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

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

As a Full Stack Developer in our Data & AI team, you will build and maintain sca...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

2+ years of writing clear and reliable PySpark code
Proficiency with React, JavaScript, TypeScript, or comparable frontend technologies, plus backend expertise in distributed computing frameworks
2+ years of experience in product design, UI/UX optimization, feature scoping end-to-end product, and system architecture such as design patterns, reusability, reliability and scaling of existing applications/systems
Adept at implementing solutions using popular analytics tools (like pandas, numpy, matplotlib, MLFlow) and agent orchestration frameworks like Langchain, Langsmith, LlamaIndex, etc.
Deep understanding of operationalizing GenAI and agentic frameworks across backend and frontend
MLOps and LLMOps experience is a plus
At least 2+ years building and deploying full-stack, data-centric apps (preferably in Palantir Foundry)
Experience in Python/PySpark for backend (70%) and frontend like TypeScript, React etc (30%)
Experience translating backend outputs into usable interfaces
Experience in LLM orchestration/agentic frameworks

Job Responsibility

Develop, and maintain scalable backend data pipelines and transformation workflows using PySpark in Palantir Foundry
Design and implement robust feature engineering processes, and ML model integration, enabling clean, reliable, and auditable datasets for data science and AI applications
Implement MLOps and DataOps best practices for model lifecycle management, monitoring, deployment, and governance
Collaborate closely with engineering, product, and business teams to translate complex analytics and AI requirements into backend processes and data products
Develop self-serve analytics solutions and interactive dashboards using TypeScript (and frameworks such as React), translating backend data architecture into accessible insights for business and data users
Contribute to prompt engineering and operationalizing generative AI/LLM-driven features within backend and frontend workflows
Continuously expand your expertise in cloud data infrastructure, Foundry's ontology-driven approach, and best-practice enterprise data management

Fulltime

Lead Full Stack Engineer

We're looking for a Lead Full Stack Engineer who thrives at the intersection of ...

Location

Salary:

Not provided

Wingify

Expiration Date

Until further notice

Requirements

6–10 years of experience in full-stack development roles with a product-focused mindset
Strong proficiency in two or more backend languages: PHP, Node.js, Golang, Python, Java
Expert in JavaScript/TypeScript with deep knowledge of modern frameworks—React or Angular preferred
Demonstrated experience integrating GenAI APIs (OpenAI, Langflow, custom GPT agents) in real-world applications
Strong understanding of software architecture, system design, and microservices
Solid DevOps exposure: Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins)
Proficient in SQL and NoSQL databases
In-depth knowledge of browser internals, rendering optimization, and frontend performance strategies
Experience with TDD, code quality enforcement, and unit test coverage

Job Responsibility

Architect, design, and deliver scalable full-stack features and systems end-to-end—across backend services, APIs, and frontend interfaces
Build AI-integrated systems (e.g., NLP automation, GenAI assistants, recommendation engines) using LLMs and GenAI APIs in production environments
Mentor and lead a high-performance team of engineers, establishing best practices in architecture, testing, and DevOps
Own performance, maintainability, and scalability across your projects and ensure long-term code health
Collaborate cross-functionally with Product, Design, and Data teams to align on product direction and technical strategy
Stay hands-on with code, lead architectural decisions, and contribute to critical reviews and deployments

What we offer

Build software that blends product and intelligence
Work in a culture where engineers shape product direction
Experiment with bleeding-edge AI and GenAI tech
Join a team that prioritizes impact, autonomy, and growth

Fulltime

Specialist Software Engineer

As a Full Stack Developer at Amgen India, you will be responsible for developing...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

4–9 years of full-stack development experience
Strong proficiency in JavaScript / TypeScript, React JS, Node JS, Python / Java
Experience with RESTful APIs, GraphQL, and microservices architectures
Hands-on experience with cloud-native development (AWS preferred)
Understanding of secure coding and performance optimization
Proficiency in version control (Git) and DevOps practices

Job Responsibility

Build and maintain end-to-end web and data applications that visualize AI/ML outputs
Design and develop frontend (React JS) and backend (Python / Node / Java) components
Integrate APIs and machine learning models developed within the lab
Work with Amgen’s UX team to ensure alignment with brand and usability standards
Collaborate with data engineers for API design, data flow, and pipeline integration
Implement CI/CD pipelines, containerized deployments, and automated testing
Maintain documentation, reusable components, and version control practices

Fulltime

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
8+ years of professional software development experience with at least one of the following: C#, C++, or Java
8+ years of professional experience building cloud applications, preferably full stack
3+ years of experience with GenAI, LLMs, or agentic systems
Experience designing and implementing enterprise-scale services
Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
Experience in agentic AI development and leveraging AI tools for development
Verbal, written, and cross-team collaboration skills

Job Responsibility

Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

Fulltime

Full Stack Developer - Data Engineering & GenAI Applications

Phaidon International

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 02, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Full Stack Developer - Data Engineering & GenAI Applications

Principal Engineer, GenAI Innovation

Senior Software Engineer - GenAI, LLM

Senior Software Engineer - GenAI, LLM

Data Scientist Specialist