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Vetted Llm building and deployment developer in Brazil (UTC-3)
Hey! I'm William, a Software Engineer specializing in Quality Assurance and Test Automation. With over 11 years of expertise, I'm a certified Tester in Advanced Level (CTAL-TA) certification from ISTQB. 💡 I'm passionate about delivering high-quality results and building strong relationships with team members and stakeholders. Throughout my career, I have built enduring client relationships based on trust and consistently received glowing feedback for my work. 💎 Skills and Expertise: \- Programming Languages: Python, JavaScript/TypeScript, Swift. \- CI/CD Tools: Jenkins, AWS, Gitlab, CircleCI, Docker, Travis, S3. \- Frameworks: Cypress, WebdriverIO, Selenium, Puppeteer, TestCafe, Robot Framework. \- Mobile Testing: Appium, Detox, UIAutomator, Espresso, XCTest, XCUITest. \- Unit Testing: React Testing Library, Mocha, ChaiJs, Jest, Enzyme, JUnit, SuperTest, PyUnit. \- Tools: Cucumber, SauceLabs, BrowserStack, Postman, Gherkin scripts. 🏆 Noteworthy Achievements: \- Developed a comprehensive regression suite for a frontend team in London, using Cypress, WebdriverIO, Docker, and Jenkins. \- Created an extensive regression suite for frontend and backend teams at a London-based company, employing Cypress, Docker, and AWS. \- Implemented a robust regression suite for a US-based company, leveraging Cypress, WebdriverIO, and GitHub actions. Trained their QA team to become Automation Engineers. \- Built a thorough regression suite for a frontend team at a US-based company, utilizing Cypress, Docker, and CircleCI. \- Developed a regression suite for a frontend team, using Cypress, Docker, and Azure DevOps. Provided training to their team in Switzerland. \- Implemented a Python-based Automation project covering API, UI, SAP, ERP, and Warehouses Logistic Center applications using Robot Framework and Jenkins. Reduced manual regression execution time by 70% and supported over 30 function QAs. \- Defined a QA Roadmap for quality engineers and Business Analysts, supporting 40 Quality Analysts and 20 Test Automation Engineers across four global teams. \- Conducted technical interviews for QA positions, assessing candidates' skills in Quality Assurance, Agile Methodologies, Coding, and DevOps.
Vetted Llm building and deployment developer in Brazil (UTC-3)
I am a seasoned Software Engineer with 7 years of diverse experience across Fintech, AI, B2B, Mobility, and Social Media integration domains. Proficient in leveraging a wide array of technologies such as Python, Django, Node.js, & Golang, combined with a knack for strategic problem-solving and leadership. Enthusiastic about embracing fresh obstacles and consistently open to novel opportunities. Recognized for strong communication skills and armed with a degree in Computer Science. Eager to contribute and excel in dynamic tech landscapes.
Uber
Vetted Llm building and deployment developer in Brazil (UTC-3)
Full Stack Developer • FE, BE, DevOps Engineer Senior Hello, my name is Thiago! » GitHub ................................ https://lnkd.in/dPUN55RK Programming Languages ▕ Strong: Python, Javascript, TypeScript ▕ Advanced: Golang (Go), Java Frontend ▕ Js: Redux, React ▕ Ts: Next.js, Nest.js ▕ Styling: CSS, SCSS, SASS, Tailwind CSS Backend ▕ Relational Databases: SQL, MySQL, PostgreSQL, Prisma ▕ NoSQL: Cassandra, MongoDB, Redis, Memcached, Vector Database, Pinecone ▕ Graphs Algorithms, Databases: Neo4j ▕ Misc: Workflows, kubeflow, Apache Airflow, Temporal ▕ Py Frameworks: REST API: Flask, Django, DRF, FastAPI, Streamlit ▕ Js Frameworks: Node.js, Express, GraphQL, Apollo, Vite Testing ▕ Automated Testing, Unit, Integration and e2e Test. ▕ Python (pytest, unittest); JavaScript/TypeScript (Jest, ts-jest, Mocha, Chai, Supertest) ▕ FrontEnd: React Testing Library, Enzyme and Cypress DevOps ▕ DevOps, CI/CD and GitOps ▕ Docker, Kubernetes, Helm, ArgoCD, Istio, Prometheus, Grafana, Nginx ▕ Jenkins, Ansible, Github Actions, Terraform, HDL ▕ Elastic Stack (ELK) : Elasticsearch, Kibana, Logstash, Fluentd AWS ▕ AWS EC2, ECS, S3, EKS, Fargate, RDS, SQS, SQN, Lambda and Serverless ▕ AI