AI Engineer Jobs

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  • Our client, an emerging AI startup within the digital media sector, is hiring a hands-on Founding Engineer to join their New York team. The successful candidate will take full ownership of the user experience and product journey, delivering a product that is polished, performant and intuitive.


    Responsibilities

    • Design, build and refine their core video-based product with a focus on polish and usability.

    • Own end-to-end UX quality, including animations, performance, interactions and visual detail.

    • Collaborate across the full codebase, contributing beyond the frontend as needed.

    • Work directly with users to gather feedback and iterate quickly on features.

    • Help shape early engineering standards, best practices and overall product direction.
       


    Skillset

    • At least 2 years of experience as a software engineer in a startup environment.

    • Strong TypeScript and frontend engineering fundamentals.

    • Comfortable ramping quickly in new and evolving codebases.

    • High sense of ownership with a proactive, self-starting mindset.

    • Strong eye for UX and product quality, with attention to detail.

    • Enjoys balancing focused execution with creative, exploratory feature development.



    Benefits

    • Salary: $150k–$250k

    • Equity.

  • Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.


    Responsibilities

    • Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.

    • Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.

    • Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.

    • Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.

    • Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.



    Skillset

    • At least 5 years of hands-on experience developing and deploying machine learning models in production environments.

    • Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.

    • Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.

    • Strong software engineering fundamentals, with experience building production-grade services and REST APIs.

    • Practical experience working with cloud platforms such as AWS, GCP or Azure.

    • Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.

    • Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.

    • Experience working within e-commerce or online marketplace environments is a bonus.



    Benefits

    • Salary:  $160,000–$200,000 DOE

    • Equity.

    • Comprehensive benefits package.

    • Remote working options.

  • Our client, an IT Services company who specialize in the federal sector, are hiring a talented ServiceNow Developer to join their team in Virginia. The successful candidate will be responsible for designing, developing and enhancing ServiceNow solutions that enable mission-critical operations for the government and commercial clients.


    Responsibilities

    • Work both independently and collaboratively within a technical team to deliver robust, high-quality solutions.
    • Support internal and external customers by operating across multiple ServiceNow instances and domains.
    • Leverage Agile/Scrum practices to plan, manage and execute development tasks.
    • Provide guidance to functional and administrative teams on design, development and ServiceNow best-practice approaches.
    • Partner with business, systems and technology stakeholders to gather, analyse and refine business and technical requirements.
    • Design and develop enhancements and solutions across existing ServiceNow applications.
    • Create and maintain platform components, including Business Rules, Script Includes, Client Scripts, ACLs and Workflow Activities.
    • Lead and support the deployment of new applications and feature enhancements within the ServiceNow platform.
    • Identify, troubleshoot and analyse system performance issues, recommending improvements where necessary.


    Skillset
    • Solid understanding and practical experience with the broader ServiceNow suite, including Service Catalog, Service Portal, Reporting, Incident Management, Knowledge Base and related modules.
    • Strong communication and active-listening abilities, with the capacity to collaborate effectively with both technical and non-technical stakeholders.
    • Demonstrated development experience beyond the ServiceNow platform, supported by strong analytical and problem-solving skills.
    • Familiarity with IT Service Management, Asset and Configuration Management and ITIL/ITSM practices.
    • Hands-on experience working within Agile/Scrum delivery environments.
    • Solid understanding of the system and software engineering lifecycle, including requirements analysis, solution design, implementation, support and enterprise monitoring.
    • Experience working with large datasets and performing data analysis or modelling to support strategic decision-making.



    Benefits

    • Salary: $190k - $200k
  • Our client, an IT company that supports startup operations, is hiring a Full Stack Engineer to join their New York team. The successful candidate will transform complex, real-world workflows into clean, reliable software and take full ownership of features from discovery and scoping through implementation and delivery.


    Responsibilities

    • Develop and take full ownership of features across the frontend, backend and system integrations.

    • Leverage AI in practical ways to accelerate internal workflows and enhance the user experience.

    • Design and automate sophisticated legal and financial processes for reliability and efficiency.

    • Build and maintain integrations with payroll, accounting, e-signature and other third-party platforms.

    • Enhance internal tools, including client communications, dashboards and task management systems.

    • Continuously improve code clarity, observability and security across the entire platform.



    Skillset

    • Strong full-stack development experience, with ownership across frontend, backend and integrations.

    • Proven track record of shipping full-stack features, from UI tweaks to backend and DevOps tasks.

    • Proficient in Frontend tools such as TypeScript and React.

    • Experienced with APIs & Data Handling.

    • Solid Backend skills with expertise in Node.js, Prisma, PostgreSQL, Redis.

    • Familiarity with Infrastructure & Deployment (Render, AWS).

    • Comfortable leveraging AI tools (e.g. Cursor) to streamline workflows.

