senior stack engineer

sandan AI

<div><p>Standort: Remote (DACH-Zeitzone), Office Berlin optional<br>
Anstellung: Vollzeit, unbefristet<br>
Start: Ab sofort<br>
Sprache: Deutsch C2, Englisch min. C1</p>
<p></p>
<p><b>
&Uuml;BER SANDAN AI</b></p>
<p>
sandan AI ist ein in Berlin ansässiges AI-Native-Startup für Enterprise-Kunden im DACH-Raum. Wir prägen, wie Marketing in einer agentischen Wirtschaft aussieht &ndash; und bauen die Plattform, auf der diese neue Generation von Marketing-Workflows läuft. Unser Anspruch: Software so zu entwickeln, wie Software 2026 entwickelt werden sollte &ndash; agentisch, iterativ, mit AI als integralem Bestandteil des EngineeringWorkflows.</p>
<p></p>
<p><b>
UNSERE ARBEITSWEISE</b><br>
Wir entwickeln agentisch. Claude Code und Codex sind Kern unseres Engineering-Workflows &ndash; nicht Spielerei. Wer bei uns einsteigt, arbeitet entweder schon produktiv mit diesen Tools oder will sich aktiv und tief einarbeiten.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<p>
Du bist verantwortlich f&uuml;r Frontend und Backend unserer Plattform. Du baust die UI, die unsere Nutzer:innen t&auml;glich sehen, und die Services, die im Hintergrund Millionen von Generation-Jobs verarbeiten.</p>
<ul>
<li>Architektur und Implementierung unseres Frontends (React, Next.js) &ndash; State Management, Performance, Komponentensystem</li>
<li>Backend-Services mit Node.js und Nest.js &ndash; APIs, Auth, Job-Queues, Webhooks</li>
<li>Datenmodell und Performance unserer PostgreSQL-Datenbank</li>
<li>Containerisierung und Deployment via Docker und Kubernetes</li>
<li>Integration der ML-/Agent-Pipelines unserer AI-Engineers in die Plattform-UX</li>
<li>Code Reviews und enge Zusammenarbeit mit dem Founding-Team<br>
an Architektur-Entscheidungen</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<p>
Must-have:</p>
<ul>
<li>Mehrj&auml;hrige Berufserfahrung als Full-Stack-Engineer mit Produktverantwortung in Production</li>
<li>Tiefe Kenntnisse in TypeScript, React/Next.js und Node.js/Nest.js</li>
<li>Erfahrung mit PostgreSQL inkl. Query-Optimierung</li>
<li>Sicherer Umgang mit Docker; Kubernetes-Grundverst&auml;ndnis</li>
<li>Deutsch C2 und Englisch C1</li>
<li>Builder-Mentalit&auml;t: Du lieferst Production-Software, nicht nur Prototypen</li>
</ul>
<p>Pluspunkte:</p>
<ul>
<li>Erfahrung mit Claude Code, Codex oder Cursor im Tagesgesch&auml;ft</li>
<li>Eigenentwicklung von Custom-Commands, Sub-Agents oder MCP-Servern</li>
<li>Erfahrung mit Event-Driven-Architecture, Queues (BullMQ, Temporal, SQS)</li>
<li>Background in B2B-SaaS oder Creative-Tooling</li>
<li>Erfahrung mit Stripe, Auth0, Clerk oder vergleichbar</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>Wettbewerbsf&auml;higes Gehalt mit j&auml;hrlicher Anpassung</li>
<li>Vollst&auml;ndig finanzierter Zugang zu Claude Max, Codex, GitHub Copilot und allen relevanten Developer-Tools</li>
<li>MacBook Pro nach Wahl</li>
<li>Remote-First, flexible Arbeitszeiten</li>
<li>Meetups in Berlin oder Dubai (DIFC AI Campus, optional)</li>
<li>Direkter Einfluss auf Produkt und Architektur in einer fr&uuml;hen Phase</li>
<li>Steile Lernkurve in Agentic AI und AI-Native-Engineering</li>
</ul>
<p>Lebenslauf reicht. Wenn du GitHub, Portfolio oder ein Produkt hast, an dem du gebaut hast &ndash; sehr gerne mit dazu.</p>
<p>
Wir freuen uns auf dich.</p></div>

Senior Full-Stack Engineer (m/w/d) - TypeScript/ React/ Node (german speaking)

