Senior Engineer – AI / Agentic Development (536)
Are you ready to advance your global career in an environment that values its people first? At Ubiminds, a GPTW-certified company, we collaborate with American software product companies to expand their international teams, connecting them with talented individuals from LATAM. We provide comprehensive employer-of-record support and offer opportunities for long-term career growth.
Join our dynamic team focused on AI-driven developer productivity and automation, where we are dedicated to refining the software development lifecycle (SDLC) through agent-based systems and intelligent tooling. You will work alongside senior technical leaders to create and implement AI-powered engineering tools that seamlessly integrate into current development environments to accelerate development processes, enhance code quality, and automate engineering workflows.
Responsibilities
Develop AI-powered developer tools using modern frameworks and Claude-based technologies.
Create intelligent agents and automated workflows to enhance SDLC efficiency.
Design and oversee multi-agent systems through advanced agentic frameworks.
Prototype and iterate proof-of-concept solutions for AI-driven automation.
Integrate AI-powered tools with existing engineering platforms.
Collaborate with senior technical leadership on innovative initiatives and translate strategic ideas into actionable solutions.
Ensure scalability, maintainability, and alignment with engineering best practices in all developed solutions.
Contribute to architecture discussions and assist in the evolution of AI-enabled engineering workflows.
Mandatory Skills
Hands-on experience with Claude tooling, agent-based architectures, and agentic frameworks.
Strong background in backend engineering utilizing .NET and SQL-based systems.
Proficiency in integrating AI-powered systems with existing technology stacks and understanding of SDLC processes and developer tooling.
Well-developed problem-solving and architectural thinking skills with the ability to quickly translate concepts into working solutions.
Exceptional English communication skills.
Nice to Have
Experience building AI-driven developer tools and implementing SDLC automation workflows.
Familiarity with Angular-based frontend environments and designing multi-agent orchestration systems.
Knowledge of emerging AI frameworks and LLM-based systems.
Previous work in innovation-focused engineering teams.
Team & Environment
Engage in a highly collaborative engineering setting that prioritizes innovation.
Work closely with senior technical leadership and product strategy teams.
Access opportunities to explore emerging AI technologies and frameworks.
Thrive in a fast-paced development environment focused on rapid prototyping and iteration.
Contribute directly to the transformation of engineering productivity and workflows through AI integration.
About Ubiminds
Culture
- Commitment to a people-first approach, continuous improvement, problem-solving, teamwork, quality service delivery, honesty, and transparency.
Perks and Benefits
Equal treatment as full-time employees in a product-based company setting.
Comprehensive back-office support, inclusive of career guidance and HR and concierge services.
Work remotely with a distributed team and receive a company-provided MacBook.
Access growth opportunities through tech talks, chapter meetings, and remote social events.
Hiring Process
Initial interview with Tech Recruiter.
Technical Assessment.
Client Interview.
Employment Offer.
Ubiminds may leverage AI tools to enhance parts of the hiring process, supporting recruitment activities with tasks like application review and resume analysis. It is important to note that these tools supplement human judgment and final hiring decisions are made by humans. For more information on data processing, please contact our team.
Full Stack Engineer focusing on Blockchain Technologies
We are looking for a highly capable Full Stack / Blockchain Engineer who can own both SaaS product development and blockchain infrastructure. This is a high-ownership role where you will help shape Worklo PSA and our blockchain payroll architecture from the ground up.
Key Responsibilities
* Build full-stack product features using Next.js, TypeScript, Node.js/Express, Supabase, PostgreSQL, React, shadcn/ui, and Tailwind CSS
* Design secure APIs, database schemas, authentication flows, and Supabase RLS policies
* Develop Solidity smart contracts for salary calculation and automated payroll distribution
* Build blockchain integrations for wallet registry, MetaMask/WalletConnect, payroll execution, and event syncing
* Deploy and manage smart contracts on Polygon or other EVM-compatible networks
* Implement dashboards for payroll visibility, wallet management, and transaction history
* Write tests for smart contracts using Hardhat, Foundry, or similar tools
* Improve performance, security, observability, and overall system architecture
Requirements
* 5+ years of full-stack software development experience
* 5+ years of blockchain development experience with deployed smart contracts
* Strong skills in TypeScript, Node.js, React, Next.js, PostgreSQL, and REST APIs
* Strong Solidity knowledge, including access control, reentrancy protection, gas optimization, and upgradeability
* Experience with ethers.js, viem, ERC-20 tokens, stablecoins, and EVM-compatible networks
* Ability to work independently in a remote-first, async startup environment
Nice to Have
* Experience with Supabase, Next.js App Router, React Server Components, Foundry, Hardhat, OpenZeppelin, The Graph, DeFi systems, multi-sig wallets, or multi-tenant SaaS platforms
Senior Blockchain Engineer - Low-Latency Execution Infrastructure (HyperEVM / Hyperliquid)
we’re looking for a senior blockchain engineer to build low-latency execution infrastructure around hyperevm and hyperliquid-related trading systems.
this is not a frontend or dapp role. the focus is on real-time execution systems, chain-native infrastructure, and market-aware backend engineering where latency, ordering, and state correctness directly impact execution outcomes.
you will work on systems that operate under noisy, adversarial, and highly dynamic conditions, including delayed or missing websocket events, rpc inconsistencies, transaction lifecycle complexity, state desynchronization, retries, and recovery logic.
core responsibilities include building and maintaining realtime blockchain data pipelines, websocket and rpc streaming systems, execution orchestration layers, liquidity-aware routing logic, transaction lifecycle management, and integration with orderbook and market data systems.
