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Remote Llm Inference Stacks Developers
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784 Remote Llm inference stacks developers and experts available to hire:

Remote Llm inference stacks engineer - Diego S.
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Diego S.

Vetted Llm inference stacks 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 for mobile or web apps. I leverrage the use of technologies such as ReactJS as related frameworks, NodeJS, React Native and popular languages such as Python and it's frameworks. Experienced in Cloud Computing and cloud architecture from different providers, focusing on efficient and intelligent deliveries that drive my clients success. In the past years I've dedicated quite some time to the academic research on LLM, VLM and digital sovereignty. I seek those who believe in the potential of data-driven decisions and well structured governance. I have an affinity for collaborative work environments with cross-functional teams and authonomy, always keeping myself updated on the best practices and market trends. Let's Talk!

Llm inference stacks developers developer - Diego S.'s portfolio image
Llm inference stacks developers developer - Diego S.'s portfolio image
Remote Llm inference stacks coder - Uild S.
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Uild S.

Vetted Llm inference stacks developer in Brazil (UTC-3)

Sou um profissional de TI que atua com Desenvolvimento de software. Tenho conhecimento avançado em Python e experiência com os frameworks Django, Flask, e FastApi, assim como POO e TDD. Além de Python, também tenho experiência com JavaScript, na parte de frontend, utilizando puro JavaScript ou o framework React, e no backend utilizando Node.

Remote Llm inference stacks architect - Aurélien G.
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Aurélien G.

Vetted Llm inference stacks developer in Brazil (UTC-3)

Sr. Full Stack | Front End | Back End | Mobile Engineer As an accomplished Senior Full Stack Engineer with over 11 years of experience developing Javascript web applications including 8 years in full remote, my mission is to leverage my vast expertise and proficiency to design and implement innovative software solutions that exceed client expectations. I am committed to continuously enhancing my skillset and staying abreast of emerging industry advancements and trends. Through effective collaboration with multifaceted teams, I aim to provide superior customer experiences and consistently deliver high-quality deliverables within defined timelines and budgetary constraints. I have a strong background working with Node.js, Typescript, ReactJS, React Native, and much more JavaScript frameworks. I am also familiar with SQL, NoSQL, GraphQL and cloud environnements like AWS, GCP. I am a very flexible engineer that is passionate about AI, ML, blockchain and new techs and I am looking for a full remote contract position.

Llm inference stacks developers developer - Aurélien G.'s portfolio image
Llm inference stacks developers developer - Aurélien G.'s portfolio image
Llm inference stacks developers developer - Aurélien G.'s portfolio image
Llm inference stacks developers developer - Aurélien G.'s portfolio image
Llm inference stacks developers developer - Aurélien G.'s portfolio image
Remote Llm inference stacks consultant - Thiago M.
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Thiago M.

Vetted Llm inference stacks 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

Remote Llm inference stacks engineer - Gilberto R.
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Gilberto R.

Vetted Llm inference stacks developer in Brazil (UTC-3)

As a Senior Software Engineer with over a decade of professional experience, I specialize in creating scalable, high-performance platforms that drive business success. My expertise spans full-stack development, system design, cloud integration, and database management, all executed with a commitment to innovation and problem-solving. Key Achievements: \-> Spearheaded the development of a project ingestion feature that streamlined client communication, reducing mismatches by over 30%, ensuring faster project initiation and completion. \-> Integrated a decade's worth of research into an easily navigable insights library, improving knowledge accessibility for stakeholders by 40%. \-> Coordinated the onboarding and management of a third-party outsourcing team, accelerating feature delivery timelines. \-> Designed a codeless SaaS QA platform that automated mobile testing, reducing testing time and enhancing reliability across app versions. \-> Throughout my career, I have embraced emerging technologies like Generative AI for automation and adopted future-proof strategies to ensure platform stability and responsiveness. At Wonder, I lead initiatives that leverage generative AI for delivering client-centric solutions. Core Competencies: \-> Full-Stack Development (ReactJS, Ruby on Rails, PostgreSQL) \-> Cloud Solutions (AWS, Heroku) \-> Software Quality Assurance and Automation \-> Collaborative System Design and Future-Ready Architecture Beyond technical skills, I excel in cross-functional collaboration, aligning diverse stakeholders to deliver impactful results. Passionate about crafting systems that exceed expectations, I am driven by a vision to innovate and elevate the digital experience for users worldwide.