COVERGO

<p></p><div><p><b>Top 3 Reasons To Join Us</b></p><ul><li>
Competitive Salary</li><li>
International Environment</li><li>
Working on the latest tech for the Insurtech Market Leader</li></ul><p></p><p><b>
About Us</b></p><p>
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.</p><ul><li>
We are a leading global no-code insurance platform for health, life, and P&amp;C</li><li>
We&rsquo;re the winner of the Insurtech of the Year in all of Asia and other awards globally</li><li>
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more</li><li>
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world</li><li>
We are fully funded and backed by reputable VC funds and strategic institutional investors</li><li>
We have a global presence in Asia, EMEA and the Americas</li><li>
We&rsquo;ve grown our annualized revenue by over 30x since January 2021</li><li>
We&rsquo;re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world</li></ul><p></p><p><b>
What You Will Do</b></p><ul><li>
Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions</li><li>
Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages</li><li>
Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience.</li><li>
Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience</li><li>
Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality</li><li>
Investigate and promptly fix bugs to maintain the reliability of the platform</li><li>
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data</li><li>
Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative</li><li>
Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows</li><li>
Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals</li></ul><p></p><p><b>
What We Need</b></p><ul><li>
Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications</li><li>
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker</li><li>
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
</li><li>Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications</li><li>
Experience with microservices and/or clean architecture</li><li>
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code</li><li>
Experience with unit, integration and function testing using front-end and back-end testing libraries</li><li>
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains</li><li>
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations</li><li>
Demonstrated experience in performance optimization for high-traffic web applications</li><li>
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.</li><li>
Experience with agile development methodologies and collaborating with cross-functional teams</li><li>
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing</li><li>
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds</li><li>
A passion for staying updated with the latest trends, technologies, and best practices in software development</li></ul><p></p><p><b>
Why You'll Love Working Here</b></p><ul><li>
Competitive renumeration package</li><li>
International Environment</li><li>
15 days annual leave, 10 sick leaves, special leaves</li><li>
Annual Performance Bonus</li><li>
Stock Options after 6 months</li><li>
Company activities and events</li><li>
Learning and development plan</li></ul><p></p><p><b>
CoverGo Company </b>Video</p><p>
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo&rsquo;s Privacy Notice and you consent to the processing of your data as part of this application.</p></div>

