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
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.
Top Skills:
Agentic AiAi AgentsEu Ai ActGenerative AiLlmsMachine LearningNist Ai RmfNlpRetrieval Augmented Generation
Machine Learning • Security • Software • Analytics • Defense
Lead and develop a recruiting team to hire cleared and uncleared technical and non-technical talent for defense and national security programs. Partner with hiring managers, oversee full-cycle recruiting for hard-to-fill roles, guide employer branding, use data to drive hiring metrics, support offer strategy and compliance, and scale recruiting processes in a regulated environment.
Top Skills:
GreenhouseExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
Machine Learning • Security • Software • Analytics • Defense
Lead enterprise recruiting strategy and operations for defense and national security programs. Build and scale a high-performing TA team, drive technical and cleared talent sourcing (cyber, RF, radar, software, systems, AI/ML), advise executives on workforce planning, implement AI-enabled recruiting tools and ATS improvements, ensure OFCCP and federal contractor compliance, and serve as player/coach on critical hires.
Top Skills:
Ai-Enabled Recruiting ToolsAi/MlApplicant Tracking System (Ats)AutomationCyberRadarRfSensorsSystems EngineeringTalent Analytics
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
