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Our client, an AI-driven healthcare organization, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will build and scale the infrastructure powering a real-time clinical monitoring platform, developing services that process high volumes of neurological data, support clinical workflows and deploy machine learning models into production.



Responsibilities

• Build and maintain Python and Go services to process and deliver real-time neurological data.

• Develop and optimise data models, ingestion pipelines and retention policies for high-frequency time-series data.

• Create and enhance APIs that underpin clinical workflows.

• Work alongside ML engineers to bring research models into production and ensure inference services run reliably.

• Strengthen platform performance and reliability through monitoring, alerting, capacity planning and incident reviews.

• Build software that meets regulated medical device standards, covering cybersecurity, traceability and change control.

• Own technical delivery from defining requirements through development, deployment and ongoing support.

Skillset

• At least 5 years' experience building and operating backend systems in production.

• Strong Python development skills, including testing and concurrency using threads, processes and asyncio.

• Hands-on experience with event-driven or stream-processing systems, including partitioning, checkpointing, backpressure and at-least-once delivery.

• Experience with containerisation and orchestration, preferably Kubernetes.

• Strong relational database skills, including schema design and query optimisation.

• A proactive, resourceful approach, with the ability to turn ambiguous requirements into reliable, monitored services.

• Clear communication skills, including the ability to explain technical decisions verbally and in writing.

• Experience with Go for networked or low-latency services and Azure services such as Event Hubs, Service Bus, Web PubSub, Blob Storage or AKS is a plus.

• Knowledge of large-scale data engineering, columnar formats such as Apache Arrow or Parquet, video processing or sub-second latency systems would be beneficial.

• Experience serving PyTorch models or developing healthcare technology and other regulated software would be an advantage.

Benefits

• Salary: $250k - $300k

• Equity.

• Comprehensive medical, dental and vision coverage.

Our client, a growing Healthtech organization, is hiring a Founding Principal Engineer to join their team in New York City. The successful candidate will lead the company's next phase of technical development, from shaping the technical strategy, building critical platform capabilities and guiding a distributed engineering team.


Responsibilities

• Shape the technical roadmap and architecture for telehealth services, electronic health records, clinician onboarding and patient-facing applications.

• Develop production software and tackle the platform's most demanding technical challenges.

• Assess whether to build solutions internally, purchase existing products or engage external partners.

• Lead and mentor offshore engineers, setting clear priorities and ensuring consistent delivery.

• Introduce engineering standards for code reviews, testing, deployments, on-call support and incident management.

• Ensure platform reliability and data security, with engineering practices that support HIPAA compliance and payer requirements.

• Drive practical AI adoption across clinical, operational and engineering processes.

• Develop and refine the technology stack, currently using TypeScript, Node.js, React and AWS.

• Collaborate with clinical, growth and operations teams to turn business requirements into clear technical delivery plans.

• Hire and onboard US-based engineers, shaping the team's structure, working practices and culture as the company grows.

Skillset

• At least 8 years' experience developing production software, including time in a Staff or Principal Engineer role.

• Strong full-stack engineering skills, covering database design, backend services and user interfaces.

• Proven ability to define architecture and deliver complex systems from initial design through to production.

• Experience leading engineering teams while remaining hands-on with development.

• A track record of raising engineering standards, mentoring developers and improving software quality.

• Experience working effectively with distributed or offshore engineering teams.

• Experience building software in regulated environments or systems with demanding reliability and data protection requirements.

• Sound technical judgement around security, reliability and data integrity, with healthcare experience an advantage.

• Ability to navigate ambiguity, manage competing priorities and deliver within a growing organisation.

• Strong communication skills, with confidence engaging senior leaders and explaining technical decisions to non-technical stakeholders.

Benefits

• Salary: $200k - $240k.

• Equity.

Our client, a venture-backed AI startup, is hiring a Forward Deployed Engineer to join their team in New York or San Francisco. The successful candidate will partner with customers to understand their operational needs, develop tailored technical solutions and use their feedback to guide platform improvements.


Responsibilities

• Engage with customers remotely and on-site to understand their workflows, operational challenges and technical needs.

• Build and deploy software that helps users overcome investigative and evidence management challenges.

• Develop tailored integrations, analyses and tools to meet specific customer requirements.

• Translate user problems into practical, working software solutions.

• Convert customer feedback into code improvements, product recommendations and actionable development requirements.

• Partner with engineering colleagues to inform product priorities and improve platform capabilities.

• Own technical delivery from initial discovery through implementation and ongoing refinement.

• Travel to customer sites as required, accounting for approximately 25-75% of the role.

Skillset

• Strong software development skills, with the ability to solve complex problems through practical engineering.

• Experience engaging directly with customers to understand their needs and address technical challenges.

• An adaptable approach to building tailored tools, one-off analyses and customer integrations.

• Sound product judgement and the ability to turn user feedback into meaningful software improvements.

• Clear communication skills, with confidence explaining technical concepts to non-technical audiences.

• The ability to own projects, make informed decisions and deliver in a fast-paced startup.

• Confidence working through unclear requirements and unfamiliar technical challenges.

• A curious, hands-on mindset, with a willingness to experiment and develop new solutions.

Benefits

• Salary: $130k - $215k

• Equity.

• Comprehensive benefits backage.

Our client, a venture-backed AI startup, is hiring a Member of Technical Staff - Backend & AI to join their team in New York. The successful candidate will develop secure, reliable backend systems and AI capabilities that help law enforcement and legal professionals search, interpret and act on complex evidence.


Responsibilities

• Build and maintain secure, reliable backend services and distributed systems.

• Integrate and deploy large language models, vision-language models and other machine learning technologies into production.

• Develop RAG pipelines to process, retrieve and search unstructured evidence.

• Build tools for querying, modelling and reasoning across structured data.

• Create agentic workflows that reason, plan and act across multiple data sources.

• Assess emerging AI models, infrastructure and engineering methods to improve platform capabilities.

• Take ownership of technical projects from initial investigation through development, deployment and ongoing support.

• Resolve production issues and respond to urgent technical and operational requirements.

Skillset

• Strong backend development experience, including designing and building secure, resilient distributed systems.

• Proficiency in Python and the ability to work across different programming languages and infrastructure platforms.

• Hands-on experience deploying LLMs, VLMs or other machine learning models into production.

• Experience developing RAG pipelines or similar solutions for processing and retrieving unstructured data.

• Experience working with structured data, including query planning, semantic modelling or structured reasoning.

• A keen interest in agentic AI and emerging techniques for applying AI to real-world problems.

• Ability to own projects, make sound technical decisions and deliver in a fast-paced startup.

• Confidence navigating unclear requirements and solving unfamiliar technical problems.

• A practical, hands-on approach to troubleshooting and maintaining production systems.

Benefits

• Salary: $135k - $215k

• Equity.

• Comprehensive benefits backage.