X by 2 - Technical Lead (Applied AI)

• 6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions • 1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect • 1+ years in developing AI agents and/or AI model development and training • Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering • (Optional) Master's Degree or Minor in AI/Machine Learning or Statistics • Agentic AI: building and integrating autonomous AI agents using LLM APIs and orchestration frameworks (e.g., Anthropic Claude, OpenAI GPT, LangChain, CrewAI, AutoGen, MCP) • Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Data Engineering & Feature Engineering: building data pipelines, performing feature engineering, and ensuring data quality across large, complex datasets • Context Engineering: Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG techniques implementing retrieval-augmented generation patterns using vector stores (e.g., Pinecone, Weaviate, pgvector, ChromaDB), . • LLM Prompt Engineering & Fine-Tuning: designing and evaluating effective prompts, system instructions, and fine-tuning strategies for production LLM applications • AI Evaluation & Production Readiness: defining evaluation methods, testing model behavior, monitoring performance, and addressing reliability, safety, explainability, and auditability concerns • You move fluidly between writing code and leading a room — equally comfortable in a design review as you are in a pull request • You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt • You take ownership seriously — on small teams, your decisions have real impact and you're energized by that, not intimidated • You're genuinely curious about AI, not just checking a box — you've experimented with agentic systems, LLMs, or ML tools on your own terms • You communicate clearly with both engineers and non-technical stakeholders, and can translate complexity without dumbing it down • Metro Detroit or North Carolina Research Triangle (Raleigh, Durham, Chapel Hill) • Hybrid: flexibility to work remotely, but not fully remote • Travel to X by 2 offices (Farmington Hills, MI) and client sites (within US) is required when requested • Work Environment and Culture • Work alongside smart, collaborative people who continually challenge and invest in each other • Partner with seasoned architects to solve hard problems and challenge assumptions • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.