Full Stack Engineer, ML Platform Job at Prior Labs (Berlin)

Full Stack Python Developer

We are looking for a talented Full Stack Software Engineer with a proven track r...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field
Minimum of 5 to 8 years of experience as a Full Stack Software Engineer with a focus on microservices development and exposure to Machine Learning applications
Proficiency in Python and experience with web frameworks like Flask and Django
Strong knowledge of JavaScript and experience with React or other frontend frameworks
Proven expertise in building and deploying microservices in a production environment
Familiarity with Machine Learning concepts, libraries (e.g., TensorFlow, scikit-learn), and experience in integrating ML models into applications
Hands-on experience in designing and optimizing systems for low-latency applications
Solid understanding of relational and non-relational databases, with experience in database design and query optimization
Proficiency in Git for version control and collaboration
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform

Job Responsibility

Microservices Architecture: Design, develop, and maintain microservices-based applications using Python and web frameworks like Flask and Django
Frontend Development: Create user-friendly and responsive interfaces using React, ensuring seamless user experiences across different devices and platforms
Backend Development: Build efficient and scalable backend systems to support data processing, storage, and retrieval, and facilitate seamless communication between microservices
API Development: Design and implement RESTful APIs to enable smooth integration with external services and facilitate communication between frontend and backend components
Low Latency Setup: Utilize performance optimization techniques to create low-latency setups for ML applications, ensuring real-time response and minimal delay
Machine Learning Integration: Collaborate with data scientists to integrate ML models into the application, ensuring proper deployment, monitoring, and inference
Data Pipelines: Develop data pipelines to preprocess and prepare data for ML models, ensuring data quality and consistency
Security and Authentication: Implement security measures, authentication mechanisms, and access controls to protect sensitive data and ensure application security
Testing and Quality Assurance: Write unit tests, conduct code reviews, and ensure high code quality to deliver reliable and maintainable software solutions
Documentation: Prepare comprehensive documentation for code, APIs, and architecture to facilitate seamless collaboration and future development

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

New

Staff Software Engineer

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Gr...

Location

United States , Chevy Chase; Seattle

Salary:

105000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms
Full-stack developer with extensive experience in modern front-end frameworks (React, TypeScript), web technologies (JavaScript, HTML, CSS/SASS), backend languages (Node.js, Python, Java), and cloud platforms (Azure, AWS, GCP)
Strong ability to architect distributed semantic systems and graph-based microservice architectures that handle complex data relationships and scale reliably
Experience with knowledge graphs, semantic technologies, and AI/ML platforms such as Neo4j, Apache Jena, TigerGraph, or similar graph databases, along with NLP frameworks and content generation models
Familiarity with semantic web standards (RDF, OWL, SPARQL), ontology design, knowledge representation, and automated reasoning systems
Deep understanding of content management ecosystems, headless CMS architectures, API-driven publishing workflows, and content delivery optimization
Experience with AI/ML frameworks for natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data
Product mindset and passion for building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding
Excellent collaboration and communication skills with ability to explain complex semantic concepts to technical and non-technical stakeholders
In-depth knowledge of CS data structures, algorithms, particularly graph algorithms, semantic matching, and distributed system design patterns

Job Responsibility

Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing
Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms
Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Senior Software Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park, CA; Bellevue, WA

Salary:

196000.00 - 230000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of full-stack software engineering experience, ideally in AI, ML, or data-heavy environments
Strong experience building frontend and backend applications using JavaScript/TypeScript, Node.js, and modern frameworks (React, Vue, Angular)
Experience working with LLMs and agentic systems, including prompt engineering, orchestration, or RAG-style patterns
Solid product and UX instincts, especially for internal or enterprise tools
Comfort working in large codebases or monorepos (e.g., Bazel) and shipping production-grade systems
Strong collaboration skills and a mindset focused on building developer- and user-friendly platforms

Job Responsibility

Build and maintain full-stack tools and frameworks that enable teams to develop and deploy AI-powered internal applications
Design and implement client- and server-side systems to support scalable, production-ready agentic AI solutions
Develop workflows and tooling for agent development, enabling rapid prototyping, experimentation, and iteration
Build internal AI products ranging from workflow automation to full internal platforms used across the company
Collaborate closely with AI engineers and internal stakeholders to deliver reusable libraries, abstractions, and tooling
Help shape how agentic AI is applied across Robinhood, with a focus on reliability, usability, and long-term impact

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Software Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park, CA; Bellevue, WA

Salary:

196000.00 - 230000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of full-stack software engineering experience, ideally in AI, ML, or data-heavy environments
Strong experience building frontend and backend applications using JavaScript/TypeScript, Node.js, and modern frameworks (React, Vue, Angular)
Experience working with LLMs and agentic systems, including prompt engineering, orchestration, or RAG-style patterns
Solid product and UX instincts, especially for internal or enterprise tools
Comfort working in large codebases or monorepos (e.g., Bazel) and shipping production-grade systems
Strong collaboration skills and a mindset focused on building developer- and user-friendly platforms

Job Responsibility

Build and maintain full-stack tools and frameworks that enable teams to develop and deploy AI-powered internal applications
Design and implement client- and server-side systems to support scalable, production-ready agentic AI solutions
Develop workflows and tooling for agent development, enabling rapid prototyping, experimentation, and iteration
Build internal AI products ranging from workflow automation to full internal platforms used across the company
Collaborate closely with AI engineers and internal stakeholders to deliver reusable libraries, abstractions, and tooling
Help shape how agentic AI is applied across Robinhood, with a focus on reliability, usability, and long-term impact

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Fullstack Software Engineer

Fullstack Software Engineer for the Ops AI Platform team. Building a platform wh...

