Full stack Java Developer with AI

Synechron

New Jersey

On-site

USD 120,000 - 130,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Offices worldwide
Paid annual leave
Insurance plan
Retirement plan
Commuter benefits
Udemy for Business
Training opportunities
Mentoring
Global projects

Job summary

Synechron is seeking a Senior Software Engineer - Full Stack Java to design, develop, and support enterprise applications that blend traditional full‑stack development with AI capabilities. You will collaborate with stakeholders, product owners, data scientists, and architects to build scalable, secure software.

You will use Java, Spring Boot, React, Microservices, REST APIs, Python, Generative AI, LLMs, RAG, vector databases, and cloud technologies to deliver innovative solutions that improve

Qualifications

  • 7+ years of software engineering experience with full-stack Java.
  • Hands-on with Java, Spring Boot, Microservices, REST APIs, Hibernate, Spring Security.
  • Experience integrating Generative AI and LLMs into enterprise apps.
  • Knowledge of embeddings, vector databases, semantic search, and prompt engineering.
  • Cloud platforms: AWS/Azure/GCP; containers with Docker/Kubernetes; CI/CD tooling.
  • Strong SDLC, Agile/Scrum, and collaboration with data scientists and architects.

Responsibilities

  • Design and develop scalable full-stack applications using Java, Spring Boot, React, and Microservices.
  • Build AI-enabled business apps by integrating Generative AI and LLMs into workflows.
  • Develop intelligent assistants, chatbots, and AI-powered automation solutions.
  • Implement RAG-based solutions leveraging enterprise knowledge repositories and vector databases.
  • Design RESTful APIs and maintain security, scalability, and performance.
  • Collaborate with AI Architects and Data Scientists to deploy ML/GenAI models.
  • Create prompts, AI workflows, and agent interactions; participate in Agile ceremonies.
  • Analyze requirements, write clean code, conduct reviews, and mentor juniors.
  • Integrate with cloud services, databases, APIs, and third-party platforms; support deployments.

Skills

Java
Spring Boot
React
Microservices
REST APIs
Hibernate
Spring Security
Generative AI
LLMs
RAG
Vector Databases
Cloud
Docker
Kubernetes
CI/CD
Agile/Scrum
SDLC
DevOps
AI Governance
SQL / NoSQL

Tools

LangChain
LangGraph
Semantic Kernel
CrewAI
AutoGen
Oracle
PostgreSQL
SQL Server
MySQL
MongoDB
DynamoDB
AWS
Azure
GCP

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

As aSenior Software Engineer - Full Stack Java, your challenge is to design, develop, and support next-generation enterprise applications that seamlessly integrate traditional full-stack development with Artificial Intelligence and Generative AI capabilities. You will collaborate with business stakeholders, product owners, data scientists, architects, and engineering teams to build scalable, secure, and intelligent applications. Leveraging expertise in Java, Spring Boot, React, Microservices, REST APIs, Python, Generative AI, LLMs, RAG, Vector Databases, and Cloud Technologies, you will deliver innovative solutions that enhance user experiences and drive business outcomes.

Additional Information

*The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New jersey is $120k - $130k/year & benefits (see below).

The Role
Responsibilities
  • Minimum 7+ years of software engineering experience with strong Full Stack Java development expertise.
  • Hands-on experience with Java, Spring Boot, Microservices, REST APIs, Hibernate, and Spring Security.
  • Experience building enterprise-scale web applications using modern software engineering principles.
  • Hands-on experience integrating Generative AI solutions into enterprise applications.
  • Strong understanding of Large Language Models (LLMs) including OpenAI, Azure OpenAI, Gemini, Claude, or Llama.
  • Experience developing AI-powered applications using frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures.
  • Knowledge of embeddings, vector databases, semantic search, and prompt engineering techniques.
  • Strong experience with relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL.
  • Experience working with NoSQL databases such as MongoDB or DynamoDB.
  • Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).
  • Knowledge of containerization technologies including Docker and Kubernetes.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Strong understanding of Agile/Scrum methodologies and Software Development Lifecycle (SDLC).
  • Excellent analytical, debugging, problem-solving, and communication skills.
  • Banking and Financial Services experience is highly preferred.
Requirements
  • Design and develop scalable full-stack applications using Java, Spring Boot, React, and Microservices architecture.
  • Build AI-enabled business applications by integrating Generative AI and Large Language Models into enterprise workflows.
  • Develop intelligent assistants, chatbots, and AI-powered automation solutions to improve business productivity.
  • Implement RAG-based solutions leveraging enterprise knowledge repositories and vector databases.
  • Design and develop RESTful APIs and Microservices while ensuring security, scalability, and performance.
  • Collaborate with AI Architects and Data Scientists to deploy machine learning and Generative AI models within enterprise applications.
  • Create and optimize prompts, AI workflows, and agent interactions to improve response quality and business relevance.
  • Participate actively in Agile ceremonies including Sprint Planning, Backlog Grooming, Sprint Reviews, Retrospectives, and Daily Standups.
  • Analyze business requirements and translate them into technical designs and implementation plans.
  • Write clean, maintainable, and testable code following engineering best practices and coding standards.
  • Perform code reviews and mentor junior developers to maintain application quality and promote knowledge sharing.
  • Integrate applications with cloud services, databases, APIs, and third-party platforms.
  • Support SIT, UAT, production deployments, and post-release validation activities.
  • Troubleshoot and resolve application and AI-related issues across environments.
  • Contribute to architecture discussions, technology evaluations, and modernization initiatives.
  • Ensure AI governance, security, and compliance standards are incorporated into all solution designs.
We offer:
  • A highly competitive compensation and benefits package.
  • A multinational organization with 57 offices in 22 countries and the possibility to work abroad.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & paternity leave plans.
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
  • Retirement savings plans.
  • A higher education certification policy.
  • Commuter benefits (varies by region).
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.
S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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