Platform, DynamoDB, Frameworks, Services ▕ ML - Machine Learning: Sagemaker, Architecture, Pipelines, Model Training, Testing, Deployment, Serving and Monitoring Other cloud computing ▕ Google Cloud (GCP), Microsoft Azure - x - Web Design ▕ Web Design: UX, UI, Figma, MUI, Material UI Mobile ▕ React Native Algorithms and System Design ▕ Microservices, Event-Driven Architecture, SOAP, Websockets, Streaming and RESTful API’s ▕ Sorting (QuickSort, MergeSort), Searching (Binary Search, DFS, BFS), Graph (Dijkstra’s, A), Dynamic Programming, Hashing, Greedy, Divide and Conquer, Backtracking, etc - x - Artificial Intelligence (AI) ▕ Classic Algorithms, Deep Learning, Transformers ▕ TensorFlow, Pytorch, NLP ▕ Computer Vision, Recommender Systems Generative AI (GenAI) ▕ LLM, LLMOps, Langchain, AWS Bedrock ▕ AI Agents, Multi-Agent and AgentOps ▕ LangGraph, CrewAI, AutoGen, LangSmith
Microsoft
Vetted Llm building and deployment developer in Brazil (UTC-3)
I'm a Senior Full Stack Engineer who loves turning ideas into real-world applications. Over the past six years, I've been designing, building, and deploying robust solutions across the entire tech stack. Whether it's working with Node.js, NestJS, React, TypeScript, Python, or managing AWS services, I leverage every step from concept to production. My skills span Cloud Architecture, Solution Design, UI/UX, and Full-Stack Development. I focus on creating scalable, high-performing applications with the user in mind. I've had the opportunity to lead cross-functional teams, mentor junior developers, and explore the latest in Generative AI and modern LLM techniques to optimize solutions. Programming has been my passion for over a decade. I bring both technical expertise and strategic insight to every project I take on. I'm dedicated to transforming business needs into creative and impactful solutions that deliver real value.
Oracle
Vetted Llm building and deployment developer in Brazil (UTC-3)
Hello, my name is Thiago! +8 years Full Stack developer. Programming Languages ▕ Strong: Python, Javascript, TypeScript ▕ Advanced: Golang (Go), Java Frontend ▕ Js: Redux, React ▕ Ts: Next.js, Nest.js ▕ Styling: CSS, SCSS, SASS, Tailwind CSS Backend ▕ Relational Databases: SQL, MySQL, PostgreSQL, Prisma ▕ NoSQL: Cassandra, MongoDB, Redis, Memcached, Vector Database, Pinecone ▕ Graphs Algorithms, Databases: Neo4j ▕ Misc: Workflows, Apache Airflow, Temporal ▕ Py Frameworks: REST API: Flask, Django, DRF, FastAPI, Streamlit ▕ Js Frameworks: Node.js, Express, GraphQL, Apollo, Vite Testing ▕ Automated Testing, Unit, Integration and e2e Test. ▕ Python (pytest, unittest); JavaScript/TypeScript (Jest, ts-jest, Mocha, Chai, Supertest) ▕ FrontEnd: React Testing Library, Enzyme and Cypress DevOps ▕ DevOps, CI/CD and GitOps ▕ Docker, Kubernetes, Helm, ArgoCD, Istio, Prometheus, Grafana, Nginx ▕ Jenkins, Ansible, Github Actions, Terraform, HDL ▕ Elastic Stack (ELK) : Elasticsearch, Kibana, Logstash, Fluentd AWS ▕ AWS EC2, ECS, S3, EKS, Fargate, RDS, SQS, SQN, Lambda and Serverless ▕ AI Platform, DynamoDB, Frameworks, Services ▕ ML - Machine Learning: Sagemaker, Architecture, Pipelines, Model Training, Testing, Deployment, Serving and Monitoring Other cloud computing ▕ Google Cloud (GCP), Microsoft Azure \- x - Web Design ▕ Web Design: UX, UI, Figma, MUI, Material UI Mobile ▕ React Native Algorithms and System Design ▕ Microservices, Event-Driven Architecture, SOAP, Websockets, Streaming and RESTful API’s ▕ Sorting (QuickSort, MergeSort), Searching (Binary Search, DFS, BFS), Graph (Dijkstra’s, A), Dynamic Programming, Hashing, Greedy, Divide and Conquer, Backtracking, etc \- x - Artificial Intelligence (AI) ▕ Classic Algorithms, Deep Learning, Transformers ▕ Numpy, Pandas, Scikit-Learn, TensorFlow, Pytorch ▕ NLP, Computer Vision, Recommender Systems ▕ Generative AI (GenAI): LLM, LLMOps, Langchain
Microsoft
Vetted Llm building and deployment developer in Brazil (UTC-3)
I am a Software Engineer with experience in MLOps, software architecture, and backend development. Skilled in Python, Javascript, Kotlin, Cloud services, CI/CD, and project management. Previous roles include IBM, Zoop and Itaú. I've been studying Go, Rust, network and self-hosting.
