Role Description Lentech is seeking a REMOTE (DC/metro area preferred) AI Designer/Developer/Engineer with a focus on agentic AI systems—autonomous, goal-driven AI that can reason, plan, and act—to support federal clients and help build our internal AI practice. This role centers on developing intelligent agents and multi-agent systems that automate complex workflows, augment decision-making, and improve mission outcomes in secure government environments. You will play a key role in designing and deploying AI systems that move beyond static models into dynamic, interactive, and adaptive solutions. As a designer and developer, you will develop AI tools that empower users rather than overwhelm them, making AI-driven products approachable and inclusive. Responsibilities - Lead the design and development of Lentech’s AI product suite and our AI Practice, with initial focus on leveraging the Digitalnet.ai JanusAI platform to create mission and customer focused products, and to integrate Digitalnet.ai developed products for customers in the federal marketplace. - Collaborate with Lentech leadership to generate an end to end go to market strategy and implementation plan for Lentech’s AI Practice. - Develop and eventually lead the Agentic AI Division of Lentech. - Collaborate with stakeholders to identify mission workflows that can be automated or augmented agentic AI. - Deploy secure, scalable AI solutions within federal environments (e.g., GovCloud, air-gapped systems). - Design and develop agentic AI systems capable of reasoning, planning, and executing multi-step tasks. - Implement guardrails, monitoring, and human-in-the-loop controls for safe and reliable AI behavior. - Build reusable frameworks, accelerators, and architectures to support Lentech’s AI practice. - Build and orchestrate autonomous agents and multi-agent workflows using modern frameworks (e.g., LangChain, AutoGen, CrewAI, or similar). - Optimize agent performance through evaluation, prompt engineering, and tool-use strategies. - Document system design, agent behaviors, and compliance with federal AI governance standards. - Integrate large language models (LLMs) with tools, APIs, and data sources to enable real-world task execution. - Develop retrieval-augmented generation (RAG) pipelines and knowledge-grounded AI systems. Role in Building Lentech’s AI Practice - Lead development of agentic AI capabilities and reusable solution architectures. - Work with existing AI Partners and help identify new partnerships to grow and expand our AI capabilities. - Define best practices for building, deploying, and governing autonomous AI systems. - Create accelerators for common federal use cases (e.g., document analysis, decision support, workflow automation). - Support capture and proposal efforts with differentiated agentic AI solutions. - Mentor teams and promote adoption of agent-based AI approaches across Lentech. Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field. - 6+ years as a software developer or supporting software development activities. - 1+ years as a development lead, scrum master, or manager of a development team. - 3+ years of development experience in AI/ML engineering and software development. - Strong communication and leadership skills. - Strong programming skills in Python and experience building production-grade systems. - Hands-on experience with LLMs and agent frameworks (e.g., LangChain, LlamaIndex, AutoGen). - Experience integrating APIs, tools, and external data sources into AI-driven workflows. - Understanding of prompt engineering, RAG architectures, and LLM evaluation techniques. - Familiarity with cloud platforms and secure deployments. - Knowledge of software architecture, distributed systems, and API design. Preferred - Experience developing multi-agent systems or autonomous AI workflows. - Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS). - Experience with model fine-tuning, embeddings, and semantic search. - Knowledge of federal AI compliance frameworks (NIST AI RMF, FedRAMP). - Active or eligible U.S. security clearance. - Experience contributing to AI capability development or innovation labs. Example Use Cases - Autonomous agents that analyze federal documents and generate actionable insights. - Multi-agent systems coordinating tasks such as data ingestion, analysis, and reporting. - AI copilots that assist government personnel with research, compliance, and decision-making. What Success Looks Like - Deployment of reliable, secure agentic AI systems in federal environments. - Measurable improvements in mission efficiency through AI-driven automation. - Establishment of Lentech as a leader in agentic AI solutions for the federal market.