Senior Full Stack Engineer (.NET & Vue/React) - Fully Remote, CET

Advanced Asset Management

<div><p><b>About the Role</b>
</p><p>If you're the kind of engineer who gets excited about building AI systems that actually work in production &mdash; not just demos &mdash; this might be the role for you.
</p><p>We're growing our team and looking for a Senior Full Stack AI Engineer who can move across the full stack with confidence: from crafting clean, responsive frontends to architecting backend systems that scale, to wiring together LLMs, vector databases, and inference pipelines that power real products used by real people.
</p><p>This isn't a role where you'll be handed a neat spec and told to execute. You'll help shape the architecture, make meaningful technical decisions, and work with people who care deeply about doing things right.
</p><p></p><p><b>Role Details</b>
</p><ul><li><b>Experience: </b>5+ years in professional software engineering
</li><li><b>Employment: </b>Full-Time
</li><li><b>Location: </b>Remote-first
</li><li><b>Focus: </b>AI/LLM systems, Full Stack development, Cloud infrastructure</li></ul><p><b>
What </b>You'll Be Working On
</p><p>Day to day, you'll be involved in a mix of the following:
</p><ul><li>Designing and building scalable AI-powered web applications, end to end
</li><li>Creating clean, fast frontends with React.js and Next.js
</li><li>Writing solid backend services and APIs with FastAPI &mdash; built for performance and reliability
</li><li>Building RAG pipelines, AI agents, and LLM orchestration systems that work at scale
</li><li>Architecting semantic search and vector retrieval systems that return meaningful results
</li><li>Setting up distributed, event-driven systems with proper queue and caching layers
</li><li>Deploying and managing cloud infrastructure, including GPU workloads for AI inference
</li><li>Profiling and optimizing systems for speed, cost, and resilience
</li><li>Contributing to architectural decisions and helping the team level up technically
</li></ul><p></p><p><b>What </b>We're Looking For
</p><p>We care more about what you can do than how perfectly your resume matches a checklist. That said, here are the areas where you'll need to be genuinely strong:
</p><p><b>Frontend</b>
</p><ul><li>React.js
</li><li>Next.js
</li><li>TypeScript
</li><li>Tailwind CSS
</li><li>Redux / Zustand
</li><li>Server-Side Rendering (SSR)
</li><li>Static Site Generation (SSG)
</li><li>WebSocket Integration
</li><li>Performance Optimization
</li><li>CDN &amp; Asset Delivery
</li></ul><p></p><p><b>Backend &amp; Systems</b>
</p><ul><li>Python &amp; FastAPI
</li><li>RESTful APIs
</li><li>Async Programming
</li><li>Microservices
</li><li>PostgreSQL / MongoDB
</li><li>Redis
</li><li>RabbitMQ / Kafka
</li><li>Celery / BullMQ
</li><li>Event-Driven Architecture
</li><li>Distributed Systems
</li><li>API Gateway Design
</li><li>Auth &amp; RBAC
</li></ul><p></p><p><b>AI &amp; LLM Engineering</b>
</p><ul><li>LangChain / LangGraph
</li><li>LlamaIndex
</li><li>RAG Pipelines
</li><li>Prompt Engineering
</li><li>AI Agent Frameworks
</li><li>Embeddings &amp; Semantic Search
</li><li>Streaming LLM Integrations
</li><li>Context &amp; Memory Management
</li><li>OpenAI / Claude / Llama
</li><li>Mistral / Gemini / Open-Source LLMs
</li></ul><p></p><p><b>Model Fine-Tuning &amp; Inference</b>
</p><ul><li>Hugging Face Transformers
</li><li>LoRA / QLoRA / PEFT
</li><li>Model Quantization
</li><li>GPU Inference Optimization
</li><li>vLLM / Ollama / TGI
</li><li>Batch Inference Pipelines
</li><li>CUDA Fundamentals
</li></ul><p></p><p><b>Vector Databases</b>
</p><ul><li>Pinecone
</li><li>Weaviate
</li><li>Qdrant
</li><li>ChromaDB
</li><li>FAISS
</li><li>Milvus
</li></ul><p></p><p><b>Cloud, Infrastructure &amp; DevOps</b>
</p><ul><li>Docker &amp; Kubernetes
</li><li>AWS / GCP / Azure
</li><li>CI/CD Pipelines
</li><li>Nginx &amp; Linux Admin
</li><li>GPU Infrastructure
</li><li>Cloudflare / CloudFront
</li><li>S3 / GCS Object Storage
</li><li>Prometheus / Grafana
</li><li>ELK Stack
</li><li>Terraform / Ansible
</li></ul><p></p><p><b>Nice to Have (But Not Required)</b>
</p><p>These aren't dealbreakers, but they'll definitely get our attention:
</p><ul><li>Experience with OCR, Computer Vision, or multimodal AI
</li><li>Hands-on work with YOLO or real-time inference systems
</li><li>Background in high-concurrency or real-time platforms
</li><li>Familiarity with web scraping, document extraction, or data ingestion pipelines
</li><li>Experience running AI infrastructure at enterprise scale</li></ul></div>

Senior Full Stack AI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Senior Full Stack AI Engineer</div><br>
<div><br>
</div><div>Required Qualifications
</div><ul><li> 8+ years of experience in software engineering, automation, or platform engineering roles.
</li></ul><ul><li> Proven hands-on experience implementing LLM based or agentic AI solutions in enterprise environments.
</li></ul><ul><li> Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows).
</li></ul><ul><li> Strong understanding of agent architectures, tool orchestration, and secure AI platform design.
</li></ul><ul><li> Experience working with investment, research, or Portfolio Management business users.
</li></ul><ul><li> Proficiency in Python and modern cloud native development patterns.</li></ul><br>
<div><br>
</div><div>Required Qualifications
</div><ul><li> Experience building AI platforms or shared AI services in financial services or regulated environments.
</li></ul><ul><li> Familiarity with portfolio management, investment research, or quantitative analytics workflows.
</li></ul><ul><li> Experience integrating AI solutions with enterprise data platforms and analytics stacks.
</li></ul><ul><li> Exposure to Responsible AI frameworks, model governance, and audit requirements.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform &ndash; AgentCore by designing, building, and scaling new AI driven capabilities that directly support Portfolio Management and Research workflows. This role will serve as a hands on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across the client&mdash;delivering secure, governed, and reusable AI components. The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high value investment use cases into production grade agentic solutions deployed on AgentCore.</div><br>
<div><br>
</div><div>AI (AgentCore) Platform Maturity
</div><ul><li> Design agentic workflows and multi agent orchestration patterns using approved AgentCore frameworks and runtimes.
</li></ul><ul><li> Build AI capabilities that leverage:
</li></ul><ul><li> Tool calling
</li></ul><ul><li> Retrieval augmented generation (RAG)
</li></ul><ul><li> Structured data semantics
</li></ul><ul><li> Reusable prompt and skill
</li></ul><div>Value Realization &amp; Platform Adoption
</div><ul><li> Demonstrate measurable impact on research productivity, decision velocity, and analytical depth.
</li></ul><ul><li> Support adoption via reference implementations, documentation, and enablement materials.
</li></ul><ul><li> Provide architectural guidance to teams building on AgentCore to prevent fragmentation and &ldquo;shadow AI.&rdquo;Enterprise Platform Enablement
</li></ul><ul><li> Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
</li></ul><ul><li> Esta blish reusable AI components, frameworks, and guardrails for product and engineering teams.
</li></ul><ul><li> Enable adoption through reference architectures, implementation patterns, and developer enablement.
</li></ul><div>Value Realization &amp; Measurement
</div><ul><li> Identify and quantify productivity, quality, and cycle time improvements driven by AI.
</li></ul><ul><li> Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
</li></ul><ul><li> Support executive visibility into AI driven outcomes and maturity progress.</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Minneapolis, MN</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415554</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial intelligence
</div></div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div></div></div></div><div></div>

