Hiring: Artificial Intelligence Engineer
Company: Key Talent Solutions (Partnering with a portfolio of venture-backed, AI-native companies)
Location: New York City Metropolitan Area (Opportunities in NYC, Philadelphia, DC Corridor, or Remote East Coast)
Employment Type: Full-Time
Seniority Level: Mid-Senior level (3-8+ years of engineering experience)
Estimated Salary: $125,000 - $240,000+ base per year + equity
Industry: Information Technology and Services / Artificial Intelligence / Venture Capital
Company Overview
Key Talent Solutions represents an elite portfolio of fast-scaling, venture-backed, and YC-incubated AI-native startups. These category-defining companies are actively pushing frontier artificial intelligence past theoretical research into enterprise production.
Serving high-value, paying customer bases across critical industries, these organizations build modern product infrastructures spanning document intelligence, autonomous agentic workflows, and complex data retrieval systems. Dedicated to high execution speed, engineering autonomy, and cross-functional synergy, this collective network bypasses legacy corporate bureaucracy to empower builders with real engineering depth and complete architectural ownership.
Key Responsibilities
Production Deployment: Design, build, and deploy high-scale, enterprise-ready AI applications, moving rapidly from initial discovery phases to fully operational, live production systems.
Agentic Framework Engineering: Architect advanced data retrieval pipelines, agentic workflows, custom evaluation metrics (evals), and the scalable backend infrastructures required to power them.
Forward-Deployed Integration: Partner directly with enterprise customers to embed advanced AI tooling into complex legacy environments, owning technical delivery end-to-end.
Document Intelligence: Pioneer document-processing pipelines, advanced semantic search mechanics, and fine-tuning models optimized for handling highly unstructured operational data.
Architectural Ownership: Take complete end-to-end responsibility for code health, system performance, and infrastructure integration without requiring pre-defined tickets or extensive management scope.
Experience & Qualifications
Production Track Record: A minimum of 3 to 8 years of professional software engineering experience, featuring a proven history of shipping and maintaining customer-facing AI products (not limited to research, prototypes, or demos).
Startup Agility: Demonstrated comfort navigating deep ambiguity and changing product dynamics with a strong, natural bias to ship high-quality code rapidly.
Linguistic & Engineering Depth: Deep engineering fundamentals, avoiding reliance on shallow API scripting, with the capability to debug core system bottlenecks independently.
Operational Alignment: Based on the US East Coast or fully capable of working synchronized East Coast / UK operational hours within a remote or hybrid framework.
Domain Exposure (Preferred): Prior experience as a founding startup engineer, or specialized background exposure in document intelligence, large-scale retrieval systems, or distributed computing.
Technical Skills Required
- Advanced proficiency in AI application frameworks, Retrieval-Augmented Generation (RAG), vector databases, and custom model fine-tuning.
- Deep knowledge of backend systems architecture, microservices, and distributed data pipelines.
- Infrastructure depth utilizing containerization ecosystems, specifically Kubernetes, Docker, and enterprise cloud integration arrays.
- Competence in machine learning evaluation frameworks, performance benchmarking, and system latency optimization.
Apply Now
If you are an exceptional builder who thrives on high architectural ownership and wants to ship category-defining AI models directly to enterprise customers, we invite you to enter our acceleration pipeline. Please submit your technical portfolio, GitHub profile, and resume to match with the ideal product team in our portfolio.
Apply Now