Jobs at Newcode.ai

You will manage cloud environments and deployment pipelines, ensure reliability, security, and isolation for AI product infrastructure, and collaborate with engineers.

Provide strategic in-house legal support for commercial contracts, corporate governance, IP protection, compliance (including Vanta/OneTrust and ISO standards), and risk & disputes. Draft, review, and negotiate agreements; manage corporate entities, cap table and compliance programs; advise leadership and partner with business teams to mitigate legal and regulatory risk.

Design and animate motion assets for product launches, marketing, and social channels. Create product-led animations that explain complex legal-AI concepts, build reusable motion systems and templates, collaborate with design and marketing, and explore AI tools to streamline creative workflows.

Design and develop core backend systems and APIs for AI applications, ensuring performance and reliability while collaborating with frontend teams.

The role involves supporting senior leaders by managing calendars, travel, preparing meeting materials, and handling correspondence, while operating with high autonomy and discretion.

As a Senior Fullstack Developer, you will design and develop core AI systems, manage full development cycles and collaborate with the team for scalable features.

Execute integrated marketing campaigns across digital and offline channels. Create on-brand copy and content, manage website and SEO, support email and paid media, coordinate events and partnerships, track KPIs and optimize performance, and maintain consistent brand identity across touchpoints.

Own and operate the end-to-end retrieval pipeline: parsing/chunking, embeddings, vector indexing, semantic+keyword search, reranking, and agentic retrieval loops. Build evaluation (golden sets, metrics, regression tests), ship robust Python/FastAPI services, ensure tenant isolation and data security, and make multilingual retrieval reliable under production load.

Lead testing strategy for AI-powered legal products: build evaluation frameworks, design test plans, measure AI outputs, run regression and UAT, identify risks, and partner with engineering to improve quality and scale the testing function.