process engineer

ai engineer ii (remote)

design engineer

field service engineer

forward-deployed engineer

ai engineer

Ruby Labs

<div><h1 class="jobSectionHeader">About us</h1>
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/<h1 class="jobSectionHeader">
About the role</h1>
At RubyLabs, we&rsquo;re seeking a senior AI Engineer (Node.js / Next.js / TypeScript) to shape our AI infrastructure and drive production-ready LLM experiences. You&rsquo;ll work in a modern stack, making data-driven decisions around model performance, reliability, and cost.
You&rsquo;ll own advanced prompt systems, structured outputs, and complex LLM workflows using LangChain or LlamaIndex. Observability, debugging, and evaluation are core to the role, leveraging Langfuse and AI gateways like OpenRouter to continuously improve model quality and operational efficiency. You&rsquo;ll take full ownership of key AI features from experimentation to live production.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Advanced Prompt Engineering: Designing complex, dynamic prompt templates with conditional logic and efficiently reusing information and context within prompts to maximize generation quality and reasoning.</li><li>
Structured Outputs &amp; Schemas: Implementing various response schemes (JSON mode, function calling, Zod/JSON schemas) to ensure AI outputs are predictable and ready for seamless integration into application logic.</li><li>
Prompt Engineering &amp; Evaluations: Building robust evaluation pipelines and using Langfuse to collect feedback and score the quality of responses in real time.</li><li>
Tracing &amp; Debugging: Performing deep debugging of complex LLM chains using Langfuse traces to identify bottlenecks and optimize for cost, latency, and context window usage.</li><li>
AI A/B Testing: Running systematic experiments across different models via OpenRouter (e.g., comparing Claude 3.5 Sonnet vs. GPT-4o) and analyzing results based on quantitative metrics.</li><li>
Data-Driven Decisions: Making deployment decisions for new prompts or models strictly based on quantitative benchmarks and trace data, rather than intuition.</li><li>
Output Scoring &amp; Analysis: Developing scoring systems to analyze the &ldquo;Problem Solution&rdquo; chain and identify root causes of hallucinations or logic errors using Langfuse analytics.</li><li>
Model Performance &amp; Fine-Tuning: Regularly re-evaluating model performance as new architectures emerge and performing fine-tuning when necessary to meet specific domain requirements.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Node.js &amp; Next.js: Deep knowledge of the stack to build reliable services and handle complex LLM-generated data.</li><li>
Dynamic Prompting Skills: Proven experience in building prompts where content is highly dependent on input variables and context injection.</li><li>
OpenRouter Experience: Experience working with unified APIs, managing rate limits, and selecting the most cost-effective models for specific tasks.</li><li>
Langfuse (or similar): Understanding of LLM observability principles &mdash; setting up tracing, creating test datasets, and integrating scoring systems.</li><li>
Evaluation Methodology: Experience with frameworks like RAGAS or building custom &ldquo;LLM-as-a-judge&rdquo; systems.</li><li>
Analytical Mindset: Ability to transform raw generation logs into actionable business metrics and technical insights.</li><li>
Iterative Mindset: Focus on continuous product improvement through constant feedback loops.</li></ul><h1 class="jobSectionHeader">
Nice to have</h1><ul><li>
Fine-Tuning: Practical experience in fine-tuning models for specific domain tasks or JSON compliance.</li><li>
RAG Architecture: Understanding how to build and optimize Retrieval-Augmented Generation systems, including indexing, retrieval, and re-ranking.</li><li>
Python: Basic knowledge for working with data science scripts or AI evaluation libraries.</li></ul><h1 class="jobSectionHeader">
Location</h1>
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately &plusmn; 4 hours of CET. This ensures optimal collaboration and communication during working hours.<h1 class="jobSectionHeader">
Benefits</h1>
Discover the perks of being part of our vibrant team! We offer:<ul><li>
Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
</li><li>Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
</li><li>Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
</li><li>Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
</li><li>Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0</li></ul>
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!<h1 class="jobSectionHeader">
Interview Process</h1>
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:<ul><li>
Recruiter Screening (40 minutes)</li><li>
Technical Interview (60 minutes)</li><li>
Final Interview (30 minutes)</li></ul><h1 class="jobSectionHeader">
Life at Ruby Labs</h1>
At Ruby Labs, we move fast, aim high, and expect the same from our team. We&rsquo;re not here to play small&mdash;we&rsquo;re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you&rsquo;re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more&mdash;more responsibility, more growth, and more success.
#LI-Remote</div>