    • Able to move quickly and iteratively without waiting for fully polished designs or detailed specs.



    Benefits

    • Salary: $160K–$210K DOE.

    • Equity.

    • Medical, dental and vision insurance.

  • Our client, a growing Healthtech organization, is hiring a Software Engineer to join their team in New York. The successful candidate will play a key role in advancing their flagship platform and building new product capabilities that strengthen patient access and make pharmaceutical workflows more efficient.


    Responsibilities

    • Develop and enhance key components of their transaction processor, web application and API services.

    • Participate in all stages of the software development lifecycle, from design and implementation to testing and deployment.

    • Monitor and improve cloud infrastructure to ensure high performance, reliability and scalability.

    • Work closely with team members to design clean, maintainable and high-performing solutions

    • Take ownership of projects, demonstrating strong organization, time management and follow-through.



    Skillset

    • Bachelor’s degree in computer science, engineering or similar.

    • 5+ years of professional software development experience.

    • Strong proficiency in Java, TypeScript, and SQL (PostgreSQL).

    • Hands-on experience with Spring (Boot or Framework) and React.

    • Deep understanding of RESTful API design and integration.

    • Experience with unit and integration testing frameworks (e.g., JUnit, Mocha).

    • Ability to perform basic data analysis (SQL or Python) is a plus.

    • Comfortable using the Linux command line.

    • Practical experience deploying to Microsoft Azure or another major cloud provider.

    • Background in pharmaceutical or healthcare technology is a bonus.



    Benefits

    • Salary: $120,000 - $150,000 DOE

    • Comprehensive benefits package.

  • Staff Data Engineer
    Location: Remote

    Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with Data products? 

    Or not seeing your work directly impact the companies mission? 

    If so , my HealthTech client is looking for a Staff Data Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the data solutions you feel is best. 

    You'll join a smart and curious team who like to be challenged working on areas across the business that power key ML and data systems.

    You'll achieve success here by combining your technical Data knowledge and coding skills with high positive energy, business acumen and clear articulate communication skills. 

    What else is in it for you? 

    • Base Salary from 200-240k 
    • Equity/Stocks
    What do you need to be successful? 
    • Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal Data Engineer
    • You can clearly articulate your thoughts and write and communicate them clearly.
    • Build Data products and solutions (with both batch and streaming data) that matter not just moving data from A to B
    • Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
    • Can move with speed and intent and comfortable with life building a startup/scaleup
    • Python and SQL expert with data engineering
    • GCP suite expertise with tools like PubSub, BigQuery, airflow, Dataflow, Data Stream, Cloud Functions, Cloud Composer, Dataform.

    Interested? Click the apply or For more info reach out at anthonyh@alldus.com

     
     
  • Our client, a FinTech innovator, are hiring a Staff Machine Learning Engineer with expertise in Large Language Models (LLMs) to join the team remotely. The successful candidate will be responsible for building Generative AI and LLMs solutions in a in a fast paced environment that will help transform financial advice delivery.


    Responsibilities

    • Lead the development and customization of large language models tailored for financial use cases.

    • Apply cutting-edge tuning methodologies to enhance performance across conversational AI, content generation and strategic reasoning tasks.

    • Create intelligent retrieval systems that combine multiple search approaches, semantic understanding and ranking mechanisms to deliver contextually relevant information at scale.

    • Engineer autonomous AI systems capable of independent decision-making, integrating feedback loops and adaptive learning techniques to continuously enhance agent capabilities.

    • Establish comprehensive testing and monitoring frameworks while overseeing production deployments that maintain high-performance standards under real-world conditions.

    • Work closely with cross-functional teams to transform AI research into market-ready features that solve genuine business challenges.



    Skillset

    • Minimum 5 years of professional experience applying machine learning in commercial settings post-graduation.

    • Must have at least 2 years’ experience working with LLMs and finetuning like QLORA / LORA and building RAG systems.

    • Demonstrable success delivering end to end ML /AI products where generative AI drives core functionality, with particular emphasis on systems that exhibit autonomous behavior patterns.



    Benefits

    • Salary: $190,000 - $225,000 .

    • Equity.

    • Comprehensive health/dental/vision coverage.

    • Retirement plans.



    If interested hit apply below or reach out to me at joseph.mcdermott@alldus.com

  • Our client, an AI-focused FinTech company, is hiring a Senior Backend Engineer to join their team in Manhattan, New York. The successful candidate will take the lead for core systems, from owning the overall architecture and building systems that are low-latency, resilient and cost-efficient.


    Responsibilities

    • Design, build and maintain backend services that are high-performance, resilient and easy to scale.

    • Define service boundaries, data models and API contracts to enable independent team development.

    • Set performance benchmarks and SLOs, designing systems for durability and graceful degradation under load.

    • Lead technical design reviews and mentor engineers on best practices in code quality, testing, and operations.

