What are the responsibilities and job description for the Mid Level Software Engineer, Full Stack and Generative AI position at Software Guidance & Assistance, Inc. (SGA, Inc.)?
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
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 EEO page to request an accommodation or assistance regarding our policy.
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
- 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
- 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
- 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
- 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
- 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
- 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 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 EEO page to request an accommodation or assistance regarding our policy.
Salary : $70 - $83