CrawlJobs Logo

Full Stack Developer - Data Engineering & GenAI Applications

United States, New York · Job Posted January 02, 2026
Apply Position
Job Link Share

Job Description

Are you passionate about building scalable, intelligent systems that transform workflows? We're looking for a Full Stack Developer who thrives at the intersection of cloud engineering, data pipelines, and Generative AI. This role combines hands-on development with technical product management, enabling you to shape solutions that power automation at scale. The position is an Individual Contributor position but requires management by influence and technical leadership as a SME.

Job Responsibility

  • Design and develop Python-based backend services and React front-ends for enterprise-grade applications
  • Deploy and optimize solutions on Azure (AWS/GCP experience acceptable), leveraging containerization and CI/CD for daily build cycles
  • Build robust data engineering pipelines and integrate workflow automation tools like n8n and Replit
  • Incorporate Generative AI APIs (OpenAI, Azure OpenAI, Hugging Face) into business workflows for intelligent automation with Azure Fabric downstream
  • Collaborate cross-functionally in bi-weekly sprints, working closely with product managers, data scientists, and business stakeholders
  • Own technical roadmaps, write detailed technical memos, and communicate results clearly to both technical and non-technical audiences

Requirements

  • Strong experience in Python back-end development and React for front-end
  • Hands-on expertise with Azure cloud services (AWS/GCP experience acceptable)
  • Familiarity with data engineering frameworks (Airflow, Spark, etc) and workflow automation tools
  • Proven ability to integrate GenAI APIs into production workflows
  • Excellent communication skills, including the ability to own technical roadmaps and translate complex ideas into actionable plans
  • Previous experience owning the above items in production settings
  • Experience with Databases - SQL(SQL Server /Postgre SQL) & non SQL Cosmos DB
  • Experience with real-time gigabyte-volume data streams and stream processing
  • Bachelor's Degree in a technical field (Computer Science or Data Science preferred) or related disciplines such as ORIE, Electrical Engineering, Experimental Physics, Statistics, and Applied Mathematics

What we offer

  • Work on cutting-edge AI-driven automation projects impacting enterprise-scale workflows
  • Collaborate with a dynamic, cross-functional team in an agile environment
  • Drive innovation with tight feedback loops, cohort-based experimentation, and continuous delivery
  • Award-winning culture and ED&I initiatives
  • Meritocratic environment built on real values
  • Employee-led forums, training programs, and sustainability efforts

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

8 matching positions

Lead Software Engineer - Java Full Stack + GENAI

About this role: Wells Fargo is seeking a Lead Software Engineer In this role...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
July 19, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of Software Engineering experience as a JAVA full stack developer (Spring, Spring Boot, Oracle, and UI)
  • Bachelors in engineering or equivalent with above mentioned years of experience
  • Experience with GenAI tools – Co Pilot
  • Strong analytical, verbal, written communication, and interpersonal skills
  • Strong knowledge on Agile Product development methodologies and collaborating with multiple stakeholders to deliver the quality products in a timely manner
  • Hands on experience on building microservices using Spring boot, Kafka, REST APIs, ORM, SQL/NO-SQL Databases
  • Strong knowledge and hands-on on designing highly secure, scalable, resilient, and performant applications using Java/J2EE design patterns, 12-factor app principles, cloud-native patterns, and practices
  • Deep understanding of application performance management, memory management, multi-threading patterns and practices
  • Strong knowledge of foundational skills: Data Structures, Design Patterns, OOPs, SOLID principles, and secure coding practices
Job Responsibility
Job Responsibility
  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor
  • Fulltime
Read More
Arrow Right

Full Stack Developer

Barclays Services LLC seeks Full Stack Developer in Whippany, NJ (multiple posit...
Location
Location
United States , Whippany
Salary
Salary:
131997.00 - 135000.00 USD / Year
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