    • Take ownership of critical systems, including queue orchestration (Temporal), caching (Redis) and infrastructure automation.



    Skillset

    • Proven expertise building Node.js/TypeScript services.

    • Experience with Go in production is a plus.

    • Solid grasp of memory management, distributed systems, durable execution and edge computing.

    • Hands-on experience with Temporal (or similar durable workflow systems) and Redis at scale.

    • Comfortable deploying and operating services in modern cloud environments with strong observability practices.

    • Familiarity with LLM integrations and their operational considerations is a plus.

    • Strong communication and decision-making skills.

    • Ability to make both high-level architecture and detailed code design decisions.

    • Experience working with agentic or LLM-driven workflows is a bonus.



    Benefits

    • Salary: $150K–$200K

    • Equity.

    • Health, dental and vision insurance.

    • 401k with 3% automatic contribution.

  • Our client, an AI-driven FinTech organization, are hiring a Senior AI Engineer to join the team in Manhattan, New York. The successful candidate will work with LLMs and deploy real-world AI agents, focusing on orchestration, evaluation and reliability to ensure agents perform meaningful work safely, efficiently and consistently.


    Responsibilities

    • Design, build and productionize end-to-end agent workflows, including APIs, tools, evaluation frameworks, monitoring and multi-step processes.

    • Optimize system performance by managing latency, cost and safety controls, and building dashboards and alerts for reliability.

    • Evaluate and compare models, hosting solutions and prompt strategies, implementing guardrails as needed.

    • Measure outcomes, run A/B tests and iterate to improve task success and overall system effectiveness.

    • Collaborate with product and design teams to develop and ship innovative interaction patterns.



    Skillset

    • At least 3 years of experience building AI/ML systems, preferably with LLMs or agentic workflows.

    • Strong programming skills in Python, including libraries like NumPy, PyTorch or TensorFlow.

    • Experience designing and integrating APIs, microservices and evaluation frameworks.

    • Knowledge of workflow orchestration, multi-step planning and memory/retrieval systems.

    • Familiarity with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).

    • Strong problem-solving skills with the ability to make informed system and code-level decisions.

    • Experience with monitoring, instrumentation and A/B testing to optimize outcomes.

    • Excellent collaboration and communication skills.



    Benefits

    • Salary: $160K–$200K

    • Stock options.

    • Health, dental and vision insurance.

    • 401k with 3% automatic contribution.

  • 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 venture-backed Fintech startup, is hiring a Principal Software Engineer (Backend) to join the team remotely. The successful candidate will drive the design and scalability of their backend systems, seamlessly integrating AI solutions and connecting traditional backend services with AI inference pipelines to ensure robust, high-performance operation at production scale.


    Responsibilities

    • Drive the design and implementation of Django-based backend systems that power the company’s core platform.

    • Architect scalable, reliable APIs that integrate smoothly with both frontend applications and AI services.

    • Develop and maintain AI inference endpoints to serve models at production scale.

    • Partner with AI engineers to collect, process and analyze data from application workflows.

    • Enhance and optimize AI pipeline evaluation and monitoring systems.

    • Take ownership of system architecture and design decisions for high-traffic production environments.

    • Support frontend development as needed to ensure a consistent, full-stack experience.



    Skillset

    • Minimum of seven years of full-stack web development, including at least 4 years focused on AI/ML engineering or managing large-scale data pipelines.

    • Expert backend engineering skills with Django, Python, REST APIs and relational databases (AWS RDS/Postgres).

    • Hands-on experience integrating AI/ML services via APIs (e.g. OpenAI, Anthropic, LlamaIndex).

    • Proven track record of serving AI models in production, building inference pipelines and optimizing performance.

    • Strong understanding of AI agent design, retrieval strategies and evaluation methodologies.

    • Competent in frontend development using Next.js and React.

    • Solid infrastructure expertise: AWS, Terraform, system monitoring, scaling, and resiliency.

    • Experience designing fault-tolerant systems supporting thousands of concurrent users.

    • Excellent communication skills with the ability to collaborate across teams effectively.



    Benefits

    • Competitive salary.

    • Equity.

    • Remote-friendly work environment.

    • Comprehensive health benefits.

  • Our client, a venture-backed AI startup, is hiring a Principal Front-End / Full Stack Engineer to join the team remotely. The successful candidate will lead the architecture and development of the user-facing platform, serve as the technical authority on front-end and middleware solutions, and guide the engineering team while shaping the overall product experience.


    Responsibilities

    • Lead the architecture, design and implementation of their front-end platform, ensuring scalability, reliability and exceptional user experiences.
    • Develop high-quality, maintainable full-stack code, integrating modern front-end technologies with AI/ML capabilities.
    • Provide technical leadership and mentorship to the engineering team, promoting a culture of growth and best practices.
    • Partner with product, design, and business teams to transform user requirements into intuitive, impactful technical solutions.
    • Continuously enhance engineering processes, code quality, and front-end performance.



