llm engineer

Openkyber

<div>Job Title: Junior LLM Engineer 
Location: Fremont, CA 
Mandatory Skills: Python, Agentic frameworks (LangChain / LangGraph / Semantic Kernel / AutoGen etc.), RAG, fine-tuning, and multi-agent orchestration, Azure OpenAI/OpenAI/other enterprise LLMs 
Experience Requirements : 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence . 3+ years with LLM frameworks, evaluation tools, or observability platforms like Langfuse, LangChain, Azure AI, etc. 
Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field. 
Key Skills: Splunk, PowerShell, or Python , ServiceNow, Jira, Logs Monitoring, Confluence and SharePoint 
Skill Requirements: Strong Experience on Agentic frameworks ( LangChain / LangGraph / Semantic Kernel / AutoGen etc.). Hands-on expertise in multiagent orchestration and lifecycle management. Proficiency with Retrieval-Augmented Generation (RAG), fine-tuning , and multi-agent orchestration. Good understanding of advanced RAG patterns : hierarchical chunking , embedding strategies, vector DB selection, semantic filtering , context window optimization. Strong familiarity with Vector databases, RAG pipelines, Embedding models, Retrieval strategies . Proficiency in LLM Platforms : Azure OpenAI/OpenAI/other enterprise LLMs (with exposure LLM APIs and frameworks). Experience integrating LLMs into enterprise SDLC workflows. Experience in Designing multiagent systems ( Document Agent, Requirement Agent, Scenario Agent, Test Case Agent, Automation Agent ) with deterministic handoffs and feedback loops. Familiarity with data governance , responsible AI practices, AI ethics , and compliance. Experience with: Prompt layer refinement , fewshot prompting, Structured output generation, Guardrails to avoid hallucinated requirements or test steps Experience implementing end-to-end AI-driven workflows . Exposure to parallel document processing and largescale agent concurrency Experience with incremental regeneration strategies Experience building AI copilots for enterprise workflows.
For applications and inquiries, contact: hirings@openkyber.com</div>

Junior LLM Engineer

<div>Our client, a leader in Fintech SaaS solutions, is seeking a contract Sr. Technical Recruiter. This is a 100% remote position. The Senior Talent Acquisition Partner plays a key role in driving hiring success across Engineering and teams within the US. This role operates within the global Talent Acquisition organization and partners closely with business leaders to develop and execute effective hiring strategies. It requires a high level of autonomy, strong stakeholder management, and a consultative approach to ensure high-quality, timely hires in a competitive market. The Senior Talent Acquisition Partner helps shape hiring plans, advise on talent trends, and champion growth across these key regions.
Required Experience:
10+ years of professional experience in full-cycle recruiting, with strong experience supporting AI first SaaS organizations engineering, and product lines of business. Proven success leading full-cycle recruiting for highly specialized AI, Machine Learning, and Data Engineering roles across research and applied engineering teams. Deep understanding of AI technologies, including machine learning frameworks (TensorFlow, PyTorch), large language models, data science workflows, and cloud-based ML infrastructure. Proven success recruiting within EMEA and LATAM regions, with a strong understanding of local talent markets. Skilled in leveraging advanced sourcing techniques (e.g., GitHub, Stack Overflow, technical communities, boolean searches) to identify and engage passive talent Comfortable working independently and managing multiple roles with competing priorities. Experience advising senior stakeholders on hiring decisions, market insights, and strategy. Demonstrated ability to incorporate AI tools and technology into recruiting workflows. Demonstrated recruiting experience utilizing AI-driven platforms, including Paradox, HiredScore, and BrightHire, to enhance hiring efficiency and candidate engagement. Familiarity with Workday or similar enterprise-level ATS platforms.
Daily Responsibilities:
<ul><li>Manage full-cycle recruitment across Engineering, Product roles in the US and possibly LATAM region - from intake through offer.</li>
<li>Partner closely with hiring managers, HR Business Partners, and senior leaders to define needs, build strategies, and drive hiring outcomes.</li>
<li>Use tools like LinkedIn Recruiter to proactively source top talent and build diverse pipelines.</li>
<li>Translate market research into actionable hiring strategies, including competitor insights, compensation trends, and talent availability.</li>
<li>Own the candidate experience, ensuring timely communication, smooth process flow, and alignment with OpenKyber's brand.</li>
<li>Strong experience leveraging AI tools and recruiting technology to enhance speed, quality, and efficiency throughout the hiring lifecycle.</li>
<li>Contribute to continuous improvement efforts, including interview process design, DEI initiatives, and talent analytics.</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

Senior LLM Engineer

Anduril

<div><div>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</div>
ABOUT THE JOB:

AI is the future operating system of Anduril, and we need creative and enthusiastic AI engineers to help us realize that vision. We're seeking a highly motivated Senior Software Engineer to join a scrappy team dedicated to the continued development of our internal AI ecosystem, including tooling for autonomous coding and agentic automation. To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

