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Our client, a fast-growing AI startup, is hiring an AI/ML Engineer to join their team in New York. The successful candidate will focus on building the core Copilot product, with ownership across the full ML lifecycle - from data pipelines and model training to embeddings, retrieval, serving and continuous iteration in production.


Responsibilities

• Design, develop and deploy production-grade Machine Learning systems in Python, moving well beyond experimentation and notebooks.

• Take ownership of key components of the NLP and LLM stack, including embeddings, retrieval pipelines, RAG architectures and targeted fine-tuning.

• Build and iterate on recommendation and ranking models that surface who users should engage with and when.

• Work hands-on with vector databases and similarity search to drive relationship intelligence.

• Implement and maintain ML tooling for training, versioning, monitoring and evaluation.

• Collaborate closely with founders, product and engineering to translate ideas into shipped, measurable product capabilities.

• Integrate ML models into production APIs within a TypeScript / Nest.js–heavy environment.

• Continuously optimise latency, cost and performance, including model routing, caching, distillation and quantisation.

Skillset

• Minimum of 3 years of experience building and deploying production ML systems using Python, PyTorch or TensorFlow and scikit-learn.

• Hands-on NLP and LLM experience, including HuggingFace Transformers, embeddings, sentence-transformers and RAG architectures.

• Experience working with both proprietary models (e.g. OpenAI) and open-source LLMs (e.g. Llama, Mistral).

• Strong foundation in classical machine learning, including classification, ranking, supervised and unsupervised learning, and XGBoost or LightGBM.

• Experience with MLOps and infrastructure, such as experiment tracking, model versioning, Docker/Kubernetes, SageMaker or similar systems.

• Practical experience with vector databases, including Pinecone, Qdrant, Weaviate or comparable platforms.

• Strong software engineering fundamentals, with experience integrating ML models into reliable, production-grade systems.

Benefits

• Salary: Circa $250k.

• Equity.

• Health, dental and vision insurance.

Our client, an AI-driven SaaS startup, is hiring a Senior Software Engineer to join their growing team in New York. The successful candidate will be responsible to design, build and scale both frontend and backend systems that power innovative AI products.


Responsibilities

• Collaborate with cross-functional teams to define requirements, design solutions, prototype concepts and deliver new features.

• Architect, develop and maintain high-performance, scalable web applications.

• Implement responsive design principles to ensure seamless user experiences across all devices.

• Develop clean, modular code and well-structured interfaces to support integration-heavy systems.

• Diagnose, troubleshoot and resolve complex technical issues across the stack.

• Contribute to code reviews to maintain high-quality standards and promote knowledge sharing.

• Stay ahead of emerging technologies and industry trends to continuously enhance product performance and innovation.

Skillset

• Demonstrated experience as a Full Stack Developer with a solid portfolio of web-based applications.

• Expertise in ReactJS, TypeScript and modern server-side technologies.

• Strong knowledge of RESTful APIs, asynchronous programming and scalable application architecture.

• Proficient in Git and collaborative version control workflows.

• Hands-on experience working with generative AI APIs, embeddings, streaming outputs or tool calling is a plus.

• Familiarity with DevOps practices, including CI/CD pipelines, container orchestration and cloud-based infrastructure.

• Exceptional problem-solving abilities with strong communication and teamwork skills.

Benefits

• Salary: $160k - $200K DOE

• Comprehensive health, dental and vision insurance.

• 401(k) with employer match.

• Remote working options.

Our client, a growing Financial Services company, are hiring a hands-on Full-Stack Engineer to join their team remotely. The successful candidate will play a pivotal role in shaping the engineering culture while tackling real-world financial challenges, with the opportunity to take ownership of projects from concept through to production.


Responsibilities

• Collaborate with customers and internal stakeholders to identify SMB financial challenges, translate them into technical requirements and drive successful delivery.

• Take ownership of the entire software development lifecycle, including design, development, testing and production deployment, in alignment with the product roadmap.

• Continuously refine engineering processes, tools and systems to scale the codebase, increase efficiency and support team growth.

• Play an active role in shaping and strengthening the engineering culture, encouraging collaboration and high performance.

• Proactively identify opportunities to enhance products and business outcomes, contributing beyond your core responsibilities.

Skillset

• Proficient in TypeScript and React, with experience in Node.js / Express.

• Previous experience working at an early-stage, high-growth startup.

• Hands-on engineer who transforms ideas into practical, impactful solutions.

• Proven experience designing and building complex, user-friendly products.

• Skilled in architecting end-to-end solutions for complete products.

Our client, an innovator in the Financial Services industry, are hiring a Data Scientist to join their team in California. The successful candidate will be responsible to work at the intersection of data, engineering and fraud detection, while helping to shape and refine the company’s software as it evolves to stay ahead of increasingly sophisticated cyber-attacks.


Responsibilities

• Own end-to-end development of user-facing product features, from initial concept to full launch.

• Translate research findings into practical, high-impact product enhancements.

• Collaborate and work independently to design, test and refine solutions.

• Adopt a product-first approach, turning analysis into measurable results quickly.

Skillset

• PhD degree in Computer Science, Engineering or similar.

• Minimum of 2 years’ experience working in the data science field.

• Strong interest in software engineering and product development.

• Skilled at translating research insights into real-world solutions.

• Self-motivated with the ability to take ownership of projects and drive them to completion.

Benefits

• Salary: $140k - $170k.

• Remote working options.

• Lead the technical architecture across all core platforms.
• Set and uphold engineering standards for code quality, testing, observability and incident response.
• Design and scale real-time clinical oversight systems, including live conversations, escalations and audit trails.
• Build natural language query capabilities over complex healthcare data.
• Develop safe, intuitive no-code tools for configuring agent behavior.
• Architect APIs, data models, and caching for real-time, voice and multi-channel systems at scale.
• Own authentication, authorization and audit logging for healthcare-grade security and compliance.
• Drive build-vs-buy decisions and evaluate platform-wide technical trade-offs.
• Mentor engineers and raise the technical bar across the team.
• Collaborate with clinicians, engineers and customers to turn complex workflows into robust systems.

• At least 7 years of hands-on full-stack engineering experience, including work in high-performing or top-tier engineering environments.
• Deep expertise in React and TypeScript, with a strong grasp of performance, rendering and state management.
• Proven experience building Python backend services, RESTful APIs and distributed systems.
• A strong track record of designing, scaling and operating high-traffic production systems.
• Solid understanding of real-time architectures, including WebSockets, streaming and event-driven systems.
• Experience with relational databases, data modeling, query optimisation and caching strategies.
• Demonstrated ability to set engineering standards and mentor engineers across a team.
• Extremely high bar for code quality, reliability, and operational excellence.
• Strong product intuition, with the ability to turn ambiguous requirements into robust technical solutions.
• Clear, confident communicator across engineering, product and executive stakeholders.

• Salary: $220k - $260k
• Health, dental and vision insurance.
• Mental Health and Wellness support.