AI Full-stack Developer

As a Full-Stack Developer, you will be instrumental in developing an AI-powered ...
Location
Location
Romania , Brasov
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A University degree or advanced diploma in a software engineering-related discipline, preferably in Computer Science, or equivalent experience
  • At least 5 years of experience in a similar position
  • Strong application development experience with Java and Spring Boot
  • Experience with frontend-related frameworks and tools such as Angular
  • Hands-on experience or strong interest in LLMs (e.g., ChatGPT), prompt engineering, or model fine-tuning is considered a strong advantage
  • Basic to solid understanding of Generative AI concepts (GenAI fundamentals)
  • Solid experience with microservices architecture
  • Experience with unit testing and test automation
  • Working experience with Maven or similar build tools
  • Experience with messaging technologies (RabbitMQ, Kafka)
Job Responsibility
Job Responsibility
  • Development of microservices and integration with the existing platform
  • Implement a Java application using Spring Boot on backend side and Angular on frontend side, ensuring seamless compatibility, scalability, and fault tolerance
  • Implement data models, APIs, and microservices to integrate with existing systems and databases, enabling seamless data exchange and real-time updates
  • Develop algorithms and implement forecasting models to predict production volumes based on historical data, market demand, and other relevant factors
  • Create intuitive user interfaces to facilitate data input, visualization, and analysis, enabling production planners to make informed decisions
  • Collaborate with the testing team to ensure proper functionality, performance, and reliability of the application, conducting thorough unit and integration testing
  • Optimize application performance by identifying and resolving bottlenecks, fine-tuning code, and implementing caching mechanisms where applicable
  • Document the development process, including design decisions, technical specifications, and user guides, to ensure knowledge transfer and facilitate future maintenance
  • Contribute to the integration of Generative AI capabilities (e.g., ChatGPT-based solutions) into enterprise applications
  • Support LLM fine-tuning and prompt engineering activities to enhance domain-specific use cases (e.g., automation of business processes, document generation)
What we offer
What we offer
  • smooth integration and a supportive mentor
  • choose from Remote, Hybrid or Office work opportunities
  • projects have different working hours to suit your needs
  • sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • individual coaching sessions
  • accredited Coaching School
  • epic parties or themed events
Read More
Arrow Right

Senior Java Full Stack Developer

AquSag Technologies is looking for a Senior Java Full Stack Developer with deep ...
Location
Location
India , Noida
Salary
Salary:
Not provided
aqusag.com Logo
AquSag Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8 to 12 years of hands-on Java full stack development experience
  • Production delivery on enterprise-grade applications at scale
  • Experience working on client-facing programs in financial services, healthcare, or enterprise SaaS preferred
  • Prior experience in a contractual or staff augmentation model is a plus
  • Java 8/11/14/17/19, Kotlin, J2EE - strong fundamentals across modern versions
  • Spring Boot, Spring MVC, Spring WebFlux, Spring Data JPA, Spring Security, Spring Batch, Spring AI
  • Microservices architecture, RESTful APIs, GraphQL, SOAP
  • Hibernate, JPA, ORM optimisation, connection pooling
  • Apache Kafka, RabbitMQ, ActiveMQ, JMS for event-driven systems
  • OAuth 2.0, JWT, HTTPS/TLS, OWASP, GDPR compliance
Job Responsibility
Job Responsibility
  • Work directly inside the client's delivery pipeline, using their tools and processes
  • Work inside the client's tools and PM structure from day one
  • AI & GenAI integration
  • Client-facing role
  • Fulltime
Read More
Arrow Right

Full Stack Developer

As a Full Stack Developer in our Data & AI team, you will build and maintain sca...
Location
Location
United Kingdom , Marlow
Salary
Salary:
Not provided
srgtalent.com Logo
SRG
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Full Stack Engineer, GenAI

Our team is expanding to build practical, production-ready generative AI systems...
Location
Location
United States , Santa Monica; Sherman Oaks; Vancouver
Salary
Salary:
77500.00 - 143376.00 USD / Year
activision.com Logo
Activision
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
  • Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
  • Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
  • Experience of following TDD and passionate about clean code principles
  • Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
  • Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
  • experience in designing retrieval-augmented solutions is highly preferred
  • Solid understanding and experience of using data structures, algorithms and SQL
  • Able to independently work in fast paced and rapidly changing environment
  • Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning
Job Responsibility
Job Responsibility
  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality
  • Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
  • Consults with business clients to determine system functional specifications
  • Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
  • Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
  • recommends solutions
  • Leads system change process from requirements through implementation
  • provides user and operational support of application to business users
  • Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
  • Fulltime
Read More
Arrow Right

Principal Data Genai Platform Engineer - Senior Vice President

Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
  • 8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
  • Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
  • Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
  • Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
  • Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
  • Strong experience with event-driven architectures and streaming platforms (Kafka)
  • Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
  • Exceptional leadership, communication, stakeholder management, and decision-making capabilities
  • Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems
Job Responsibility
Job Responsibility
  • Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
  • Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
  • Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
  • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
  • Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
  • Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
  • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
  • Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
  • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
  • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations
  • Fulltime
Read More
Arrow Right