WHAT YOU'LL DO:
<ul>
<li>Propose, prototype, and deploy LLM-based agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field</li>
<li>Work cross-functionally with different business lines across Anduril to help discover and scope new solutions</li>
<li>Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.</li>
<li>Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications)</li>
</ul>
REQUIRED QUALIFICATIONS:
<ul>
<li>An AI mindset; enthusiasm for emerging AI technologies and their practical implementations</li>
<li>Creative problem-solving skills with an ability to simplify workflows into modular, reusable automation components</li>
<li>Raw intellectual horsepower</li>
<li>1-2 years of experience taking AI systems into production or 2-4 years of experience with traditional ML</li>
<li>Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree</li>
<li>Experience using and optimizing AI coding assistants in a collaborative production environment</li>
<li>Strong stakeholder and cross-functional communication skills; able to gather workflow requirements and convert them into technical automation.</li>
<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>
</ul>
PREFERRED QUALIFICATIONS:
<ul>
<li>Practical experience enabling agents, skills, MCP, and other emerging AI technologies in professional environment</li>
<li>Experience with process automation, event-driven architecture, and a modular / &quot;unix daemon&quot; mindset on software</li>
<li>Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes</li>
<li>Familiarity with AWS</li>
<li>Use your cover letter to demonstrate how and why you're enthusiastic about AI</li></ul><div> 
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Healthcare Benefits
<ul>
<li>US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>
<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>
<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</li>
</ul>
Additional Benefits
<ul>
<li>Income Protection: Anduril covers life and disability insurance for all employees.</li>
<li>Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>
<li>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>
<li>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.</li>
<li>Professional Development: Annual reimbursement for professional development</li>
<li>Commuter Benefits: Company-funded commuter benefits based on your region.</li>
<li>Relocation Assistance: Available depending on role eligibility.</li>
</ul>
Retirement Savings Plan
<ul>
<li>US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>
<li>UK &amp; IE Roles: Pension plan with employer match.</li>
<li>AUS Roles: Superannuation plan.</li>
</ul>
The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

<div>
<h3 class="jobSectionHeader">Protecting Yourself from Recruitment Scams</h3>

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
</div>
<div>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
<ul>
<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
</li>
<li>Please always verify communications:
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
</li>
<li>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
</li>
</ul></div><h3 class="jobSectionHeader">Data Privacy</h3>

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</div></div>

Senior LLM Software Engineer

NavitasPartners

<div>Job Title: AI/ML Engineer (LLM &amp; Generative AI)
<h3 class="jobSectionHeader">
Location: Plano, TX or Hopewell, NJ</h3>
<h6 class="jobSectionHeader">Note: Client is looking for someone, who is eligible for getting Security Clearance at any point of time.</h6>
<h3 class="jobSectionHeader">Job Summary:</h3>

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.

<h3 class="jobSectionHeader">Key Responsibilities:</h3>
<ul>
<li>Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications
</li>
<li>Design and implement MCP servers and AI-driven architectures
</li>
<li>Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions
</li>
<li>Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel
</li>
<li>Integrate AI models into production systems using APIs, Python, and cloud services
</li>
<li>Collaborate with business stakeholders to identify use cases and deliver measurable outcomes
</li>
<li>Ensure adherence to responsible AI practices, including data privacy and model governance
</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul>
<li>Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)
</li>
<li>Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques
</li>
<li>Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
</li>
<li>Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)
</li>
<li>Experience with cloud platforms: Azure, AWS, or Google Cloud AI services
</li>
<li>Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment
</li>
</ul><h3 class="jobSectionHeader">Preferred Skills:</h3>
<ul>
<li>Experience with AI copilots, automation frameworks, and agentic AI systems
</li>
<li>Familiarity with Docker, Kubernetes, microservices, and API orchestration
</li>
<li>Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders
</li>
</ul><h3 class="jobSectionHeader">Additional Skills:</h3>
<ul>
<li>Python
</li>
<li>Machine Learning
</li>
<li>AI Technologies (OpenShift, React)
</li>
</ul>For more details reach at resumes@navitassols.com.</div>

AI/ML Engineer (LLM & Generative AI) - AIENGG #NJ

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 8&ndash;10 years total software/ML engineering experience, with 5+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Work
 
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Principal Machine Learning Engineer

NS IT Solutions

Role: AI/ML Engineer with Gemini Enterprise 
Location: 100% Remote 
Duration: 12+ Months 

 
NOTE: Candidate must be very strong with Gemini Enterprise and should have end to end experience. 

 
Job Summary: 
We are seeking a high-caliber Senior AI/ML Engineer to lead the development and integration of advanced Generative AI solutions. The ideal candidate must possess expert-level proficiency in the Gemini Enterprise ecosystem (Vertex AI) and a proven track record of deploying production-grade LLM applications. You will be responsible for architecting scalable AI systems, optimizing model performance, and ensuring enterprise-grade security and reliability. 
 
Responsibilities: 
Gemini Implementation: Design and deploy end-to-end solutions using Gemini within the Google Cloud Vertex AI environment. 
RAG Architecture: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources and vector databases. 
Model Tuning: Perform supervised fine-tuning and utilize advanced prompt engineering techniques to align Gemini models with specific business logic. 
Performance Optimization: Monitor, evaluate, and iterate on model latency, throughput, and accuracy. 
Security &amp; Compliance: Implement enterprise-grade safety filters, grounding techniques, and data privacy protocols inherent to Gemini Enterprise. 
 
Requirements: 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 
Minimum of 5 years in an ML-focused role, with at least 1-2 years dedicated to Generative AI and LLM deployment. 
Google Cloud Professional ML Engineer certification is a significant plus. 
 
Gemini Enterprise (Critical) 
Deep experience with Vertex AI Studio, Model Garden, and Vertex AI Search/Conversation. 
Proficiency in leveraging Gemini&rsquo;s multimodal capabilities (Text, Image, Video, Audio) and long-context windows (up to 2M tokens). 
Expertise in Function Calling and Extensions within the Gemini framework to connect LLMs to external APIs and databases. 
 
Core AI/ML Skills 
Programming: Expert-level Python. 
Deep Learning 
NLP &amp; LLMs 
Vector Databases 
 
Vishal (Victor) Verma | Assistant Manager 
vishal@nsitsolutions.com 
NS IT Solutions 
www.nsitsolutions.com

AI/ML 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

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