The Tech Lead will design and deliver AI-enabled products, implement scalable architectures, define technical direction, and collaborate with stakeholders to translate business needs into technical solutions.
This is a remote position.
We are looking for a highly capable Tech Lead to design and deliver an AI-enabled product from scratch in an environment where requirements may initially be unclear or incomplete.
This role requires someone who combines strong software engineering fundamentals, product thinking, and hands-on experience building systems powered by LLMs or other AI technologies.
The ideal candidate is comfortable operating in a small company environment, working directly with stakeholders to transform ambiguous business needs into scalable technical solutions.
This is a highly hands-on role requiring strong autonomy, pragmatic decision-making, and the ability to structure messy problem spaces.
This role requires someone who combines strong software engineering fundamentals, product thinking, and hands-on experience building systems powered by LLMs or other AI technologies.
The ideal candidate is comfortable operating in a small company environment, working directly with stakeholders to transform ambiguous business needs into scalable technical solutions.
This is a highly hands-on role requiring strong autonomy, pragmatic decision-making, and the ability to structure messy problem spaces.
Job Activities
- Design and implement scalable architectures for AI-enabled products, including LLM integrations, structured workflows (e.g., classification, extraction, reasoning), and RAG or embedding-based solutions.
- Define technical direction and make pragmatic technology decisions, balancing speed, quality, cost, and reliability, while ensuring maintainability and strong engineering standards.
- Evaluate and improve AI system performance through structured feedback loops, guardrails, and fallback strategies.
- Collaborate closely with stakeholders to translate ambiguous business needs into clear technical solutions, influencing product roadmap and prioritization.
- Own delivery by breaking down complex initiatives, coordinating team efforts, and ensuring timely execution of key milestones.
- Lead by example through hands-on development, code reviews, and mentorship, fostering a high-quality and scalable engineering culture.
- Continuously improve processes, documentation, and development workflows to support team efficiency and growth.
Requirements
- Strong experience as a Tech Lead or Senior Engineer, with the ability to design scalable systems from scratch across modern web architectures (frontend and backend).
- Solid expertise in API design, database modeling, software architecture patterns, and scalability fundamentals.
- Hands-on experience integrating LLM APIs into production systems, with a strong understanding of prompting strategies, structured AI workflows, and concepts such as RAG, embeddings, semantic search, and tool/function calling.
- Ability to evaluate and optimize trade-offs between model performance, cost, and latency, while ensuring reliability through guardrails and structured output strategies.
- Strong product and problem-solving mindset, with the ability to identify gaps, structure ambiguous problems, and make decisions with incomplete information.
- Excellent communication skills, able to simplify complex technical concepts and effectively align with non-technical stakeholders, including negotiating scope and priorities.
Nice to Have
- Experience with AI-assisted development tools (e.g., Cursor, Claude Code, Copilot) and proven ability to increase development velocity using AI.
- Experience in early-stage startups or small teams, including launching v1 products and improving undefined or unstructured processes.
- Experience working closely with founders or executive stakeholders.
Similar Jobs
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.
Top Skills:
Power BIPythonRSQLTableau
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Own end-to-end product experience for an observability pipeline domain: conduct user research, prototype, and ship production-ready React interfaces. Build and evolve component libraries and design systems, ensure accessibility and performance, collaborate with PMs and engineers, measure UX outcomes, and mentor junior team members.
Top Skills:
CSSGraphQLHTMLJavaScriptOpentelemetryReactRest ApisTypescriptWcag
.png)
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Drive new business and ensure customer success across the Alabama South/Black Belt territory. Prospect and close sales in-field, expand existing accounts, manage onboarding and deployments, gather and relay field feedback, collaborate with product and support teams, attend industry events, and own territory performance while frequently traveling to ranches and regional meetings.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
