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3 jobs found

Today

Gen AI Engineer with Java & Microservices

American IT Systems Atlanta, GA

Atlanta, GA

Today

Full time Backend Developer Artificial Intelligence AWS

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Job Description

This role focuses on designing and implementing production-ready generative AI services that connect Java-based systems with modern LLM capabilities. You will build scalable microservices, deliver AI-enabled interfaces via REST and event-driven patterns, and support evaluation, monitoring, testing, and documentation within an agile delivery environment.

Responsibilities

Design, develop, and deploy production-grade Java microservices (for example using Spring Boot) that integrate with large language models and AI/ML platforms.
Architect and implement RESTful APIs and event-driven communication to expose generative AI capabilities to internal and external clients.
Build prompt engineering strategies, including prompt templating, chaining, and dynamic context management, to optimize outputs for business use cases.
Develop Retrieval-Augmented Generation (RAG) capabilities, integrating vector databases to produce grounded, context-aware responses from proprietary knowledge sources.
Create resilient integration layers for model inference, including retry logic, timeouts, rate limiting, and fallback mechanisms to support high availability.
Implement asynchronous processing and streaming responses for efficient handling of long-running inference workflows.
Deliver monitoring, logging, and observability to track token usage, latency, and model performance.
Partner with data scientists and ML engineers to translate experimental models into production-ready code, with a focus on architecture and performance optimization.
Develop and execute unit, integration, and load tests to ensure code quality and system reliability under stress.
Evaluate new generative AI models, libraries, and tools by producing technical assessments and recommendations.
Write technical documentation and maintain internal AI service frameworks and shared libraries.
Stay current on the GenAI landscape and propose improvements to architecture and development practices.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
5+ years of professional software development experience, emphasizing object-oriented programming and enterprise application development.
Expert-level Java skills, including concurrency, functional programming patterns, and strong error handling.
Hands-on experience with microservices architecture, including service discovery, API gateways, and distributed tracing.
Strong knowledge of Spring Boot or a comparable Java microservices framework, including testing and configuration.
Demonstrated experience integrating third-party AI/LLM APIs (such as OpenAI, Anthropic, or open-source models) in a server-side environment.
Solid understanding of cloud platforms (AWS, GCP, or Azure) and experience with Docker and Kubernetes is highly desirable.
Proficiency with SQL and NoSQL databases, plus practical experience using vector databases (for example Pinecone, Weaviate, pgvector) for semantic search.
Working knowledge of observability practices, including logging frameworks, metrics collection, and monitoring dashboards.
Strong problem-solving, debugging, and analytical abilities, with a proactive and self-directed work style.
Effective communication skills for collaboration and the ability to explain complex technical concepts to non-technical stakeholders.
Interest in learning new technologies, especially in generative AI and machine learning engineering.

Technologies

Java, Spring Boot
RESTful APIs, microservices architecture
OpenAI, Anthropic
Service discovery, API gateways, distributed tracing
AWS, GCP, Azure
Docker, Kubernetes
SQL, NoSQL
Vector databases: Pinecone, Weaviate, pgvector
Retrieval-Augmented Generation (RAG)

Location

Atlanta, GA (onsite)

Minimum Experience

5 years

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4d ago

Trading & Analytics Model Developer - Technical Lead

Freddie Mac McLean, VA

McLean, VA

4d ago

$147k - $221k/yr Full time Backend Developer APIs Application Security

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Job Description

Freddie Mac is hiring a Trading Analytics Development Technical Lead to support its Investments and Capital Markets (I&CM) trading and analytics development team in Virginia. This is a hands-on technical leadership role focused on building and modernizing full-stack applications and services that support production delivery.

Working onsite in McLean, VA, you will lead engineering execution across a Java and Python technology stack, influence technical direction, and partner with product and architecture stakeholders to deliver secure, reliable, and maintainable solutions.

Role responsibilities

Develop and maintain software using Java and Python in alignment with software engineering best practices.
Make and shape technical decisions, mentor developers, resolve engineering blockers, and coordinate with engineering managers to support delivery.
Provide hands-on technical direction for full-stack applications, APIs, microservices, and integration services, reinforcing discipline across design, development, testing, deployment, observability, and production readiness.
Partner with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional technology teams to align technical priorities, manage dependencies, and deliver business outcomes.
Drive design and implementation of Java-based microservices, REST APIs, front-end applications, and integration services using modern technologies such as Java, Spring Boot, AWS, Angular or React, SQL, relational databases, CI/CD pipelines, and automated testing frameworks.
Build proofs of concept, demos, and prototypes to assess emerging technologies and validate new ideas.
Establish and reinforce engineering standards for scalable design, code quality, automated testing, peer reviews, deployment discipline, application security, and operational readiness.
Ensure solutions account for compliance, auditability, security, resiliency, accessibility, and production support considerations.
Improve production support practices through incident triage, root-cause analysis, observability, recovery patterns, and continuous improvement of application and platform reliability.
Mentor developers through design reviews, code reviews, technical problem solving, implementation guidance, and knowledge sharing.

