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Job Details

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)

Summary

About the Role

Turning Point Global Solutions (TurningPoint) is seeking a Full-Stack Software Engineer to build and support mission-critical applications on a small, forward-deployed team serving a federal customer. In this role, you will leverage AI-assisted development tools to design, implement, test, debug, and document software while integrating advanced Generative AI capabilities into production systems. You will play a key role in ensuring all delivered applications meet strict federal standards for accessibility, security, compliance, and quality.

Key Responsibilities

Full-Stack & AI Engineering

Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integrations, and workflow automations.
Develop interfaces that strictly adhere to Section 508 and WCAG 2.1 AA accessibility requirements.
Design and implement LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, vector search, and agentic workflows using Model Context Protocol (MCP) with human-in-the-loop (HITL) oversight.
Leverage approved AI-assisted development tools to design, write, refactor, debug, test, and document code.

Security, Testing & Evaluation (TEVV)

Critically review and validate AI-generated code for accuracy, security, maintainability, and compliance with project requirements and federal standards.
Apply secure development practices aligned with customer requirements, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework (AI RMF).
Execute functional, performance, and adversarial testing (including prompt injection and jailbreak testing) and evaluate AI outputs for accuracy, hallucination, bias, and safety.

DevSecOps, MLOps & Operations

Build and maintain CI/CD and MLOps pipelines integrated with automated security scans and Test, Evaluation, Verification, and Validation (TEVV) gates.
Monitor production applications and AI capabilities, troubleshoot technical issues, and support incident response, system maintenance, and helpdesk escalations.
Collaborate within Agile sprints, participate in peer code and prompt reviews, and contribute to Responsible AI and compliance documentation.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Core Experience: 5+ years of hands-on full-stack software development experience, including building and supporting production-grade applications.
Generative AI Experience: 1+ year of experience delivering Generative AI capabilities, such as LLM integrations, RAG pipelines, embeddings, vector databases, or AI workflow orchestration.
Technical Stack: Strong proficiency in Python and JavaScript/TypeScript, with hands-on experience in modern front-end frameworks (React or Angular), RESTful APIs, and both relational and NoSQL databases.
AI-Assisted Development: Demonstrated experience using AI coding assistants to write, debug, refactor, test, and document software, paired with the ability to critically audit and validate AI-generated code.
Cloud & DevOps: Experience with at least one major cloud platform (AWS, Azure, or Google Cloud), containerized deployments using Docker, CI/CD pipelines, and automated security scanning tools.
Quality & Compliance: Experience with automated testing, AI output evaluation, secure coding practices, and accessibility compliance (Section 508 / WCAG 2.1 AA).
AI Governance: Familiarity with LLM security risks, human-in-the-loop controls, and federal security and Responsible AI guidelines.
Development Practices: Proficiency with Git version control, peer code reviews, and Agile development methodologies.
Clearance & Eligibility: Ability to obtain a favorable federal background investigation and meet the customer's citizenship or work authorization requirements.
Location: Ability to work onsite in Washington, DC, three (3) days per week.

Preferred Qualifications

7+ years of software development experience, including prior work supporting federal agency programs.
Hands-on experience with Agentic AI / MCP tooling, AI red-teaming/security testing, federal Authority to Operate (ATO) documentation, and AWS Bedrock or Amazon SageMaker.
Industry-recognized Generative AI or Machine Learning certifications (e.g., AWS, Azure AI, Google Cloud, NVIDIA, or CAIP).
Active or prior favorably adjudicated federal government background investigation (e.g., Public Trust or Security Clearance).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90994547
Position Id: 9128636
Posted 2 hours ago

Company Info

About Unisoft Technology Inc

Unisoft Technology Inc. is a SBA 8(a), MBE, CMMI L3 certified company specializing in custom IT solutions and offering a complete array of integrated software / hardware expertise and services. Unisoft’s primary goal is to provide Information Technology services to Federal Government agencies and Private Sector clients.

Unisoft is involved in every stage of the Software Development Life Cycle (SDLC), which includes methodologies to architect, design, develop, deploy, and maintain applications and database software systems. Our capabilities encompass all aspects of implementation and operation, including gathering systems and business requirements, developing functional specifications, system designing, and customizing software to fit specific client needs.