Location

Salary:

Not provided

Alan

Expiration Date

Until further notice

Requirements

Strong background in full-stack software engineering, systems architecture, with a spike in back-end engineering
Experience with traditional ML, or LLMs, or ML dev ops is a big plus
Product-minded: you want your solutions to be used, and impactful
Self-directed and pragmatic
Humble and still willing to grow (no matter your seniority!)
Collaborative, enthusiastic about teamwork, learning, and teaching
Fluent in English (no need to speak French!)
High potential and curiosity
3+ years of experience

Job Responsibility

Work at the intersection of product engineering and ML engineering
Create the platform that enables building accurate and reliable AI agents
Deliver an outstanding experience to our internal Ops team for the creation, iteration and monitoring of their agents
Integrate agents at the heart of internal tools
Empower non-technical users to become autonomous in the creation and maintenance of agents
Build a complete set of tools made available to AI agents
Ensure safety and accuracy at the core
Implement new capabilities for AI agents, as well as tooling to make ops autonomous
Work on making our system scale
Have significant influence on system architecture and code quality

What we offer

Fair rewards. Generous equity packages
Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship
All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones
Flexible vacation policy and flexible working hours
Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only)
Transport. Country-specific commuter benefits
Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences
Personal growth through coaching: Every Alaner is paired with a dedicated coach from day one
Parental leave. Extended parental leave for all new parents

Fulltime

Senior Full Stack Engineer

The Senior Full Stack Engineer will support the modernization of IRS mission-cri...

Location

United States , McLean

Salary:

Not provided

BLN24

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum 6 years of experience in full-stack software development and architecture
Demonstrated expertise in designing and implementing RESTful and GraphQL APIs, and building service-oriented architectures
Proficiency with front-end frameworks such as React, Angular, or Vue, and backend technologies such as Node.js, Python, Java, or Spark
Solid working knowledge of core web technologies, including HTML, CSS, JavaScript, and modern UI component libraries
Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration tools including Kubernetes and OpenShift
Familiarity with platforms such as Databricks for data engineering, pipeline integration, or ML model support
Experience designing scalable, secure web applications and microservices architectures with considerations for caching, authentication, and maintainability
Working knowledge of SQL and NoSQL databases, CI/CD pipelines, infrastructure-as-code, and cloud monitoring tools
Experience collaborating in Agile delivery environments, and contributing to code reviews, documentation, and team-based development workflows

Job Responsibility

Design and develop scalable APIs using REST, GraphQL, and gRPC in compliance with IRS enterprise architecture and security standards (OAuth, JWT)
Lead full-stack development of modern, modular web applications that interface with IRS systems and external users
Decompose and migrate legacy system functionality (e.g., COBOL-based command codes) into modern service-oriented components
Integrate AI-driven services, including ML model endpoints, auto-generated documentation, code conversion workflows, and intelligent test automation
Implement CI/CD pipelines and automated testing tools (e.g., Postman, Newman) to ensure secure, validated, and maintainable code
Collaborate with DevOps and Site Reliability Engineers to embed observability tools (e.g., Prometheus, Datadog, New Relic) and monitoring dashboards
Translate business and functional requirements into API contracts and reusable service patterns, working within Agile Scrum teams
Maintain backward compatibility with legacy systems while building toward scalable, cloud-optimized services
Ensure IRS and Treasury IT governance compliance, including Section 508 accessibility and cybersecurity policies

What we offer

Generous medical, dental, and vision plans
Opportunity to work in different sectors
Flexibility to balance quality work and personal lives
Remote working opportunities

Fulltime

New

Software Engineer

Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premi...

Location

Croatia , Zagreb

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Strong engineering background as a Senior Data Engineer (expert in software engineering, backend development) or a Senior Full-Stack/Web Developer (proficient in backend/frontend architectures and databases)
ML foundations with a solid grasp of basic Machine Learning concepts
Consultative mindset with proven experience communicating technical topics to diverse audiences
Curiosity and a strong desire to shift career focus entirely toward the ML/AI stack on GCP

Job Responsibility

Architect ML solutions: design and implement sophisticated ML architectures on Google Cloud
Engineer for production: build and deploy production-grade software for AI-driven solutions, ensuring high standards of code quality
Automate workflows: implement AIOps best practices, including logging, monitoring and alerting, and automated testing
Consult & collaborate: work closely with clients to translate business requirements into impactful and scalable solutions

What we offer

Learning & Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms (Coursera, LinkedIn Learning)
Flexibility: A hybrid working model (2-3 days in the office)
Wellbeing: Supplementary health insurance and 50% covered MultiSport membership
Holiday: 25+ days of vacation
Impact: The chance to work on cutting-edge GenAI and ML projects for market-leading global brands

Fulltime

Senior Software Engineer (TypeScript) - AI/ML

We are looking for a Senior Software Engineer to drive the development of AI/ML-...

Location

The Netherlands

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience in production environments
Exposure to working directly with AI/ML technologies
Strong frontend skills with TypeScript/JavaScript and React
Backend development experience in TypeScript or Python, with a focus on API design and service architecture
You have a high level of ownership and can drive features from concept to production with minimal supervision
You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders

Job Responsibility

Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform
API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services
UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds
Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools
Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Full Stack Engineer, ML Platform

Prior Labs

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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