The Senior Full Stack Engineer will be a core contributor to the software development lifecycle, responsible for coding, unit testing, and implementing complex software designs for the IRS IRPPS modernization effort. This engineer must be adept at building ultra-high-throughput systems capable of handling massive spikes in data during the peak tax filing season.
Responsibilities
Develop, unit test, and implement full-stack application designs under the direction of the Architect/Technical Lead.
Build and optimize highly scalable, transactional services capable of meeting strict SLAs, specifically processing at least 8,800 records per second.
Develop microservices and APIs using Java 17/21, Spring Boot, and Informatica for data routing, validation, and posting.
Support 24x7 Operations and Maintenance (O&M) during peak filing seasons, providing incident response, defect remediation, and root-cause analysis.
Develop automated testing assets and ensure code complies with IRS security, engineering, and architecture standards.
Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models.
Locations (2)
Irving, Texas, United States
Las Colinas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
Senior Manager, AI Engineer/ Solutions & Engineering
Lead AI engineering initiatives to build and deploy LLM-powered solutions for commercial teams, overseeing evaluation, guardrails, and integration with enterprise systems.
Compensation
Princeton - NJ - US: $153,770 - $186,327
Responsibilities
Build and ship LLM-powered solutions
Define evaluation criteria and create golden datasets
Develop coding agents and manage tool integrations
Design context strategies and guardrails
Monitor quality, cost, and adoption
Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
Nice to have: Enterprise AI assistant platforms (Claude Desktop, ChatGPT Enterprise, Gemini Enterprise)
Nice to have: MCP servers
Nice to have: LangGraph
Nice to have: Multimodal and document-understanding workloads
The Artificial Intelligence (AI) Sr. Data Engineer will design, build, validate, and operationalize AI-enabled solutions that improve infrastructure, technology operations, and enterprise decision-making across hybrid cloud and on-premises environments.
Compensation
$140,500.00 - $205,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Responsibilities
Design, develop, test, validate, and deploy AI/ML-enabled capabilities that improve infrastructure reliability, capacity forecasting, observability, operational automation, and enterprise decision-making
Apply natural language processing, statistical modeling, supervised learning, unsupervised learning, embeddings, classification, anomaly detection, forecasting, and optimization techniques to complex enterprise data sets
Build reusable models, data pipelines, APIs, feature workflows, prompt libraries, automation components, dashboards, and integration patterns across technology, risk, operations, and platform domains
Support the full model lifecycle, including use case intake, data preparation, model training, model selection, validation readiness, deployment, monitoring, ongoing performance review, and remediation planning
Provide analytical and technical challenge to AI/ML solutions by assessing model design, assumptions, limitations, performance, controls, explainability, and implementation risks
Requirements
BA or BS in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, Artificial Intelligence, Business Analytics, Business Administration, or a related quantitative or technical field
Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
The Artificial Intelligence (AI) Sr. Data Engineer will design, build, validate, and operationalize AI-enabled solutions that improve infrastructure, technology operations, and enterprise decision-making across hybrid cloud and on-premises environments.
Compensation
$140,500.00 - $205,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Responsibilities
Design, develop, test, validate, and deploy AI/ML-enabled capabilities that improve infrastructure reliability, capacity forecasting, observability, operational automation, and enterprise decision-making
Apply natural language processing, statistical modeling, supervised learning, unsupervised learning, embeddings, classification, anomaly detection, forecasting, and optimization techniques to complex enterprise data sets
Build reusable models, data pipelines, APIs, feature workflows, prompt libraries, automation components, dashboards, and integration patterns across technology, risk, operations, and platform domains
Support the full model lifecycle, including use case intake, data preparation, model training, model selection, validation readiness, deployment, monitoring, ongoing performance review, and remediation planning
Provide analytical and technical challenge to AI/ML solutions by assessing model design, assumptions, limitations, performance, controls, explainability, and implementation risks
Requirements
BA or BS in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, Artificial Intelligence, Business Analytics, Business Administration, or a related quantitative or technical field
Senior Forward Deployed Engineer (FDE Lead) role requiring 14+ years of software engineering and technical leadership experience, with a focus on modern AI application patterns.
Responsibilities
Ownership of production systems and large-scale delivery initiatives
Building backend services, APIs, and scalable production systems
Operating across architecture, data, and platform layers
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field
Design, develop, enhance, and maintain secure, scalable, and user-focused web applications, combining front-end and back-end development responsibilities in a fast-paced, agile environment.
Compensation
The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD).
Responsibilities
Develop and maintain full stack web applications using technologies such as Angular, React, JavaScript, HTML, CSS, or Node.js
Design and implement responsive, accessible, and user-centered front-end interfaces
Build and maintain back-end services, APIs, and application components
Integrate applications with relational databases and other enterprise systems
Analyze requirements and the existing technical environment to support current functionality, future enhancements, and system scalability
Senior Full Stack EngineerNeweTelligent Group LLC · Lanham, US
Generative AI EngineerNewBright Vision Technologies · Remote, US+1 more
Senior Manager, AI Engineer/ Solutions & EngineeringNewBristol Myers Squibb · Princeton, US