Full Stack Developer

Principal Engineer, GenAI Innovation

The full stack Principal Engineer will work with a team of other software engine...

Location

United States , Bellevue

Salary:

129400.00 - 233400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Engineering
7+ years of proven experience in full stack web development
Technical engineering experience
Crafting database schemas, writing SQL
3+ years of DevOps experience with infrastructure as code
4-7 years using cloud services from AWS, Azure, or GCP
2+ years of experience working with Generative AI models, APIs
Experience coaching and mentoring team members
Knowledge of HTML, CSS, Webpack, JavaScript, at least one front-end framework, and one back-end framework
Understanding of database modeling and SQL

Job Responsibility

Designs and builds full stack web solutions including both the back end and front end
Code Review and mentoring of other team members
Designs / crafts sophisticated scheduled jobs and micro-services defining new patterns and orchestrations
Designs / implements detailed data storage mechanisms using relational and non-relational data stores
Explores, creates and configures cloud services using infrastructure as code
Recommends new cloud services and patterns
Presents new ideas which improve an existing system/process/service
Collaborates with team to break down features into user stories and estimate them
Awareness of technology roadmap
Updates job knowledge by monitoring and understanding emerging engineering practices

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Slovakia

Salary:

3700.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures
Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end
Define technical specifications directly from business goals
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks, and monitoring strategies
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices
Embrace and drive an iterative, agile development process
Support, maintain, and evolve your components post-launch
Document your systems and learnings to enable efficient collaboration within the team

What we offer

Stock options
Comprehensive benefits package
$1,500 professional education budget on an annual basis
Employee referral bonus of up to $3,000
Company performance bonus
Restricted Stock Units or Stock Options
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer

Fulltime

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Czechia

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers
Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions
Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch
Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers
Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight
Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach
Leader Development Program
$1,500 professional education budget
Employee Assistance Program

Senior Software Developer (MERN Stack)

Enphase Energy is a global energy technology company and a leading provider of s...

Location

India , Bangalore

Salary:

Not provided

Enphase Energy

Expiration Date

Until further notice

Requirements

Motivated Full-Stack Developer with 4 to 7 years of experience developing web applications using modern frontend and backend technologies
Passionate about building clean, responsive user interfaces and working in collaborative Agile environments
Contributed to full-stack web application development using React, Node.js, and Python
Designed and consumed RESTful APIs, including AI-enabled services
Designed, built, and integrated Generative AI features using AWS Bedrock into production applications
Implemented LLM-powered workflows such as summarization, intelligent search, content generation, and user assistance
Applied prompt engineering techniques and iterative tuning to improve response quality and reliability
Participated in code reviews and architecture discussions, including AI-driven design decisions
Assisted in performance optimization, including latency and cost optimization for AI workloads
Collaborated with QA and DevOps teams to deploy AI and non-AI services through CI/CD pipelines

Barclays Services LLC seeks Full Stack Developer in Whippany, NJ (multiple posit...

Location

United States , Whippany

Salary:

131997.00 - 135000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Develop high-volume web applications for Barclays' Cards Platform Technology business
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints
Confer with stakeholders across the team to obtain information on limitations or capabilities for data processing projects
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces
Develop high performing distributed web applications
Design and build software with integrated GenAI features, ensuring efficient and reusable code
Implement CI/CD pipelines using GitLab for automated testing, building and deploying both software and AI models
Build scalable, cloud-native software with microservices, containers (Docker/Kubernetes), and serverless architectures, using GitLab CI/CD for automated deployments and infrastructure as code (IaC)
May telecommute pursuant to company policies

Job Responsibility

Develop high-volume web applications for Barclays' Cards Platform Technology business
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints
Confer with stakeholders across the team to obtain information on limitations or capabilities for data processing projects
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces
Develop high performing distributed web applications
Design and build software with integrated GenAI features, ensuring efficient and reusable code
Implement CI/CD pipelines using GitLab for automated testing, building and deploying both software and AI models
Build scalable, cloud-native software with microservices, containers (Docker/Kubernetes), and serverless architectures, using GitLab CI/CD for automated deployments and infrastructure as code (IaC)
May telecommute pursuant to company policies

What we offer

Medical, dental and vision coverage
401(k)
Life insurance
Other paid leave for qualifying circumstances
Incentive award
Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Full Stack Engineer, GenAI

Our team is expanding to build practical, production-ready generative AI systems...

Location

United States , Santa Monica; Sherman Oaks; Vancouver

Salary:

77500.00 - 143376.00 USD / Year

Activision

Expiration Date

Until further notice

Requirements

Strong proficiency with Python and JavaScript or TypeScript, with 5+ years of experience building backend services and modern frontend applications
Experience designing and shipping full stack software in production environments, with a focus on reliability, performance, and maintainability
Experience integrating AI into real-world applications, including model inference, orchestration approaches such as tool calling, retrieval augmented systems, or protocols like Model Context Protocol
Experience working with cloud infrastructure such as Azure, Google Cloud Platform, or similar environments, including deploying and operating services at scale
Working knowledge of machine learning fundamentals and applied AI techniques, including familiarity with deep learning approaches such as convolutional neural networks and generative models
Comfort working with containerization and modern infrastructure practices such as Docker, Kubernetes, and cloud managed services
Ability to operate in fast moving, ambiguous environments, balancing experimentation with delivery and iteration
Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical partners

Job Responsibility

Design, build, and maintain full stack applications that integrate generative AI and machine learning capabilities into studio tools, developer platforms, and production workflows
Develop scalable backend services, APIs, and data pipelines that power AI-driven systems used across game development and studio operations
Build intuitive, responsive interfaces that allow developers, artists, and creative teams to interact effectively with AI-powered tools
Rapidly prototype and experiment with new AI-driven capabilities, validating ideas and evolving successful prototypes into reliable production systems
Apply a range of AI and machine learning techniques, selecting the right approaches for real-world production environments and creative workflows
Implement and integrate AI systems using modern orchestration approaches and emerging standards such as Model Context Protocol to support modular, extensible AI workflows
Partner cross-functionally with research, platform, product, security, and studio engineering teams to translate emerging capabilities into practical tools and services
Own systems end to end, including architecture, implementation, deployment, monitoring, and continuous improvement
Contribute to shared platforms, tooling, and engineering practices that accelerate AI adoption across studios and development teams
Help ensure AI systems are reliable, performant, secure, and responsibly deployed in production environments

What we offer

Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance
401(k) with Company match, tuition reimbursement, charitable donation matching
Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave
Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others
Relocation assistance if required to move geographic locations

Fulltime

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions