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.

Required 

• 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.

• 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.