Required qualifications

8+ years of related software engineering or technology delivery experience, including demonstrated technical leadership guiding teams through complex application delivery.
Bachelor’s degree in computer science, information systems, or a related technical discipline; advanced degree preferred.
Demonstrated experience leading software development across full-stack applications, APIs, microservices, platform modernization, integration services, and production enhancements.
Hands-on or technical leadership experience with Java, Spring Boot, Spring Security, Spring Batch, Spring Data, REST APIs, microservices architecture, Angular or React, SQL, relational databases, CI/CD pipelines, and automated testing frameworks.
Hands-on experience with Python application development using Pandas, Django, Flask, and Pytests.
Strong foundation in full-stack engineering, application architecture, API design, enterprise integration patterns, application security, performance and resiliency, and delivery of scalable digital products.
Experience establishing and applying engineering standards including scalability, code quality, automated testing, peer reviews, deployment discipline, performance optimization, compliance, auditability, and production readiness.
Experience supporting production reliability through incident triage, root-cause analysis, observability, resiliency improvements, and operational readiness practices.
Strong technical leadership skills: mentoring, coaching, peer review, influencing without direct authority, and practical engineering guidance.
Ability to coordinate technical dependencies with vendors, Product Owners, architecture teams, business stakeholders, and internal engineering teams.
Knowledge of automated CI/CD processes and DevOps methodology, including tools such as Jenkins, SonarQube, Docker, Artifactory, and GitHub Copilot.

Technologies

Java, Python, Pandas, Django, Flask, Pytests
Spring Boot, Spring Security, Spring Batch, Spring Data
REST APIs, microservices architecture
Angular, React, SQL, relational databases
CI/CD pipelines, automated testing frameworks, AWS
Jenkins, SonarQube, Docker, Artifactory, GitHub Copilot

Compensation and benefits

Salary: USD 147,000 - 221,000 per year
Comprehensive total rewards package including competitive compensation and market-leading benefit programs
Annual incentive program

Keys to success

Promote collaboration and a culture of integrity and professionalism.
Work with accountability and pride.
Bring hands-on technical strength.
Communicate clearly and drive progress with a focus on getting the job done.
Stay agile and open-minded to embrace new technologies.
Take on a wide range of tasks to keep momentum moving forward.

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7d ago

Senior Risk Analytics Software Engineer - AVP

Barclays Whippany, NJ

Whippany, NJ

7d ago

$120k - $175k/yr Full time Backend Developer Python Senior

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Job Description

Barclays is seeking a Senior Risk Analytics Software Engineer - AVP to design, build, test, and support technology solutions focused on Risk Analytics, Market Risk, and regulatory initiatives. The role operates in an Agile environment with an emphasis on scalable, secure, high-performance software.

Role Purpose

The position exists to design, develop, and improve software using a range of engineering methodologies, enabling business, platform, and technology capabilities for customers and colleagues.

Key Responsibilities

Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring the resulting code is scalable, maintainable, and optimized for performance.
Collaborate with product managers, designers, and other engineers to define software requirements, devise solution strategies, and support seamless integration aligned to business objectives.
Participate in peer collaboration and code reviews, promoting code quality and knowledge sharing across the team.
Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Apply effective unit testing practices to support proper code design, readability, and reliability.
Advise and influence decision-making through contributions to policy development and operational effectiveness, working closely with other functions and business divisions.
Lead a team executing complex tasks where the work impacts the whole business function, including setting objectives and coaching employees, conducting performance appraisal relative to objectives, and determining reward outcomes.
Demonstrate the leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, and Develop others (for people leader roles).
For individual contributor arrangements, lead collaborative assignments, guide team members through structured work, identify when additional specialization is needed, and propose new directions for assignments or projects using cross-functional methodologies or practices.
Consult on complex issues and provide advice to people leaders to support resolution of escalated issues.
Identify opportunities to mitigate risk and develop new policies or procedures that support the control and governance agenda.
Own risk management and strengthening of controls related to the work performed.
Engage in complex data analysis using information from multiple sources, internal and external, to solve problems creatively and effectively.
Communicate complex information, including sensitive information or content that is difficult to convey based on audience needs, and influence stakeholders to achieve outcomes.

Required Experience and Skills

Experience designing, developing, and maintaining analytics and reporting platforms that support data-driven business and risk management decisions.
Hands-on experience building data transformation, enrichment, and workflow orchestration solutions for scalable data pipelines.
Strong understanding of Object-Oriented Programming (OOP) principles and experience with frameworks and tools including FastAPI, Spring Boot, and Apache Airflow.
Proven programming expertise in Python and/or Java, Spark, SQL, Hadoop, Pandas, NumPy, Unix/Linux environments, and PowerShell scripting.
Experience with software testing and development best practices, including PyTest, unit testing, and Python package management tools such as pip, Poetry, and Conda.

Highly Valued Skills

Considerable knowledge of risk management principles and regulatory frameworks, including Value at Risk (VaR), Fundamental Review of the Trading Book (FRTB), and Basel standards.
Experience working with cloud and data platforms such as AWS, Azure, Databricks, and Snowflake.
Solid understanding of data governance, data quality management, regulatory controls, and compliance requirements.

Technology Stack

FastAPI, Spring Boot, Apache Airflow
Python, Java, Spark, SQL, Hadoop, Pandas, NumPy
Unix/Linux, PowerShell
PyTest, pip, Poetry, Conda
AWS, Azure, Databricks, Snowflake

Location

Whippany, NJ (onsite)

Compensation

USD 120,000 - 175,000 per year (base salary). The stated range includes only base salary and does not include other compensation or benefits.

Benefits

Eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.
This position is eligible for an incentive award.

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Spring Boot Data Jobs

Gen AI Engineer with Java & Microservices

Trading & Analytics Model Developer - Technical Lead

Senior Risk Analytics Software Engineer - AVP

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