Global Software Solutions Group

<div>
 We are looking for a highly skilled Senior Software Engineer with strong expertise in Full Stack development using Node.js and React JS to support enterprise Digital Products &amp; Assisted Banking initiatives. The ideal candidate should have hands-on experience building scalable web applications, modern APIs, and microservices architectures while leveraging AI-assisted development tools to improve engineering productivity and delivery efficiency.
 <br/>
 <br/>
 This role requires strong frontend and backend engineering capability, modern software development practices, and the ability to work effectively within Agile product engineering teams.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain scalable full-stack applications using Node.js and React JS
  </li>
  <li>
   Build secure, high-performance RESTful APIs and microservices-based backend services
  </li>
  <li>
   Develop responsive, reusable, and performant frontend applications using React JS and TypeScript
  </li>
  <li>
   Utilize AI-assisted coding tools such as GitHub Copilot, Claude Code, Cursor, or similar tools to accelerate development workflows and improve engineering efficiency
  </li>
  <li>
   Write clean, maintainable, reusable, and well-tested code following engineering best practices
  </li>
  <li>
   Collaborate closely with product owners, QA teams, designers, DevOps engineers, and business stakeholders to deliver high-quality digital products
  </li>
  <li>
   Participate in code reviews, technical discussions, debugging, and performance optimization activities
  </li>
  <li>
   Troubleshoot production issues and ensure application reliability, scalability, and stability
  </li>
  <li>
   Contribute to CI/CD implementation, automation workflows, and modern engineering standards
  </li>
  <li>
   Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands-on experience in Full Stack development using Node.js and React JS
  </li>
  <li>
   Strong proficiency with Node.js frameworks such as Express.js, NestJS, or similar
  </li>
  <li>
   Strong expertise in React JS including:
  </li>
  <li>
   React Hooks
  </li>
  <li>
   Component Architecture
  </li>
  <li>
   State Management
  </li>
  <li>
   Responsive UI Development
  </li>
  <li>
   Strong experience with TypeScript and modern JavaScript (ES6+)
  </li>
  <li>
   Experience designing and developing RESTful APIs and microservices architectures
  </li>
  <li>
   Hands-on experience with AI code generation tools such as:
  </li>
  <li>
   GitHub Copilot
  </li>
  <li>
   Claude Code
  </li>
  <li>
   Cursor
  </li>
  <li>
   Other AI-assisted engineering tools
  </li>
  <li>
   Strong understanding of prompt engineering concepts for development workflows
  </li>
  <li>
   Experience with SQL and NoSQL databases including PostgreSQL, MongoDB, and Redis
  </li>
  <li>
   Experience with Git version control, CI/CD pipelines, and modern software delivery practices
  </li>
  <li>
   Strong understanding of software engineering principles, debugging, testing, and performance optimization
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <ul>
  <li>
   Exposure to cloud-native architectures and containerization technologies
  </li>
  <li>
   Experience with Docker, Kubernetes, or DevOps practices
  </li>
  <li>
   Exposure to digital banking or assisted banking platforms
  </li>
  <li>
   Familiarity with scalable distributed systems and event-driven architectures
   <br/>
   <br/>
  </li>
 </ul>
 Required Competencies
 <br/>
 <br/>
 <ul>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and collaboration capability
  </li>
  <li>
   Ability to work effectively in Agile product engineering environments
  </li>
  <li>
   Strong ownership mindset with focus on engineering quality and delivery excellence
  </li>
  <li>
   Ability to adapt quickly to evolving business and technology requirements
  </li>
  <li>
   Passion for continuous learning and modern AI-driven software development practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Domain Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Banking
  </li>
  <li>
   Financial Services
  </li>
  <li>
   Digital Products
  </li>
  <li>
   Assisted Banking Platforms
   <br/>
   <br/>
  </li>
 </ul>
 Education
 <br/>
 <br/>
 Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field (or equivalent industry experience).
</div>