AI Engineer

Skm Group

We are seeking a Lead AI Engineer to design and deliver secure, production-ready AI capabilities within a large enterprise tax platform hosted on Azure.The platform supports corporate tax calculation, collaboration, and client reporting, and is built on .NET 8, Angular micro frontends, SQL Server, and Azure cloud services. This role will architect and integrate advanced AI features into this mission-critical system.Key Focus Areas<ul><li>Architect and implement LLM integrations (Azure OpenAI preferred)</li><li>Design robust RAG pipelines (embeddings, chunking, vector search, re-ranking)</li><li>Build secure, async backend services using Python and FastAPI</li><li>Ensure enterprise-grade security, PII protection, and compliance</li><li>Design scalable Azure-native architectures (App Services, Functions, Service Bus, Event Grid)</li><li>Implement AI observability and evaluation frameworks</li><li>Drive performance tuning and advanced SQL Server optimization</li><li>Establish DevOps best practices and CI/CD standards</li></ul>Profile<ul><li>Expert-level Python and FastAPI experience</li><li>Strong SQL Server and ORM expertise</li><li>Deep Azure architecture knowledge</li><li>Proven production LLM and RAG implementation experience</li><li>Strong prompt engineering and tool-calling design</li><li>Experience with event-driven systems and secure API design</li><li>Hands-on use of AI-assisted development tools (Copilot, Cursor)</li></ul>Why Join Us<ul><li>Work in a modern software development company with international clients</li><li>Be part of a collaborative, supportive team</li><li>Learn how tech recruitment works end-to-end</li><li>Flexible working model and long-term growth opportunities</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul>About UsWe are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.Job Type: Full-timePay: Up to 300,000.00TRY per monthExperience:<ul><li>Python: 5 years (Required)</li><li>AI: 4 years (Required)</li></ul>Work Location: Remote

Lead AI Engineer [cd303]

Sezzle

<div>The salary range for this role is 3,333 USD - 4,200 USD per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact &mdash; whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:
<ul>
<li>Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.</li>
<li>Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.</li>
<li>Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.</li>
<li>Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.</li>
<li>Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.</li>
<li>Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.</li>
<li>Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.</li>
<li>Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.</li>
<li>Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.</li>
<li>Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.</li>
</ul><h3 class="jobSectionHeader">What We Look for:</h3>
<ul><li>3&ndash;5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.</li>
<li>Hands-on experience designing, building, and shipping AI-powered systems into production environments.</li>
<li>Strong proficiency in Python, SQL, and frontend frameworks such as React.</li>
<li>Proven experience designing and owning production-grade full-stack systems.</li>
<li>Experience working with distributed systems, internal platforms, or complex data workflows.</li>
<li>Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul><li>Experience building AI-first platforms or internal products from scratch, including early architectural decisions.</li>
<li>Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.</li>
<li>Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.</li>
<li>Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.</li>
<li>Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).</li>
<li>Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.</li>
<li>Familiarity with cloud-native development using AWS.</li>
<li>Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.</li>
<li>Experience with containerized systems and orchestration tools such as Docker and Kubernetes.</li>
<li>Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).</li>
<li>Experience with Golang is a plus (or willingness to learn).</li>
</ul>
About You:
<ul>
<li>You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li>You're not bound by convention - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li>You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li>You earn trust - you listen attentively, speak candidly, and treat others respectfully.</li>
</ul>
What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-Remote</div>

AI Engineer II (Remote)

