Mid Level Software Engineer, Full Stack and Generative AI

Title: Fullstack Developer GenAILocation : Rockville, MDTarget Start Date : ASAPType: contract Pay Rate: DOE Full Stack DevelopmentDesign and develop scalable full stack applications with Angular frontends and microservices-based backendsBuild secure, high-performance RESTful and GraphQL APIs using modern backend frameworks such as Java/Spring Boot and Python/FastAPIDevelop responsive and accessible user interfaces using Angular and TypeScriptCollaborate with cross-functional teams including data engineering, security, and business stakeholders to translate business requirements into technical solutionsUtilize AI-assisted development tools responsibly while maintaining code quality and security best practicesGenerative AI IntegrationImplement Generative AI solutions including LLM integrations, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelinesPartner with data science and engineering teams to integrate ML models and support model serving infrastructurePromote responsible AI practices including human oversight, validation, and bias monitoringCI/CD & InfrastructureDesign and maintain CI/CD pipelines using tools such as JenkinsImplement infrastructure-as-code and containerized deployments using Docker and KubernetesIntegrate automated testing, security scanning, and quality assurance into deployment pipelinesTechnical LeadershipProvide mentorship and technical guidance to junior engineers through code reviews and collaborative developmentContribute to architecture discussions, engineering standards, and best practicesEnsure systems align with enterprise security, compliance, audit, and governance standardsRequired QualificationsBachelor's degree in Computer Science, Software Engineering, or related field5-7 years of professional software engineering experienceStrong proficiency in Python and/or Java backend development3+ years of hands-on experience with Angular, TypeScript, RxJS, and state management frameworks such as NgRxExperience designing and implementing RESTful APIs and/or GraphQL servicesHands-on experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, RDS, and DynamoDBExperience with containerization technologies such as Docker and KubernetesProficiency with relational and NoSQL databases including PostgreSQL, MongoDB, and DynamoDBStrong understanding of application security principles including OWASP Top 10, secrets management, and least-privilege accessAt least 1 year of experience working with LLMs, prompt engineering, embedding models, or platforms such as OpenAI, Anthropic, or AWS BedrockPreferred QualificationsExperience within regulated or enterprise environmentsExperience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI-generated outputsFamiliarity with LangChain, LlamaIndex, or similar LLM orchestration frameworksExperience implementing RAG architectures using vector databases such as Pinecone, Weaviate, pgvector, or OpenSearchFamiliarity with event-driven architectures and messaging systems including Kafka, AWS SQS/SNS, or KinesisExposure to observability and monitoring tools such as Datadog, Grafana, or CloudWatchExperience with microservices patterns including circuit breakers, service mesh, and distributed tracingFamiliarity with feature flagging, canary deployments, and progressive delivery strategiesContributions to open-source projects or technical publications related to AI/MLKey CompetenciesEnd-to-end ownership of features across frontend, backend, and database layersStrong debugging and troubleshooting skills across distributed systemsAbility to balance business priorities, scalability, and technical constraintsExcellent communication and collaboration skills across technical and non-technical teamsCommitment to automated testing, code quality, and engineering best practicesAbility to quickly learn and adopt emerging technologies, particularly within AI/ML and cloud ecosystemsWelcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.