AI Engineer Jobs

Our client, a well-funded AI startup, is hiring a Full-Stack Engineer with strong Machine Learning expertise to join their team in New York. The successful candidate will help define the product, architecture and culture from the ground up, from owning core systems, driving key technical decisions without bureaucracy and deploying your work into enterprise AI environments within weeks.


Responsibilities

• Take ownership of projects end-to-end, from backend APIs to frontend dashboards to LLM integrations.

• Design, build and deploy full-stack features that power their AI agent platform.

• Create and maintain evaluation pipelines for LLMs, including RAG and agentic workflows.

• Build monitoring and analytics tools to measure reliability, accuracy and trustworthiness.

• Partner with researchers to turn cutting-edge evaluation and correction techniques into production-ready features.

• Deploy secure, scalable services on AWS/GCP with Docker and Kubernetes.

Skillset

• At least 5 years of experience building and scaling production-ready backend and frontend systems.

• Strong skills in Python and TypeScript/React, plus proficiency in at least one strongly typed backend language (Go, Java, or C++).

• Hands-on experience with AWS or GCP, Docker/Kubernetes, and modern CI/CD pipelines.

• Familiarity with LLM tooling (e.g. LangChain, Pinecone, vector databases) is a strong plus.

• Comfortable working across the stack, from system architecture to debugging to UI polish.

• Experience with RAG or agentic evaluations or deploying AI agents in production is a plus.

• Prior experience working in a fast-paced startup is a bonus.

Benefits

• Salary:  $150K - $170K

• Equity.

• Health, dental and vision insurance.

• 401(k).

Our client, an established IT Services provider, are hiring a Director of Commercial / Public Sector ServiceNow Delivery to join the team in Kentucky. The successful candidate will oversee the delivery of high-profile ServiceNow programs, ensuring exceptional execution, client satisfaction and business growth across both commercial and public sector initiatives.


Responsibilities

• Lead the delivery of ServiceNow programs for commercial and public sector clients, ensuring successful outcomes and client satisfaction.

• Oversee portfolio planning, resource allocation, risk management and performance tracking across multiple projects.

• Design and implement scalable delivery frameworks aligned with company objectives and the NOW Methodology.

• Align quarterly and annual delivery plans with strategic priorities and revenue targets.

• Serve as the senior delivery leader and client advocate, cultivating trusted relationships with executive stakeholders.

• Collaborate with Sales, Solutions Engineering and PMO teams to shape new opportunities, support SOWs and plan resources.

• Provide leadership in proposal development and bids, including complex public sector RFPs.

• Lead, mentor and inspire Delivery Leads and their teams, promoting a high-performance and inclusive culture.

• Champion Agile and hybrid delivery methodologies, tailoring approaches to client needs.

• Drive continuous process improvement, lessons learned and development of tools for scalable delivery.

Skillset

• Minimum of 6 years’ experience in leading ServiceNow engagements within commercial and/or public sector settings.

• Strong leadership experience in IT services or enterprise SaaS delivery.

• Proven track record of delivering large-scale ServiceNow implementations, ideally managing portfolios of $5M or more.

• In-depth knowledge of the ServiceNow platform, modules and full implementation lifecycle.

• Practical experience working with federal, state or local government clients.

• Expertise in organizational change management and business transformation initiatives.

• Strong financial acumen, including budget oversight, forecasting and profitability management.

• Outstanding communication and stakeholder management skills at the executive level.

Our client, an AI-driven company revolutionizing the healthcare sector, is hiring a Staff Front End Engineer to join their team in California. The successful candidate will lead the frontend development for their imaging and robotics platforms, playing a key role in creating scalable, high-performance and intuitive user interfaces tailored for real-time Healthtech applications.


Responsibilities

• Design and build a modular, scalable frontend architecture using Qt6 and modern C++.

• Create user-friendly UI interactions to handle complex datasets, live image streams and multi-panel visualizations.

• Enhance rendering pipelines by leveraging GPU acceleration and multithreading to achieve smooth, low-latency performance.

• Work closely with backend developers, imaging scientists and hardware engineers to ensure seamless software integration.

• Develop and maintain comprehensive testing frameworks, including unit tests, UI regression tests and continuous integration workflows.

• Lead code reviews and promote best practices in software architecture, design and maintainability.

Skillset

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

• At least 5 years of experience designing and developing Qt-based GUIs (Qt6, QtQuick/QML, QtStudio).

• Minimum of 5 years of professional experience with modern C++ (C++17 or later), including advanced concepts such as RAII, move semantics, concurrency and metaprogramming.

• Demonstrated success in building responsive, high-performance user interfaces for data- or image-intensive applications (e.g. medical imaging, CAD/CAM, instrumentation).

• Expertise in rendering and visualization technologies, including GPU acceleration (OpenGL/RHI), high-resolution image rendering and real-time visualization.

• Proven experience with cross-platform development and deployment using tools such as CMake and Linux.

• Strong understanding of frontend-backend integration within low-latency, high-bandwidth systems.

• Comfortable interfacing with custom hardware, image acquisition pipelines and sensor drivers.

• Proficient in unit testing, automated UI testing, performance benchmarking, and profiling tools (Valgrind, perf, Qt Creator Analyzer).

• Excellent analytical, communication and problem-solving skills.

Benefits

• Salary: $145k-165k DOE.

• Comprehensive benefits package.

Our client, an exciting Series B Startup innovating the Fintech industry, is hiring a Principal Engineer to join their New York team remotely. The successful candidate will play a key role in expanding their cutting-edge FinTech and data platform, driving advancements in financial health, identity services and inclusive decision-making for both individuals and businesses.


Responsibilities

• Drive the design and development of advanced back-end services, data platforms and AI/ML models that serve millions of users.