    Skillset

    • At least 8 years of full-stack web development, including 5 years building complex front-end systems.
    • Proven track record architecting advanced front-end and middleware solutions.
    • Expertise in React, Next.js, modern CSS-in-JS and responsive design principles.
    • Experience integrating with back-end services and AI/ML APIs (e.g. OpenAI, Anthropic, LlamaIndex).
    • Comfortable translating Figma designs into functional interfaces and working with tools like Cursor or Windsurf.
    • Deep understanding of LLM APIs, prompt engineering, and AI workflow design.
    • Strong communication skills, able to explain complex technical concepts clearly.
    • Experience mentoring engineers, with a focus on front-end best practices.
    • Experience deploying AI/ML applications to cloud platforms is a plus.



    Benefits

    • Competitive salary and equity.
    • Fully remote working.
    • Comprehensive healthcare coverage.
  • Threat Hunter / Threat Detection Specialist
    Location: Dublin, Ireland (Hybrid)
    Contract Duration: 6–12 months, with possible extension
    Hours: Full-time (40 hours/week)
    Rate: Competitive & depending on experience


    Our client, a global consulting firm, are hiring an experienced Threat Hunting & Threat Detection Specialist to join their growing cyber security practice on a contract basis. The successful candidate will leverage their background in SOC operations and advanced detection engineering to proactively identify, investigate and neutralise threats across enterprise environments.


    Responsibilities

    • Lead proactive threat hunting to uncover malicious activity, anomalous behaviour and emerging threats.

    • Develop and maintain detection logic, use cases and playbooks within SIEM and threat detection platforms.

    • Analyze security event data and continuously enhance detection capabilities.

    • Collaborate with SOC teams to strengthen incident response workflows and knowledge transfer.

    • Deliver expert advice on threat detection strategy, tooling optimisation and security maturity.

    • Produce clear documentation, actionable intelligence and present findings to both technical and business stakeholders.

    • Mentor analysts progressing from SOC roles into advanced detection and hunting functions.



    Skillset

    • 3-7 years of experience in cybersecurity, with at least two years in threat hunting/detection.

    • Strong background in SOC operations with proven progression into threat hunting and detection engineering.

    • Experience mentoring SOC analysts or contributing to advanced detection practices.

    • Extensive Splunk expertise (search queries, dashboards, detection rules, alert optimisation).

    • Experience with SIEM, EDR, or XDR tools (e.g. Sentinel, QRadar, CrowdStrike, Carbon Black).

    • Familiarity with MITRE ATT&CK framework and adversary TTPs.

    • Scripting or automation (Python, PowerShell, Bash) desirable.

    • Proven ability to build or enhance detection frameworks.

    • Relevant certifications advantageous (e.g. GCFA, GCTI, GCDA, Splunk Certified, Security+).

  • Staff Machine Learning Engineer
    Location: Remote

    Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with ML? 

    Or not seeing your work directly impact the companies mission? 

    If so , my HealthTech client is looking for a Staff ML Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the ML solutions you feel is best. 

    You'll join a smart and curious team who like to be challenged working on areas like Recommender Systems, LLMs & NLP, Timeseries and MLOps.

    You'll achieve success here by combining your technical ML/AI end-to-end building skills with high positive energy and clear articulate communication skills. 

    What else is in it for you? 
    • Base Salary from 210-260k 
    • Equity/Stocks
    What do you need to be successful? 
    • Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal ML Engineer / Scientist
    • You can clearly articulate your thoughts and write and communicate them clearly.
    • Build ML/AI solutions end to end in the ML Lifecycle from research to production
    • Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
    • Can move with speed and intent and comfortable with life building a startup/scaleup
    Interested? Click the apply or For more info reach out at anthonyh@alldus.com
     
     
     
  • Our client, a fast-growing FinTech startup, are hiring a Founding Software Engineer to join the team in San Francisco. The successful candidate will work closely with the CEO to drive the company’s growth, develop innovative features, launch new products and tackle complex challenges in the deep learning and fraud detection space.


    Responsibilities

    • Partner with the CEO and core team to conceptualise, develop and launch innovative products.

    • Own end-to-end development across the stack, from frontend user experiences to backend systems and database design.

    • Rapidly prototype, test and iterate using Python and other tools to solve real-world problems.

    • Shape both the technical architecture and the company’s culture as a key founding team member.



    Skillset

    • Demonstrated technical excellence with a proven history of delivering high-quality, production-ready code.

    • Versatile across the engineering stack, from frontend improvements to backend architecture.

    • Prior experience as a tech lead or engineering manager.

    • Previous experience working in Fintech is a plus.

    • Passion for deep learning and AI-driven solutions.

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