GenAI Engineer – Agentic AI & Cloud Engineering
Title: GenAI Engineer - Agentic AI & Cloud EngineeringLocation : Rockville, MD or McLean, VATarget Start Date : ASAPType: contractPay Rate: DOEWe are seeking a hands-on GenAI Engineer to help design, build, and productionize enterprise AI solutions focused on agentic systems, LLM-powered workflows, and intelligent automation platforms. This role is centered on building scalable AI tools and frameworks that transform proof-of-concepts into production-ready applications across the organization.The ideal candidate combines strong software engineering fundamentals with deep hands-on experience building AI agents, RAG pipelines, MCP integrations, and cloud-native GenAI applications. This is an engineering-first role for someone who actively codes, architects solutions, and thrives in fast-moving AI environments.This position contributes throughout the software development lifecycle, from architecture and prototyping through deployment, optimization, and operational support.Key ResponsibilitiesGenAI & Agentic System DevelopmentDesign and build LLM-powered agent systems using frameworks such as:LangChainLangGraphAWS Strands Agents SDKor equivalent agent orchestration platformsDevelop and productionize:AI assistantsautonomous and semi-autonomous agentsintelligent workflow automation toolsMCP-integrated systemsRAG-based enterprise search and retrieval solutionsBuild agent harness architectures that combine:LLM reasoningdeterministic executiontool orchestrationstructured output validationguardrails and fallback handlingImplement:agent memory and context managementtool routing and orchestrationAPI integrationsvector search and retrieval workflowssecure execution tracing and auditingPartner with teams to take POCs and experimental AI concepts into production-scale initiativesHelp drive internal adoption of AI tooling and identify opportunities to expand GenAI capabilities across engineering teamsAI Platform Engineering & Cloud InfrastructureBuild scalable AI applications and services on AWS cloud infrastructureDevelop backend services and APIs supporting agent workflows and AI toolingEngineer cloud-native AI solutions leveraging:AWS BedrockLambdaStep FunctionsS3EMREKS/ECSAPI GatewayContribute to CI/CD pipelines, infrastructure automation, observability, and deployment processesEnsure secure handling of enterprise and sensitive data within AI systems and workflowsData & Retrieval EngineeringBuild and optimize retrieval pipelines supporting GenAI applications and RAG architecturesDevelop SQL and Python-based processing for large-scale datasets and retrieval workflowsWork with high-volume cloud data environments and distributed processing systemsSupport structured and unstructured data ingestion for AI-powered applicationsRequired Technical SkillsGenerative AI & Agentic SystemsHands-on experience building:AI agentsagentic workflowsLLM-powered applicationsRAG pipelinesStrong understanding of:prompt engineeringmemory architecturescontext managementtool usage and orchestrationverification and guardrail patternsExperience integrating with foundation models such as:Anthropic ClaudeOpenAI modelsAmazon Novaor equivalent LLM platformsExperience communicating with and integrating:MCP serversAPIsexternal toolsenterprise data sourcesProgramming & Software EngineeringStrong hands-on coding ability in:Python (primary)SQLAbility to write:modularmaintainableproduction-quality codeExperience with:REST APIsbackend engineeringautomation frameworkstest automationCI/CD pipelinesCloud & InfrastructureStrong AWS experience including:BedrockLambdaS3EMRStep FunctionsCloudWatchEKS/ECSExperience with:DockerKubernetesInfrastructure as CodeGitLab CI / Jenkins / GitHub ActionsAI Engineering ToolingExperience using AI-assisted engineering tools such as:Amazon Q DeveloperGitHub CopilotClaudeChatGPTFamiliarity with AI-assisted software development workflows and rapid prototyping approachesWhat Success Looks LikeDeeply hands-on with GenAI engineeringComfortable building systems from concept through production deploymentStrong technical depth with the ability to rapidly experiment and iterateAble to bridge AI concepts, engineering implementation, and scalable enterprise adoptionThrives in highly collaborative, innovation-focused environmentsNice to HaveVector databases:PineconeFAISSOpenSearchModel tuning / fine-tuning:LoRAPEFTmanaged tuning platformsObservability tooling:GrafanaPrometheusELK stackExperience working in regulated or enterprise-scale environmentsEducation & ExperienceBachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related fieldExperience building enterprise-grade software solutions and cloud-native applicationsStrong communication and collaboration skillsAbility to work in fast-paced, rapidly evolving technical environmentsWelcome 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.