Mid Level Software Engineer, Full Stack and Generative AI

Rockville, MD, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
On-site
USD $70.00 - 83.00 per hour
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Job Details

Skills

  • Spring Framework
  • Information Security
  • Generative Artificial Intelligence (AI)
  • Data Science
  • Continuous Integration
  • Continuous Delivery
  • Jenkins
  • IT Management
  • Mentorship
  • Pair Programming
  • Regulatory Compliance
  • Auditing
  • Cyber Security
  • Data Governance
  • Computer Science
  • Software Engineering
  • Python
  • Java
  • AngularJS
  • TypeScript
  • RESTful
  • GraphQL
  • API
  • Amazon S3
  • Remote Desktop Services
  • Amazon RDS
  • Docker
  • Kubernetes
  • PostgreSQL
  • NoSQL
  • MongoDB
  • Amazon DynamoDB
  • Software Security
  • OWASP
  • Management
  • Prompt Engineering
  • Financial Services
  • Workflow
  • LangChain
  • LlamaIndex
  • Orchestration
  • Vector Databases
  • Messaging
  • Apache Kafka
  • Amazon Web Services
  • Amazon SQS
  • Amazon Kinesis
  • Grafana
  • Microservices
  • Open Source
  • Publications
  • UI
  • Database
  • Debugging
  • Scalability
  • Collaboration
  • Communication
  • Automated Testing
  • Artificial Intelligence
  • Machine Learning (ML)
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Mid Level Software Engineer, Full Stack and Generative AI for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD.

Responsibilities :
Full Stack Development
  • Design and develop scalable full stack applications with Angular frontends and microservices-based backends
  • Build performant, secure RESTful and GraphQL APIs using modern backend frameworks (Java/Spring Boot, Python/FastAPI)
  • Develop responsive, accessible frontends using Angular and TypeScript
  • Collaborate with data engineers, security teams, and business analysts to translate regulatory requirements into technical solutions
  • Responsibly adopt and leverage AI-assisted development tools while maintaining code quality standards and information security hygiene

Generative AI Integration
  • Implement Generative AI solutions including LLM integration, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines
  • Collaborate with data science teams to integrate ML models and implement model serving infrastructure
  • Ensure responsible AI practices including human oversight and bias monitoring

CI/CD & Infrastructure
  • Design and maintain CI/CD pipelines using tools such as Jenkins
  • Implement infrastructure-as-code and containerized deployments (Docker, Kubernetes)
  • Integrate automated testing (unit, integration, E2E) and security principles into delivery pipelines

Technical Leadership
  • Provide technical guidance and mentorship to junior engineers through code reviews and pair programming
  • Lead code reviews, establish best practices, and contribute to architectural decisions
  • Ensure all systems meet technology compliance, audit, cybersecurity, and data governance standards
Required Skills :
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5-7 years of professional software engineering experience
  • Strong proficiency in backend languages: Python and/or Java
  • 3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx)
  • Experience designing and implementing RESTful APIs and/or GraphQL services
  • Hands-on experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB) and containerization (Docker, Kubernetes)
  • Proficiency with both relational (PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases
  • Solid understanding of application security principles (OWASP Top 10, secrets management, least-privilege access)
  • 1+ years working with LLMs (OpenAI, Anthropic, AWS Bedrock), prompt engineering, or embedding models
Preferred Skills :
  • Experience in regulatory or financial services environment
  • Experience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputs
  • Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks
  • Background implementing RAG architectures with vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
  • Familiarity with event-driven architectures and messaging systems (Kafka, AWS SQS/SNS, Kinesis)
  • Exposure to observability tooling (Datadog, Grafana, CloudWatch) including AI/ML model monitoring
  • Experience with microservices patterns (circuit breakers, service mesh, distributed tracing)
  • Experience with feature flagging, canary deployments, or progressive delivery strategies
  • Contributions to open-source projects or technical publications in AI/ML domains
Key Competencies:
  • End-to-end ownership of features from UI to database
  • Strong debugging and troubleshooting skills across the full technology stack
  • Ability to balance business needs, technical constraints, and scalability
  • Excellent collaboration and communication skills with cross-functional teams
  • Strong commitment to automated testing and code quality
  • Rapid adoption of new technologies, particularly in AI/ML landscape
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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: sgainc
  • Position Id: 26-01256
  • Posted 3 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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