• Lead the design and development of full-stack machine learning and generative AI applications tailored to meet business needs. • Work closely with domain experts to translate business requirements into technical specifications and solutions. • Develop prototypes to assess technology readiness and guide the scaling of promising solutions into production-ready applications. • Provide technical guidance and mentorship to junior engineers and team members, fostering a collaborative environment. • Continuously monitor and optimize machine learning models and algorithms to improve performance and accuracy. • Collaborate with AI engineers, data scientists, software developers, UX/UI, and product managers to integrate AI solutions into existing products and develop new features. • Design and optimize data architecture and infrastructure to support efficient data storage, processing, and analysis. • Stay up-to-date with the latest trends and advancements in data science, machine learning, and defense technology. • Communicate findings and recommendations to technical and non-technical stakeholders through clear and compelling presentations and reports.

• Apply AI/ML modeling techniques in solving many types of problems • Develop and design algorithmic solutions for automation projects • Design, develop, and implement data science solutions to address defense-related challenges • Utilize advanced coding skills to manipulate, analyze, and visualize large and complex datasets • Develop and deploy machine learning models and algorithms to extract insights and make predictions • Collaborate with cross-functional teams to identify data requirements, gather relevant data, and define project objectives • Design and optimize data architecture and infrastructure to support efficient data storage, processing, and analysis • Stay up-to-date with the latest trends and advancements in data science, machine learning, and defense technology • Communicate findings and recommendations to technical and non-technical stakeholders through clear and compelling presentations and reports

Job Description We are building a community where global talent is geographically unleashed, and diversity is celebrated. We champion the freedom of living and working across borders, shaping a nation without a country. WorkNomads is on the hunt for an AI Engineer to join our team, working remotely from anywhere in the world. Who We Are: - Remote engineering services, global impact: Expert engineering, design & business talent, and cross-disciplinary project teams. - Diversity celebrated: 40+ nationalities, 4 continents, one team. - Continuous growth: We invest in you, projects, coliving, and community, stretched beyond what you thought possible. Your mission at WorkNomads: - Build and deploy Agentic AI systems - Develop scalable back-end architectures using Python - Design, implement and maintain AI agents from experimentation to production Work on internal AI initiatives - Deploy AI services across cloud platforms (AWS, GCP, Azure) - Collaborate closely with colleagues to ship production-ready systems - Ensure clean integration of AI components with broader engineering infrastructure - Apply MLOps best practices to monitor, optimize, and scale AI solutions We want to hear from you if you have: - 4+ years of experience as an AI Engineer - Strong back-end development background (Python is a must) - Hands-on experience with Agentic AI frameworks and architectures - Experience with MLOps and deploying AI systems to production - Solid software engineering foundations (not purely Data Science-focused) - Bonus: DevOps and/or Data Analytics experience And beyond the technical side: - A passion for continuous learning & collaboration in a global setting - A team player mentality and belief that no one should be left behind regardless of background - A builder’s mindset: you think in systems, not just models - Comfortable working in fast-moving, experimental environments Perks of being one of us: - Flexible working hours - Competitive remuneration and social benefits - Remote work + optional coliving options for deep community connections - Growth opportunities; learn from experts, expand your craft, work across industries - Be part of something beyond work: culture, values, impact How to Apply / What Happens Next: - Send us your CV by hitting the “Apply” button. - You will hear from one of our Spotters within 5 business days with the next steps. - Meet us on MS Teams and tell us what excites you. - The next stage could be a test or a task; we want to see what you DO (not just what you say). - Along this journey, prepare to meet either our Chief Talent Gaucho, your future leader, or our Head Honcho 😉 Interest piqued? Join us! WorkNomads - A Nation Without a Country We celebrate the right of every human to be themselves and provide opportunities for global talent to shine. Diversity, social equity, and inclusion are at the core of who we are. We create an environment where different voices are respected, heard, and empowered in equal measure. We’re breaking down boundaries by designing a new nomadic economy, enabling people to do what they love and be where they want.