• Seeking a dynamic Senior consultant to join our AI & Data Consulting team • Focused on driving data-driven transformations • Work closely with C-suite leaders, operating partners, and portfolio company executives to leverage Agentic AI • Translate business and functional requirements into agent architectures and workflows • Design and implement data solutions leveraging cloud platforms

Role Description We're looking for engineers who want to work at the frontier of how software gets built. As an AI-First Software Engineer — what Silicon Valley increasingly calls an AI Builder — you won't spend your day writing code line by line. You'll spend it designing robust systems, writing gap-free specifications, directing AI agents to produce production-grade code, and validating that every output meets enterprise standards. The job is architecture, not syntax. - Architect & Specify - Design end-to-end system architectures spanning mobile (Flutter), web (React), backend (Java/Spring Boot), and cloud infrastructure (AWS). - Write detailed, gap-free specifications precise enough for AI agents to generate production-ready code on the first pass. - Decompose complex features into dependency-ordered tasks optimized for agentic execution. - Orchestrate & Generate - Direct AI coding agents (such as Claude and Claude Code) to deliver complete, working implementations. - Run agentic workflows where AI orchestrates AI — one model designing the specification, another executing it. - Drive rapid generate-and-validate cycles measured in minutes, not days. - Validate & Ship - Review AI-generated code for correctness, security, and architectural alignment. - Catch hallucinations and specification gaps early, before they compound. - Guarantee production quality: sound error handling, consistent patterns, enterprise-grade reliability. - Evolve the Methodology - Contribute to our AI-first development practices and documentation. - Identify patterns that raise AI output quality and shrink iteration cycles. - Help scale this approach across the engineering organization. Qualifications - 5+ years of professional software engineering experience, with principal-level depth in at least one domain (mobile, web frontend, backend services, or infrastructure). - Full-stack literacy — you can read, understand, and validate code across Flutter/Dart, React/TypeScript, Java/Spring Boot, SQL, and cloud infrastructure, even where you haven't shipped production code in all of them. - Systems thinking — you instinctively trace how a UI change ripples to the API, the schema, query performance, and production behavior. - Exceptional written communication — you can write a 500-line technical specification with zero ambiguity. Precision in language is a core engineering skill here. - Fast pattern recognition — you spot wrong code, missing edge cases, and architectural problems in seconds, not hours. - AI fluency — you're already comfortable building with AI agents and want to push how far the approach goes. - Comfort with ambiguity and rapid change — this is a new way of working, and you'll help define it. Requirements - Enterprise software experience (staffing, HR tech, workforce management, or similar domains). - Hands-on use of agentic coding tools (Claude Code, Cursor, GitHub Copilot, or similar). - Mobile development background (Flutter, React Native, or native iOS/Android). - Microservices architecture and API design. - AWS experience (EKS, RDS, MSK/Kafka, Lambda, or similar). - A track record in small, high-output teams. Benefits - Competitive base salary plus monthly bonus potential. - Comprehensive Medical, Dental & Vision benefits starting on the first of the month following hire date. - Pet Insurance starting on the first of the month following hire date. - 8 Paid Holidays per year. - Paid Time Off. - 401(k). - Wellness Program. - Parental Leave.

Role Description - Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies. - Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications. - Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs. - Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations. - Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems. - Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution. - Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms. - Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies. - Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation. - Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails. - Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements. - Ability to build secure, auditable, and reliable operational tooling for enterprise users. - Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting. - Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes. - Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards. Qualifications - 6-8 Years of experience in relevant fields. Requirements - Experience with Python, TypeScript, Node.js, Java, Go. - Experience with AI Agents & GenAI Applications. - Experience with RAG (Retrieval-Augmented Generation). - Experience with LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI). - Experience with REST, GraphQL, Webhooks. - Experience with Workflow Orchestration & Agent Runtimes. - Experience with MCP (Model Context Protocol). - Experience with Function Calling & Structured Outputs. - Experience with Prompt Engineering. - Experience with Slack Apps/Bots Integration. - Experience with Jira, Zendesk, ServiceNow, Confluence. - Experience with IAM (Okta, SSO, RBAC, ABAC). - Experience with CI/CD, DevOps, Observability. Company Description NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency.

Role Description If you're excited about building real-world AI products at the forefront of generative AI, this role is for you. As a freelance contributor, you will help build and scale the core AI systems behind the product. You'll work on: - Advanced agentic workflows - LLM orchestration - Retrieval systems - AI infrastructure that directly powers customer-facing features used every day by professionals around the world You'll collaborate closely with an experienced founding team and have significant ownership over the systems you build. If you enjoy solving challenging AI problems and shipping products that create real value for customers, you'll feel right at home at Zapdeck. Tasks include: - Build and scale AI systems: - Design, implement, and optimize core components of our agentic AI architecture with a focus on performance and reliability - Develop agentic workflows: - Build on multi-agent systems using LLMs, orchestration frameworks (LangGraph), RAG, and context engineering - Ship advanced AI features: - Develop innovative capabilities such as layout optimization, structured reasoning flows, and multimodal workflows - Contribute to product evolution: - Collaborate closely with product and engineering teams to shape features through experimentation and rapid iteration - Drive continuous improvement: - Help refine best practices for evaluation, deployment, monitoring, and scaling of AI systems in production Qualifications - Entrepreneurial mindset with strong ownership, creative thinking, and a pragmatic approach to building and shipping solutions quickly - At least 2 years of experience building production-grade AI systems, with a strong focus on Large Language Models - Proven experience designing and delivering agentic architectures and multi-step reasoning pipelines - Hands-on experience with orchestration frameworks such as LangGraph and retrieval systems (RAG/REC) - Strong understanding of prompt engineering, evaluation strategies, and LLM reliability optimization - Bonus: Experience with fine-tuning LLMs or working with multimodal / visual AI models Requirements - Fluency in English, our primary business language - Availability to start on short notice Benefits - High level of ownership and creative freedom within a young, ambitious team, with the opportunity to help build a successful AI company from the ground up - Agile, output-driven work culture with minimal meetings, low administrative overhead, and direct impact on the product - Early-stage startup exposure, including building and scaling core product functions while we onboard large enterprise customers - Opportunity to work closely with the founding team and contribute to key technical and product decisions that shape the future of the company