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Timofey Murashov
$40/hr or $80,000/yr

Active 1 hour ago


Member since Oct 2026

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Senior AI Engineer

Artificial Intelligence Engineer
Available for hire
Years of experience
5+ years
Experience level
Senior
Available for
Full-time, Contract, Freelance
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I’m a hands-on Team Lead and AI Engineer with 5+ years of experience building production software across AI products, SaaS, and backend platforms. I’ve helped turn prototypes into deployable products, built AI agents and RAG systems, and delivered infrastructure for AI monetization, application deployment, and faster product launches.

I combine technical leadership with hands-on engineering. I turn ambiguous requirements into architecture, clear ownership, and actionable tasks, aligning backend, frontend, QA, and product stakeholders around delivery. My experience includes leading a cross-functional team, hiring, and guiding architecture decisions while continuing to write production code.

At Ardor, I helped align engineers around a new platform architecture and deliver its first usable rebuilt version in roughly one month, enabling users to deploy their own applications. I built platform-integrated AI agents, MCP tools, and retrieval over product documentation and project context, alongside usage-based billing for AI tokens and infrastructure.

At RocketDAO, I led a team while building core backend services and AI content workflows. I designed a configurable generation engine that enabled the team to launch five challenges(workflows) in a single day. I also improved backend performance by up to 2× through PostgreSQL query and index optimization, asynchronous queries, and Redis caching.

I continue developing my expertise through hands-on work and R&D in agent orchestration, multi-agent systems, context engineering, and LLM evaluation. I work with LangGraph, LangChain, Google ADK, pgvector, Langfuse, and AWS Bedrock, focusing on practical trade-offs between quality, latency, token cost, and production reliability.

E-mail: [email protected] Phone number: +7 (778) 951 9732.

Employment History

Senior AI Engineer/Team Lead at Ardor Current 2025 - Now
After joining the team, I identified major communication issues among outstaff engineers. I took ownership of coordination, resolving within a week problems that had remained open for over a month. I centralized communication around task workflows, improving transparency and collaboration. As a feature owner, I managed the full delivery lifecycle: requirements gathering, task distribution, code reviews, testing, releases, and technical mentoring while actively contributing to implementation. - Built platform-integrated AI agents with LangGraph, LangChain, and MCP tools. Developed tool-calling workflows, structured tool responses, and context compaction for reliable multi-step execution. - Developed RAG over product documentation and project-specific context using embeddings and pgvector. Applied workspace metadata filters and assembled compact, task-relevant context for the agent. - Used Langfuse and LLM evaluations to inspect agent and retrieval behavior, track quality, latency, and token cost, and guide improvements to prompts and workflows. - Integrated LLM providers through LiteLLM and AWS Bedrock. Explored cyclic and multi-agent workflows and assessed delegation and reliability trade-offs. - Built usage-based multi model AI events based billing events, including token metering, daily and weekly limits, balances, and overage. Supported production monetization of agent workflows.
Senior Backend Developer at Mitgo 2024 - 2024
- Improved application performance by 10% through SQL query optimization. - Delivered a regulated domain-zone release despite complex subdomain routing constraints, coordinating technical trade-offs with product and engineering leads.
Middle/Senior Backend Developer at ROCKETDAO OU 2022 - 2023
- Built a JSON-configurable AI Stories engine with shared flow state, Jinja templates, dynamic API calls, and ChatGPT and image-generation integrations; reusable templates enabled five challenges to launch in one day. - Used structured LLM outputs as workflow data to drive branching, populate later prompts and API calls, and personalize generated content from user input. - Improved backend performance by up to 2x through PostgreSQL query and index optimization, asynchronous queries, and Redis caching.
Junior Backend Developer at vitaminydlyavzroslykh.ru 2021 - 2022
- Migrated users and subscriptions from a legacy platform for a product launch, building a BeautifulSoup-based extraction workflow where no export was available.

Education

No education history.