Job Details

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)

Summary

About the Role

Key Responsibilities

Full-Stack & AI Engineering

Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integrations, and workflow automations.
Develop interfaces that strictly adhere to Section 508 and WCAG 2.1 AA accessibility requirements.
Design and implement LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, vector search, and agentic workflows using Model Context Protocol (MCP) with human-in-the-loop (HITL) oversight.
Leverage approved AI-assisted development tools to design, write, refactor, debug, test, and document code.

Security, Testing & Evaluation (TEVV)

Critically review and validate AI-generated code for accuracy, security, maintainability, and compliance with project requirements and federal standards.
Apply secure development practices aligned with customer requirements, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework (AI RMF).
Execute functional, performance, and adversarial testing (including prompt injection and jailbreak testing) and evaluate AI outputs for accuracy, hallucination, bias, and safety.

DevSecOps, MLOps & Operations

Build and maintain CI/CD and MLOps pipelines integrated with automated security scans and Test, Evaluation, Verification, and Validation (TEVV) gates.
Monitor production applications and AI capabilities, troubleshoot technical issues, and support incident response, system maintenance, and helpdesk escalations.
Collaborate within Agile sprints, participate in peer code and prompt reviews, and contribute to Responsible AI and compliance documentation.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Core Experience: 5+ years of hands-on full-stack software development experience, including building and supporting production-grade applications.
Generative AI Experience: 1+ year of experience delivering Generative AI capabilities, such as LLM integrations, RAG pipelines, embeddings, vector databases, or AI workflow orchestration.
Technical Stack: Strong proficiency in Python and JavaScript/TypeScript, with hands-on experience in modern front-end frameworks (React or Angular), RESTful APIs, and both relational and NoSQL databases.
AI-Assisted Development: Demonstrated experience using AI coding assistants to write, debug, refactor, test, and document software, paired with the ability to critically audit and validate AI-generated code.
Cloud & DevOps: Experience with at least one major cloud platform (AWS, Azure, or Google Cloud), containerized deployments using Docker, CI/CD pipelines, and automated security scanning tools.
Quality & Compliance: Experience with automated testing, AI output evaluation, secure coding practices, and accessibility compliance (Section 508 / WCAG 2.1 AA).
AI Governance: Familiarity with LLM security risks, human-in-the-loop controls, and federal security and Responsible AI guidelines.
Development Practices: Proficiency with Git version control, peer code reviews, and Agile development methodologies.
Clearance & Eligibility: Ability to obtain a favorable federal background investigation and meet the customer's citizenship or work authorization requirements.
Location: Ability to work onsite in Washington, DC, three (3) days per week.

Preferred Qualifications

7+ years of software development experience, including prior work supporting federal agency programs.
Hands-on experience with Agentic AI / MCP tooling, AI red-teaming/security testing, federal Authority to Operate (ATO) documentation, and AWS Bedrock or Amazon SageMaker.
Industry-recognized Generative AI or Machine Learning certifications (e.g., AWS, Azure AI, Google Cloud, NVIDIA, or CAIP).
Active or prior favorably adjudicated federal government background investigation (e.g., Public Trust or Security Clearance).

Dice Id: 90994547
Position Id: 9128636
Posted 2 hours ago

Company Info

About Unisoft Technology Inc

Senior AI/ML Engineer AI Platform & RAG Systems

Baltimore, Maryland

•

Today

Job Summary Seeking a Senior AI/ML Engineer with strong experience in building scalable AI platforms, retrieval-augmented generation (RAG) systems, and production-grade ML/data pipelines for enterprise environments. The ideal candidate will have deep expertise in AI/ML engineering, cloud-native architecture, data engineering, and deploying secure, scalable solutions into production. Key Responsibilities Design and build multi-tenant AI platforms, including agentic workflows, RAG services, and LL

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Contract, Third Party

Depends on Experience

Full-Stack Software Engineer (Generative AI)

Skills

Summary

Dice Job Match Score™

Deva Raj

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Full-Stack Software Engineer (Generative AI)

Unisoft Technology Inc

Job Details

Skills

Summary

Company Info

About Unisoft Technology Inc

Dice Job Match Score™

Deva Raj

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