we are specifically looking for engineers who think in systems rather than features. meaning understanding how data flows through pipelines, how state evolves over time, how failures propagate, and how to design systems that recover automatically without manual intervention.
areas of work include:
- realtime blockchain data ingestion
- mempool-aware execution flows
- transaction lifecycle handling
- execution sequencing and routing
- websocket and rpc infrastructure
- state synchronization systems
- liquidity and orderbook integration
- performance and latency optimization
you should be comfortable working with distributed systems, asynchronous event processing, and latency-sensitive backend architectures.
strong experience in one or more of the following areas is highly relevant:
- exchange infrastructure
- trading systems
- execution engines
- blockchain indexers
- realtime event systems
- arbitrage systems
- rpc/node infrastructure
- defi backend systems
- low-latency backend engineering
preferred technical stack:
- typescript / node.js
- go
- rust
- python
- postgres
- clickhouse
- redis
- kafka or similar messaging systems
- docker
- linux environments
- evm rpc internals
- websocket infrastructure
ecosystem familiarity:
- ethereum, arbitrum, base, optimism, bsc
- hyperliquid / hyperevm
- foundry
- ethers.js / viem
- geth / erigon / nethermind
- dex and amm mechanics
- liquidity math, slippage, gas strategy, routing logic
this role is not suitable for:
- frontend-only developers
- nft or basic dapp experience only
- tutorial-level web3 developers
- candidates without production systems experience
we value engineers who have built real systems where correctness, latency, and reliability matter under load. we care less about buzzwords and more about concrete systems you have personally built and operated.
ideal candidates can clearly explain:
- system architecture decisions
- bottlenecks and tradeoffs
- failure modes and recovery strategies
- latency considerations in real systems
- production debugging experience
working style:
- remote
- async-first
- low bureaucracy
- high ownership
- engineering-driven team
- direct technical communication
we strongly prefer practical engineering depth over polished presentation. if you have built or worked on systems involving realtime data, trading infrastructure, blockchain execution, or latency-sensitive backend systems, please include details of those systems when applying.
Senior Rust Developer
We're looking for a Senior Rust Developer to join our core engineering team and own the systems that sit closest to the market. This means low-latency order execution engines, high-throughput market data pipelines, real-time streaming infrastructure, and integrations with both centralized and decentralized exchanges. Every millisecond and every line of code matters here, and you'll be the person making sure it all holds up under pressure. This is not a role for someone who wants to write Rust adjacent to trading. You'll be building the backbone of live production systems where correctness, safety, and raw performance have direct P&L consequences. You'll work alongside quantitative researchers and other engineers to implement and deploy strategies, and you'll have meaningful input into the infrastructure decisions that shape how we build and scale. If you've spent years pushing Rust to its limits in high-performance environments and you want that work to matter in real markets in real time, this is the role.
Responsibilities
Design, build, and maintain high-throughput, low-latency trading systems in Rust
Develop and optimize order execution engines, market data feeds, and real-time processing pipelines
Build reliable integrations with centralized and decentralized exchanges across CEX and DEX environments
Architect systems for real-time streaming data and WebSocket communication at scale
Write safe, well-tested concurrent code leveraging async runtimes including Tokio and async-std
Collaborate with quantitative researchers to implement and deploy trading strategies into production
Profile, benchmark, and eliminate performance bottlenecks across critical system paths
Contribute to infrastructure decisions around deployment, observability, and fault tolerance
Requirements
5+ years of professional software engineering experience
2+ years building and maintaining production systems in Rust, and you will be tested on it
Deep command of Rust's ownership model, lifetimes, traits, and async patterns
Experience with high-performance networking including TCP/UDP, WebSockets, and gRPC
Strong understanding of concurrency primitives and lock-free data structures
Familiarity with financial systems, trading platforms, or real-time data pipelines
Linux systems programming and performance tuning experience
Comfortable working independently in a fast-paced, remote-first environment
Nice to Have
Experience with cryptocurrency exchanges, DeFi protocols, or blockchain RPC nodes
Knowledge of FIX protocol or other financial messaging standards
Open-source Rust contributions
Experience with FPGA or kernel-bypass networking such as DPDK or io_uring
Familiarity with quantitative trading concepts including order books and market microstructure
Infrastructure experience with Docker, Kubernetes, Terraform, or Prometheus/Grafana
Senior Software Engineer
Quantitative Researcher
Responsibilities
Develop, backtest, and continuously improve quantitative trading models and algorithms, translating mathematical insights into production-ready code
Collaborate with trading and development teams to refine existing strategies and build new ones with a direct focus on P&L impact
Work through large and complex datasets to identify patterns, validate hypotheses, and stress-test models against real market conditions
Conceptualize valuation frameworks, improve mathematical models, and maintain strategy performance in live environments
Conduct ongoing statistical research into crypto market microstructure and price dynamics using both conventional and unconventional data sources
Requirements
Advanced degree in mathematics, statistics, physics, computer science, or a related quantitative field
Strong proficiency in probability and statistics, including time-series analysis, machine learning, and pattern recognition applied to financial data
Hands-on programming experience in Python, with familiarity in R or MATLAB and ideally some exposure to compiled languages like C++
Prior experience in crypto markets, digital asset trading, or algorithmic finance
Proven ability to work in a data-driven research environment with minimal direction
Rigorous, evidence-based approach to problem-solving with the ability to move quickly from hypothesis to testable implementation