YO IT CONSULTING

<div><h2 class="jobSectionHeader">Role Overview</h2>
We are seeking a skilled AI Prompt Engineer to design, optimize, and evaluate prompts for large language models (LLMs) and generative AI systems. This role focuses on improving model performance, ensuring high-quality outputs, and aligning AI behavior with business objectives.
The ideal candidate understands how AI models interpret instructions and can craft structured prompts that generate accurate, relevant, and context-aware responses.
 <h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, test, and optimize prompts for LLMs and generative AI systems
</li><li>Develop structured prompt frameworks for various use cases (content generation, reasoning, summarization, code generation, etc.)
</li><li>Evaluate AI outputs for accuracy, relevance, tone, and alignment
</li><li>Refine prompts to reduce hallucinations and improve reliability
</li><li>Collaborate with engineering and product teams to improve AI workflows
</li><li>Create documentation and best practices for prompt engineering
</li><li>Analyze model behavior and implement iterative improvements
</li></ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, Linguistics, or related field
</li><li>Strong understanding of Large Language Models (LLMs) and generative AI systems
</li><li>Experience working with AI tools such as GPT, Claude, Gemini, or similar
</li><li>Strong analytical and problem-solving skills
</li><li>Excellent written communication skills
</li><li>Ability to experiment and iterate on prompt structures
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Experience with Python or scripting languages
</li><li>Familiarity with NLP concepts
</li><li>Experience in AI evaluation or model alignment
</li><li>Understanding of prompt chaining and system prompts
</li><li>Knowledge of AI safety and bias mitigation</li></ul></div>

Ai Prompt Engineer - Remote

Saga Legal AI

Make legal technology accessible to everyone At Saga, we're building the intelligence that helps lawyers think faster, work smarter, and stay in control of their craft. Our AI platform blends legal reasoning with machine precision to make complex work simpler, sharper, and more human.We're gaining momentum. Lawyers rely on us for critical work every day, and our growth is accelerating. We're opening a new role that connects product, tech, and customers - someone who'll help us scale without losing what makes us great.Your role as Customer Success Engineer You'll sit between our customers and our product, making both better. As our first dedicated Customer Success Engineer, you are the main technical point of contact for customers and internal teams when it comes to product questions, integrations, and platform behaviour. You help legal teams get real value from our AI platform by solving issues fast, preventing recurring problems, and feeding real world insights back into the product. You work hands on with logs, APIs, workflows, and edge cases, always with the end user in mind. This is a builder role. You are not stepping into a finished support machine. You help design how support works, what good looks like, and how we scale it without losing quality.What you&rsquo;ll do:<ul><li>Act as the first point of contact for technical questions and product issues</li><li>Debug and reproduce customer facing issues and escalate when needed</li><li>Investigate logs, errors, API requests, and AI workflow behaviour</li><li>Translate customer pain points into clear insights for Product and Engineering</li><li>Create and maintain technical documentation, guides, and solution examples</li><li>Work closely with Engineering, Legal Research, Product, and Infra teams</li><li>Improve onboarding and self serve support to reduce inbound tickets over time</li></ul>What you bring to our team You're motivated by solving real problems for real people. You stay composed under pressure, enjoy the challenge of debugging complex issues, and know how to explain what went wrong in plain language. You care about user outcomes and understand the technical side well enough to get them there. You also bring:<ul><li>3+ years of experience in a technical support or technical success role</li><li>Hands on experience troubleshooting SaaS platforms, APIs, and integrations</li><li>Debugging skills with logs, errors, reproductions, and API flows</li><li>Interest in AI workflows including LLM usage, embeddings, RAG, and token limits</li><li>Clear written communication skills for documentation and user guidance</li><li>Ability to explain technical concepts to non technical users</li><li>Fluency in English is required. Any additional European language is a plus.</li></ul>What we offer in return Saga is built on the belief that better legal technology should serve everyone, not just those with the biggest budgets. We offer you a genuine opportunity to make legal AI accessible to professionals who truly need it. The autonomy is real, the growth path is clear, and what you build will help shape how an entire market adopts AI. We also offer:<ul><li>A salary up to &euro;42.000 per year depending on experience</li><li>Clear growth path towards technical leadership: Senior Engineer, Implementation</li><li>Lead, or Product Management depending on where your interests take you</li><li>High autonomy with freedom to experiment, decide, and build your own way</li><li>Remote first setup within EU time zones, with optional workspaces</li><li>A team that moves fast, thinks clearly, and builds with care</li><li>Annual learning budget for certification and conferences</li><li>Hardware and workstation equipment budget</li><li>Entrepreneurial energy at global scale</li></ul>If all this sounds like your kind of challenge, we&rsquo;d love to hear from you.Job Types: Full-time, Temporary, Contract, PermanentPay: Up to 1,296,451.25TRY per yearApplication Question(s):<ul><li>Can you tell us a bit about how you currently use AI in your day to day. We're curious which tools you rely on and how you apply them in your work?</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: Remote