Senior Software Engineer - Full Stack

GSSTech Group

<div><p>We are looking for a highly skilled Senior Software Engineer with strong expertise in Full Stack development using Node.js and React JS to support enterprise Digital Products &amp; Assisted Banking initiatives. The ideal candidate should have hands-on experience building scalable web applications, modern APIs, and microservices architectures while leveraging AI-assisted development tools to improve engineering productivity and delivery efficiency.</p><p>
This role requires strong frontend and backend engineering capability, modern software development practices, and the ability to work effectively within Agile product engineering teams.</p><b><br>
Requirements</b><div><br>
Key Responsibilities<br>
<ul><li>Design, develop, and maintain scalable full-stack applications using Node.js and React JS.</li><li>Build secure, high-performance RESTful APIs and microservices-based backend services.</li><li>Develop responsive, reusable, and performant frontend applications using React JS and TypeScript.</li><li>Utilize AI-assisted coding tools such as GitHub Copilot, Claude Code, Cursor, or similar tools to accelerate development workflows and improve engineering efficiency.</li><li>Write clean, maintainable, reusable, and well-tested code following engineering best practices.</li><li>Collaborate closely with product owners, QA teams, designers, DevOps engineers, and business stakeholders to deliver high-quality digital products.</li><li>Participate in code reviews, technical discussions, debugging, and performance optimization activities.</li><li>Troubleshoot production issues and ensure application reliability, scalability, and stability.</li><li>Contribute to CI/CD implementation, automation workflows, and modern engineering standards.</li><li>Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives.</li></ul></div><div>
Required Technical Skills<br>
<ul><li>Strong hands-on experience in Full Stack development using Node.js and React JS.</li><li>Strong proficiency with Node.js frameworks such as Express.js, NestJS, or similar.</li><li>Strong expertise in React JS including:</li></ul></div><ul><li>
React Hooks</li><li>
Component Architecture</li><li>
State Management</li><li>
Responsive UI Development<br>
<ul><li>Strong experience with TypeScript and modern JavaScript (ES6+).</li><li>Experience designing and developing RESTful APIs and microservices architectures.</li><li>Hands-on experience with AI code generation tools such as:</li></ul></li><li>
GitHub Copilot</li><li>
Claude Code</li><li>
Cursor</li><li>
Other AI-assisted engineering tools<br>
<ul><li>Strong understanding of prompt engineering concepts for development workflows.</li><li>Experience with SQL and NoSQL databases including PostgreSQL, MongoDB, and Redis.</li><li>Experience with Git version control, CI/CD pipelines, and modern software delivery practices.</li><li>Strong understanding of software engineering principles, debugging, testing, and performance optimization.</li></ul></li></ul><div>
Nice to Have<br>
<ul><li>Exposure to cloud-native architectures and containerization technologies.</li><li>Experience with Docker, Kubernetes, or DevOps practices.</li><li>Exposure to digital banking or assisted banking platforms.</li><li>Familiarity with scalable distributed systems and event-driven architectures.</li></ul></div><div>
Required Competencies<br>
<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration capability.</li><li>Ability to work effectively in Agile product engineering environments.</li><li>Strong ownership mindset with focus on engineering quality and delivery excellence.</li><li>Ability to adapt quickly to evolving business and technology requirements.</li><li>Passion for continuous learning and modern AI-driven software development practices.</li></ul></div><div>
Preferred Domain Experience<br>
<ul><li>Banking</li><li>Financial Services</li><li>Digital Products</li><li>Assisted Banking Platforms</li></ul></div><p>
Education<br>
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, or related field (or equivalent industry experience).</p></div>

Siemens

<div>
 <strong>
  About Brightly
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 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.
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  What You&rsquo;ll Do
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   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.)
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   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.
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   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.)
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   Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
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   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.)
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   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.
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   Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
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   Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
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 (Consistent with ML engineer responsibilities to analyze data before model development.)
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   Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
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  What You&rsquo;ll Bring
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  Required experience
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   5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
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   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.
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  <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.)
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   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.)
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   MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
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   Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
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  Nice to have
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  <li>
   Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
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   Exposure to sustainability/asset/intelligent operations domains.
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   Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
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 How you&rsquo;ll work
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   Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
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   Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
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   Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
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  Qualifications
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   Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
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 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.
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  The Brightly culture
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 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>


Senior Machine Learning Engineer

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