Full Stack Developer (Gen AI)

Full Stack Development - Full Stack & Generative AIDuration: Long-Term ContractLocation: Hybrid - Rockville, MDInterview Process: In-Person InterviewResponsibilitiesFull Stack DevelopmentDesign and develop scalable full stack applications with Angular frontends and microservices-based backendsBuild performant, secure RESTful and GraphQL APIs using modern backend frameworks (Java/Spring Boot, Python/FastAPI)Develop responsive, accessible frontends using Angular and TypeScriptCollaborate with data engineers, security teams, and business analysts to translate regulatory requirements into technical solutionsResponsibly adopt and leverage AI-assisted development tools while maintaining code quality standards and information security hygieneGenerative AI IntegrationImplement Generative AI solutions including LLM integration, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelinesCollaborate with data science teams to integrate ML models and implement model serving infrastructureEnsure responsible AI practices including human oversight and bias monitoringCI/CD & InfrastructureDesign and maintain CI/CD pipelines using tools such as JenkinsImplement infrastructure-as-code and containerized deployments (Docker, Kubernetes)Integrate automated testing (unit, integration, E2E) and security principles into delivery pipelinesTechnical LeadershipProvide technical guidance and mentorship to junior engineers through code reviews and pair programmingLead code reviews, establish best practices, and contribute to architectural decisionsEnsure all systems meet technology compliance, audit, cybersecurity, and data governance standardsRequired QualificationsBachelor's degree in Computer Science, Software Engineering, or related field5-7 years of professional software engineering experienceStrong proficiency in backend languages: Python and/or Java3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx)Experience designing and implementing RESTful APIs and/or GraphQL servicesHands-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) databasesSolid 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 modelsPreferred QualificationsExperience in regulatory or financial services environmentExperience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputsExperience with LangChain, LlamaIndex, or similar LLM orchestration frameworksBackground 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 monitoringExperience with microservices patterns (circuit breakers, service mesh, distributed tracing)Experience with feature flagging, canary deployments, or progressive delivery strategiesContributions to open-source projects or technical publications in AI/ML domainsKey CompetenciesEnd-to-end ownership of features from UI to databaseStrong debugging and troubleshooting skills across the full technology stackAbility to balance business needs, technical constraints, and scalabilityExcellent collaboration and communication skills with cross-functional teamsStrong commitment to automated testing and code qualityRapid adoption of new technologies, particularly in AI/ML landscape

Created: 2026-05-16