Remote Llm inference stacks programmer - William S.
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William S.

Vetted Llm inference stacks developer in Brazil (UTC-3)

A Full Stack Data Scientist with five years of experience in software and web development, data processing, and machine learning. An excellent problem solver with a deep understanding of statistics, programming, and electronic systems. I would like to help others make a data-driven decision and develop big impact solutions for the company.

Remote Llm inference stacks developer - TIAGO P.
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TIAGO P.

Vetted Llm inference stacks developer in Brazil (UTC-3)

Data Scientist with a strong background in systems analysis and development, complemented by a postgraduate degree in Artificial Intelligence applied to industry. Over the years, I have transitioned from front-end and full-stack development to specializing in data science, machine learning, and AI. My expertise spans across computer vision, natural language processing (NLP), and large-scale data analytics, with hands-on experience in Python, PySpark, SQL, and cloud platforms like AWS and Azure. I have a proven track record of delivering innovative AI solutions, from developing predictive models and optimizing machine learning pipelines to deploying scalable AI systems in production. My career is driven by a passion for solving complex business challenges through data-driven insights and cutting-edge AI technologies. I aspire to continue pushing the boundaries of AI, contributing to impactful projects that leverage machine learning and deep learning to drive business growth and innovation.

Remote Llm inference stacks programmer - Henrique G.
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Henrique G.

Vetted Llm inference stacks 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.

Remote Llm inference stacks architect - Irineu B.
Irineu B.

Remote Llm inference stacks developer in Brazil (UTC-4)

Fullstack Developer with 3+ years of experience building scalable web applications for national and international companies. Proficient in modern technologies like Angular, React, Node.js, NestJS, and Python. Recently involved in AI/LLM-based projects and cloud infrastructure (AWS, GCP). I thrive in remote, agile environments and aim to contribute to impactful tech products while continuously growing as a developer.

Remote Llm inference stacks engineer - Gustavo C.
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Gustavo C.

Vetted Llm inference stacks developer in Brazil (UTC-3)

Quick self-learner full-stack developer moved by challenges that likes to make people’s lives easier by writing code. Give him a challenge and he will find a way to make it work.

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Why clients hire Llm inference stacks developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Llm inference stacks 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 inference stacks 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 inference stacks developers can help keep your website up-to-date.

How do I hire Llm inference stacks developers?

To hire a Llm inference stacks 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 inference stacks developers effectively and efficiently. Hire full-time Llm inference stacks 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 inference stacks 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 inference stacks 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 inference stacks developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Llm inference stacks developers?

There are two types of platforms you can hire Llm inference stacks 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 inference stacks 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 inference stacks developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm inference stacks developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm inference stacks developers.

Some factors to consider when you hire Llm inference stacks 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 inference stacks developers for hire.

How do I write a Llm inference stacks developer job description?

Writing a good Llm inference stacks developer job description is crucial in helping you hire Llm inference stacks 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 inference stacks 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 inference stacks developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Llm inference stacks developer?

The top five technical skills Llm inference stacks 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 inference stacks 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 inference stacks developers to keep up with evolving technology and requirements.

What kinds of Llm inference stacks developers are available for hire through Arc?

You can find a variety of Llm inference stacks 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 inference stacks developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm inference stacks 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 inference stacks 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 inference stacks developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Llm inference stacks 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 inference stacks developers.

Every Llm inference stacks 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 inference stacks 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 inference stacks developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Llm inference stacks 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 inference stacks 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 inference stacks developers, you can rest assured that all remote Llm inference stacks 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 inference stacks developers on Arc?

Arc pre-screens all of our remote Llm inference stacks developers before we present them to you. As such, all the remote Llm inference stacks 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 inference stacks developer in 72 hours, or find a full-time Llm inference stacks 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 inference stacks developers.

How much does a freelance Llm inference stacks developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Llm inference stacks developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm inference stacks 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 inference stacks 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 inference stacks 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 inference stacks 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 inference stacks developers, check out our FAQs page.

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