AI Engineer Jobs

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.

• 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? 

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 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 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, a cutting-edge AI-driven FinTech company, is hiring a Backend Engineer to join their team in Manhattan, New York. The successful candidate will design, build and iterate on exciting products end-to-end, working across React/Next on the frontend and Node/Typescript on the backend, taking features from initial concept all the way to production.


Responsibilities

• Rapidly translate customer pain points into fully realized, high-impact features.

• Ship and iterate on frontend, backend and infrastructure components, prototyping quickly and hardening for production.

• Enhance developer experience, code quality and system observability.

• Shape product direction and contribute to the roadmap using data and user feedback.

• Make informed architectural and coding decisions, balancing speed, scalability and reliability.

Skillset

• Bachelor’s degree in Computer Science, Engineering or similar.

• Minimum of two years of experience in software engineering, with a focus on backend systems.

• Proficient in Typescript across the stack.

• Experience building seamless experiences with React/Next on the frontend and Node on the backend.

• Ability to deliver real value by crafting intuitive UX and designing APIs that simplify the user experience.

• Experience with LLM integrations and deploying applications in the cloud.

Benefits

• Salary: $100K–$200K DOE

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

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 organization, is hiring an AI Engineer to join their growing team in Massachusetts. The successful candidate will be responsible to design, develop and implement AI-driven solutions that enhance efficiency, sustainability and performance across their technology platforms.


Responsibilities

• Design, develop and deploy AI systems and tools within the organization’s software ecosystem.

• Research, architect and prototype innovative AI/Machine Learning solutions to solve real-world problems.

• Communicate AI insights and best practices across multidisciplinary teams, including software, engineering and business functions.

• Partner with subject matter experts to define, refine and evaluate AI problem statements and performance metrics.

• Manage the complete AI development lifecycle - from data preparation and model creation to deployment, monitoring and ongoing optimization.

• Collaborate seamlessly with a remote, globally distributed team operating across multiple time zones.

Skillset

• Bachelor’s degree or higher in Computer Science, Data Science or similar.

• At least 3 years of experience developing Reinforcement Learning (RL) solutions, or working with LLMs and RAG implementations.

• Strong software development experience with strong proficiency in Python, including NumPy and PyTorch.

• Demonstrated ability to process and analyze complex, real-world datasets.

• Hands-on experience with IoT and time-series data.

• Practical experience with AWS, Docker, or similar cloud/container technologies.

• Solid understanding of MLOps practices and workflows.

• Familiarity with AI-driven industrial process control applications.

• Working knowledge of Test-Driven Development (TDD) principles.

• Proven experience collaborating with distributed, global teams.

Benefits

• Salary: $150k 

• Equity.

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 AI SaaS startup, are hiring a Senior AI/ML Engineer to join their product team in New York. The successful candidate will have the opportunity to tackle greenfield challenges and build core systems from the ground up.


Responsibilities

• Take ownership of the AI stack,  including selecting models, vector stores and cloud infrastructure to build a secure, high-performance pipeline.

• Manage the full AI workflow, including data ingestion, cleaning, training, evaluation, deployment, monitoring and fine-tuning.

• Operationalize AI by implementing CI/CD for models and data, ensuring reproducible experiments, monitoring for drift and maintaining usage dashboards.

• Optimize systems for enterprise requirements, balancing latency, cost, data privacy and compliance-friendly logging.

• Collaborate closely with product and engineering leadership to prioritize and execute high-impact initiatives.

• Make pragmatic technical decisions in ambiguous environments, balancing technical elegance with business needs.

• Help shape the engineering culture, tooling and processes in a fast-growing, early-stage startup.

Skillset

• Over 7 years of professional experience, including 5 years developing clean, production-ready code for distributed, cloud-native systems.

• At least 2 years of hands-on experience deploying LLM pipelines in production, with strong knowledge of tokenization, context windows, sampling strategies and common failure modes.

• Proven track record in shipping generative AI or NLP products that meet real-world constraints such as latency, cost and data privacy.

• Deep expertise in LLM tuning and retrieval, including prompting, RAG, embeddings, fine-tuning and hallucination mitigation.

• Strong expertise of broader ML/data science experience, transforming raw data into robust models.

• Experience in ML Ops, including CI/CD for models, experiment tracking, and production monitoring.

• Strong product instincts, able to prototype quickly, iterate and collaborate closely with domain experts.

• Demonstrated technical leadership through setting engineering standards, writing clear documentation and mentoring team members.

• Proficiency with ML/LLM tools and libraries, with the ability to explain complex code and system behavior clearly.

Benefits

• Salary: $160k - $220k DOE.

• Equity.