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Vetted Llm inference stacks developer in the United Kingdom (UTC+1)
I'm a Senior Python AI Engineer with over 9 years of experience in designing and developing scalable AI-driven applications. My expertise spans across Python (Django, Flask, DRF, Celery), Machine Learning (PyTorch, Pandas, NumPy)**,** and Cloud Technologies (AWS, Docker, CI/CD, Microservices). I specialize in building intelligent systems, optimizing backend architectures, and implementing Large Language Models (LLMs) like GPT-4, Mistral AI, and Falcon to enhance business solutions. My past projects include AI-based B2B platforms, predictive analytics, and real-time social media analysis, all aimed at improving efficiency and driving business growth. With a strong focus on performance, scalability, and DevOps, I have successfully led high-impact teams and delivered cutting-edge solutions that reduce response times, improve system efficiency, and enhance user experiences. I'm passionate about leveraging AI, automation, and cloud-native solutions to build next-generation applications. Let's connect to discuss how I can bring my expertise to your team!
Vetted Llm inference stacks developer in the United States (UTC-7)
Detail-oriented Engineer with a strong background in software development, hardware integration, and field operations. 5+ years of professional experience as a Research Scientist/Engineer with Michigan Aerospace Corporation developing advanced sensing systems and software solutions for aerospace, environmental monitoring, early-stage disease detection and wildlife conservation. Holding a Bachelor of Science in Engineering Physics - a program blending computer engineering and applied physics coursework - from Kettering University. A motivated self-starter eager to drive positive impact through engineering and science.
Vetted Llm inference stacks developer in the United States (UTC-4)
Senior Full Stack Engineer with * 10+ years experience in Python * 4+ years in PostgreSQL * 2+ years in AWS DevOps * 2+ years in TypeScript (NextJS) * 2+ years in Generative AI Designed and implemented 1. a WhatsApp chatbot, powered by Generative AI, named [Llanai](https://llanai.com/) in Docker hosted by AWS 2. directories using NextJS and Supabase ([HotSpringsList](https://hotspringslist.com/), [UVRating](https://uvrating.com/)) 3. NoCode video editor, [CreateQuizVideo](https://createquiz.video/), using Remotion, NextJS, and Supabase 4. A high traffic language [learning game](https://grake.me/) using white hat SEO tactics Subject matter expertise in integrating LLM & Data Engineering in Full Stack web apps. Also 10 years of startup experience in Biotech & Water Treatment.
Vetted Llm inference stacks developer in Bolivia (UTC-4)
I am a Machine Learning Engineer with experience in developing Machine Learning driven APIs using different backend frameworks and cloud technologies. I have expertise in Python, SQL, Cloud Technologies like AWS or Azure, and backend Frameworks and libraries like Django, FastAPI and Azure Durable Functions.
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.
Remote Llm inference stacks developer in India (UTC-7)
**AI and NLP Researcher with a PhD degree, Seeking Exciting Opportunities. Specializing in Social Computing & Human-Centered AI, Open to Global Opportunities for Advancement. Jobseeker, currently living at the Indian Institute of Technology Patna, India.**
Vetted Llm inference stacks developer in Spain (UTC+2)
I am a senior Full-stack developer with expertise in Typescript, Angular, ReactJS, Python, AWS and lately i've been playing around with Langchain for GenAI applications. Led a startup's MVP development and managed the technological roadmap. Skilled in project coordination and problem-solving. Passionate about innovation and continuous learning.
Vetted Llm inference stacks developer in the Netherlands (UTC+2)
I am a senior full-stack developer with a strong focus on back-end development, data engineering, and machine learning. My experience spans a wide variety of industries and company sizes, including advertising, finance, e-commerce, cybersecurity, and data analytics. I've worked with both large corporations and startups. In addition to my development expertise, I am a trained data scientist and have completed several certified specializations in data science and machine learning. You can find more details about my certifications on my LinkedIn profile. I adhere to clean code principles and am a dedicated practitioner of test-driven development (TDD). You don't have to take my word for it—feel free to explore the samples of my work on my GitHub portfolio: [https://github.com/marciogualtieri/About](https://github.com/marciogualtieri/About) As a lifelong learner, I enjoy expanding my knowledge by building projects. You're welcome to browse through them.
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
Vetted Llm inference stacks developer in India (UTC+6)
Hi, I’m Lovish — a seasoned software developer and tech leader with 9 years of experience collaborating with startups and founders. I specialize in mobile development, AI, data analytics, product strategy, and team building. If you’re looking for a versatile expert who can code, lead, and deliver, let’s connect.
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Ready to hire your ideal Llm inference stacks developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Llm inference stacks developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.