solutions.
- Automation & CI/CD: Strong knowledge of GitHub Actions (used as a runtime framework), workflow dispatches, and containerization (Docker).
- Integrations: Experience building and consuming webhooks, REST APIs, and integrating with third-party platforms (Discord, Slack, Twitter/X, Reddit, or financial data feeds).
- Architecture: Familiarity with event-driven architectures, parallel/sequential task processing, and file-based state logging (Markdown/JSON).
Nice to Have
- Experience or strong interest in Web3, DeFi, and Prediction Markets (Polymarket, Base network ecosystem, tokenomics).
- Open-source contributions or a history of building custom AI tools/bots.
- Familiarity with local LLM deployment and inference optimization.
What We Offer
- 100% Remote & Flexible: Work from anywhere with asynchronous-friendly communication.
- Cutting-Edge Tech: No legacy enterprise maintenance. You will be shipping code to production for autonomous systems from day one.
- High Autonomy: Just like our agents, we value builders who donβt need micro-management and can own features end-to-end.
- Medical Insurance in Ukraine and Multisport program in Poland.
- Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
- Paid vacation, sick leaves, and official holidays.
- Legal & Accounting services.
- The company provides all necessary equipment.
- English classes and Education reimbursement.
Required languages
| English | B2 - Upper Intermediate |
| Ukrainian | Native |
Python, Deep Learning, LLM, AI, RAG, Generative AI, FastAPI, Node.js
Published 20 May
78 views
Β·
18 applications
Last responded 1 week ago
See stats of candidates who applied for this job π
π
$4500-7000
Average salary range of similar jobs in
analytics β
Loading...