IBM
Vetted Llm building and deployment developer in Brazil (UTC-3)
Helping exceptional companies to improve their quality.
Amazon
Vetted Llm building and deployment developer in Brazil (UTC-3)
I’m passionate about understanding and solving complex problems, and this motivation guides my career to enter the field of Machine Learning, as a Staff AI Engineer I was able to deliver value for many companies in challenge projects involving Generative AI and “traditional” Machine Learning. I have almost a decade of experience in the field, part of which was dedicated to natural language processing projects. Especially in 2024 I successfully deployed complex agentic workflows and RAG systems for a variety of industries. I am also a pragmatic person, with a strong sense of belonging to a group. I worked with a wide range of technologies so I will highlight the most relevant to my current focus: Python, GCP, Azure, MLOPS, LLMOPS, Langgraph, Langchain, llama-index, Dspy, agentic workflows, Inference frameworks for LLMs and Machine Learning, Kubernetes for machine learning workloads, cuda optimization
Vetted Llm building and deployment developer in Brazil (UTC-3)
A professional with a Master’s degree in Data Science and Machine Learning, bringing over 6 years of experience in back-end development, Machine Learning and AI engineering. Skilled in leveraging Deep Learning, NLP (Natural Language Processing), and LLMs (OpenAI, Google Gemini, Llama) with tools like Python, PyTorch, and TensorFlow. Proficient in DevOps tools such as Docker, GitLab, and Kubernetes as well as in cloud platforms, including GCP (Google Cloud) and AWS. My primary expertise lies in Data Science and Machine Learning, particularly in processing unstructured data from legal documents. As a dedicated professional in the technology field, I am continuously learning and believe this commitment enhances my ability to bring meaningful value to teams.
Vetted Llm building and deployment developer in Brazil (UTC-3)
Full Stack Developer focused in Frontend engineering with 5+ years of extensive experience in translating my client's imagination into modern and intuitive user interfaces, being them aimed for mobile or web apps. I leverrage the use of technologies such as ReactJS, NodeJS, React Native and their frameworks, popular languages such as Python and Typescript, Cloud Computing of different providers and AI, focusing on efficient and intelligent deliveries that drive my clients success I seek those who believe in the potential of data-driven decisions. I have an affinity for collaborative work environment with cross-functional teams, always keeping myself updated on the best practices and market trends. Let's Talk!
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FAQs
Why hire a Llm building and deployment developer?
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Llm building and deployment developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Llm building and deployment developers can help keep your website up-to-date.
How do I hire Llm building and deployment developers?
To hire a Llm building and deployment developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Llm building and deployment developers effectively and efficiently. Hire full-time Llm building and deployment developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Llm building and deployment developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Llm building and deployment developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Llm building and deployment developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Llm building and deployment developers?
There are two types of platforms you can hire Llm building and deployment developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Llm building and deployment developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Llm building and deployment developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm building and deployment developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm building and deployment developers.
Some factors to consider when you hire Llm building and deployment developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Llm building and deployment developers for hire.
How do I write a Llm building and deployment developer job description?
Writing a good Llm building and deployment developer job description is crucial in helping you hire Llm building and deployment developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Llm building and deployment developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Llm building and deployment developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Llm building and deployment developer?
The top five technical skills Llm building and deployment developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Llm building and deployment developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Llm building and deployment developers to keep up with evolving technology and requirements.
What kinds of Llm building and deployment developers are available for hire through Arc?
You can find a variety of Llm building and deployment developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Llm building and deployment developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm building and deployment developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Llm building and deployment developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Llm building and deployment developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Llm building and deployment developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Llm building and deployment developers.
Every Llm building and deployment developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Llm building and deployment developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
How does Arc vet a Llm building and deployment developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Llm building and deployment developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Llm building and deployment developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Llm building and deployment developers, you can rest assured that all remote Llm building and deployment developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Llm building and deployment developers on Arc?
Arc pre-screens all of our remote Llm building and deployment developers before we present them to you. As such, all the remote Llm building and deployment developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Llm building and deployment developer in 72 hours, or find a full-time Llm building and deployment developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Llm building and deployment developers.
How much does a freelance Llm building and deployment developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Llm building and deployment developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm building and deployment developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Llm building and deployment developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
How much does it cost to hire a full time Llm building and deployment developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Llm building and deployment developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Llm building and deployment developers, check out our FAQs page.