Customer Success Engineer

Pet Media Group

<div><h3 class="jobSectionHeader">About us</h3>
Pet Media Group (PMG) is a scale-up that acquires, launches, and develops market-leading pet marketplaces globally, with over 1.5 million animals finding new homes through our platforms every year. We currently operate in 6 countries (UK, Sweden, Netherlands, Italy, Spain, and most recently the US) &mdash; all within just 5 years of launching. Here's one of our apps: Pets4Homes.co.uk 
The way pets find new loving homes has remained largely unchanged for centuries. We're on a mission to change that through innovative technology &mdash; and increasingly, through the intelligent use of AI. We're a young and ambitious team who have built unicorns before (e.g. Avito), backed by some of Europe's leading investors (e.g. Verdane and Otiva &mdash; early backers of Klarna, CAIA, Apotea, and Easypark).
Who are we looking for?
We're expanding our Monetisation team and looking for an FE-focused full stack engineer to help us build great products in the payment processing &amp; value-added services space, and improve the user experience in the payment domain. 
We're not just looking for a strong engineer &mdash; we're looking for someone who actively uses AI tools as part of their daily workflow: whether that's using LLMs to accelerate development, exploring AI-powered tooling for testing, code review, or product ideation, or simply staying genuinely curious about where the technology is heading. 
We expect roughly 6 years of engineering experience, ideally with our current tech stack &mdash; and a mindset that sees AI as a multiplier, not a buzzword.<h3 class="jobSectionHeader">
Requirements</h3>
We're a fast-growing scale-up. We want engineers who build fast, fail fast, and learn fast. You don't need to be a world-class expert in every tool we use &mdash; but you do need a critical, open mindset, strong JavaScript proficiency, and a genuine enthusiasm for AI-assisted development. 
Core (required):<ul><li>
Building apps with TypeScript, Next.js, Node.js &amp; React</li><li>
Understanding of GraphQL and its usage in large systems with multiple consumers</li><li>
Experience with frontend testing tools and testing strategies</li><li>
Experience with relational databases like PostgreSQL</li><li>
Active use of AI tools (e.g. Claude, Cursor, Codex, ...) in your day-to-day engineering work &mdash; we want to hear how you use them</li></ul><div>
Bonus (helpful &amp; appreciated):</div><ul><li>
Experience with payment processing (Stripe, Adyen, Braintree)</li><li>
Experience with search technologies like Elasticsearch</li><li>
Experience with monitoring &amp; observability tools like Grafana</li><li>
Experience with responsive design &amp; mobile web UX</li><li>
Experience with UI/component frameworks like Tailwind</li><li>
Experience evaluating or experimenting with AI coding workflows at team or company level</li></ul><div>
Working proficiency in English is required.</div><h3 class="jobSectionHeader">
Our tech stack</h3>
Next.js, React, Node.js &amp; React Native (TypeScript throughout) &middot; GitLab CI/CD &middot; Elasticsearch &middot; Redis &middot; GraphQL &amp; PostgreSQL &middot; Knex &middot; Docker &middot; Serverless with AWS Lambda &middot; AWS &middot; Grafana &middot; Bitrise<h3 class="jobSectionHeader">
What we offer</h3><ul><li>
Join a rapidly growing, already-profitable business with a clear vision and genuine energy</li><li>
A diverse team across Sweden, Germany, Austria, UK, Poland, Portugal, Bosnia, Croatia, Ukraine and Egypt</li><li>
A real opportunity to shape our tech department &mdash; and to help define how AI becomes part of how we build</li><li>
Competitive compensation and great benefits (remote or in-person)</li></ul>
We very much look forward to your application, contact us if you have any questions!</div>

Senior Fullstack Engineer (FE-focused) — Monetisation Team (f/m/d)

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Language Requirement: Fluent English
<div><h3 class="jobSectionHeader">Role Description</h3>
As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, and your work will directly help improve the world&rsquo;s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.</div>
<div><h3 class="jobSectionHeader">Your Profile</h3>
<ul><li>2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.</li>
<li>Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.</li>
<li>Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.</li>
<li>Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.</li>
<li>Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.</li>
<li>Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.</li>
<li>Minimum Bachelor&rsquo;s degree in Computer Science or a closely related technical field.</li>
<li>Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.</li>
<li>Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.</li>
<li>Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.</li>
</ul></div><div><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.</li>
<li>Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.</li>
<li>Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li></ul></div></div>

Golang/Go Developer LLM - Remote

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