• Work collaboratively with cross-functional teams, including engineering managers, product owners and designers.

• Offer technical leadership, mentorship and support the professional growth of engineering team members.

• Lead project planning and execution while fostering team expansion through recruiting and onboarding efforts.

• Champion and uphold the company’s culture and commitment to operational excellence.

Skillset

• Master’s degree in Computer Science or similar, with a minimum of 10 years of engineering experience.

• Proven expertise in back-end development, microservices, API-driven and event-driven architectures and data platform engineering.

• Strong proficiency with AWS services such as DynamoDB, ECS/EKS, RDS, S3, SNS/SQS and Lambda.

• In-depth knowledge of credit reporting, lending, banking, payments, identity or other financial services domains.

• Advanced programming skills in Go, Python, C++ or Java.

• Hands-on experience with relational and NoSQL databases, microservices and event-driven system designs.

• Competence in building and deploying machine learning models, with a solid understanding of ML concepts.

• Familiarity with ETL/ELT tools like Airflow, Dagster, Prefect, and cloud data warehousing with Snowflake.

• Demonstrated leadership in product and business strategy, including roadmap planning and successful delivery.

• Excellent communication skills, able to effectively connect technical and non-technical stakeholders.

Benefits

• Salary: $200,000 - $220,000.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) with a 4% company match.

• Remote Working (US Only).

Our client, a forward-thinking financial services firm, is hiring a Software Engineer to join their team in London. The successful candidate will drive the evolution of AI-assisted development within the organisation and help shape the future of AI in software engineering.


Responsibilities

• Drive the implementation of AI-assisted development tools, including chat-based agents and code review accelerators.

• Architect and develop in-house AI-driven tools that seamlessly integrate with existing engineering workflows.

• Leverage internal data to apply techniques such as fine-tuning and retrieval-augmented generation for tailored AI solutions.

• Build and maintain robust integrations between AI systems and internal platforms to enhance contextual relevance and usability.

• Define and track key metrics to evaluate AI tool performance and inform strategic investment decisions.

• Establish and promote best practices for secure, observable and ethical AI usage in software development.

• Monitor the evolving AI landscape and identify opportunities to bring emerging technologies into real-world engineering applications.

• Partner closely with developers to validate ideas, collect feedback and continuously improve AI-powered tools.

Skillset

• Solid engineering foundation with advanced proficiency in Python and additional experience in C++ and C#.

• In-depth knowledge of developer workflows and how to enhance them through AI integration.

• Hands-on experience designing and deploying LLM-based tools in production environments.

• Skilled in prompt engineering, embeddings and fine-tuning to tailor LLM performance for specific use cases.

• Strong analytical mindset with a data-driven approach to evaluating developer productivity and tool impact.

• Strategic understanding of the trade-offs between third-party APIs, open-source models and in-house AI solutions.

Benefits

• Salary: £100k (including bonus).

• 27 days of annual leave, plus all UK public holidays.

• Private medical insurance, pension scheme and fitness membership.

Senior ML/AI Engineer
Location: USA (Remote)

My client is a growing HealthTech org heavily invested in being an AI-First culture. 

You will get to join a new AI team to help create and build AI & ML systems across the operations of the business involving work from NLP/LLM use cases to traditional machine learning systems. 

If you like solving business problems, building and owning high impact systems this could be the role for you. 

You will get to build AI solutions that enhance precision care, patient engagement and operational efficiency.

Your day to day will largely involve digging into the data, identifying uses cases and building out from MVP to productionized ML systems. 

Leading the design, development, and fine-tuning of large language models (LLMs), Multimodal systems, ML systems (using tools like Pytorch) and bringing them to production with MLOps frameworks.

What's in it for you? 

• Lead from the front , reporting to the SVP , help scope, design and build use cases and systems
• $160k - 200k Base Salary
• Up to 10% Bonus
• Fully remote work
• Access to to a wealth of data, impactful work and autonomy.

If you are interested in learning more send your CV into us or email me anthonyh@alldus.com

Engineering Manager - Data Science & Machine Learning
Location: London,UK or Berlin, Germany

Are you a Data Science or Machine Learning Manager tired of the lack of investment or buy in from your executives? 

Or searching for that excitement again when building products that you can directly see tangible outcomes? 

If yes, check out the below:

An industry leading org built around fairness and sustainability within adtech is building products that can handle 500 billion auctions per day. 

Exceeding that of any Google or Amazon programmatic ad marketplace.
The ML team is building products that help improve latency and speed. 
At the cutting edge of Traffic Optimization they are now in territory that has little to no research or published papers on. 

A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin and London. Their Executives call the ML team the "secret sauce" to their evolution. 

What's in it for you? 

• Salary £140-160k
• Hybrid Working environment
• Build at Scale - work on products that overshadow Google and Amazon search scales AND see direct impact through visible KPI's
• Buy in from Execs - No headaches around trying to get the smallest thing approved.
• Work in an environment that believes in constantly innovating with a product mindset (iterate , test then build)
• Progression - room to grow into a senior and then director. 

Sounds good? 

Check the below to see how to be successful in this role

What will you need to be successful? 

As the Engineering Manager you will be the right hand of the VP of ML.
To succeed in this role you need the core 4 skills. 

1. People Leadership:

• Get into the heads of your engineers understand their strengths and weaknesses, empower them , grow them understand how changes can benefit them.
• You need to know how to make your team tick in sync and proven experience of doing this before. 

2. Processes: 

• They are no longer a startup, moving from scrappy to self-sufficient & organized is a big goal for this Data Science team. Getting your team processes structured and self sufficient is a key piece of the puzzle for this hire to be successful. 

3. Data Science & ML: 

• You need to know how these models work and all the different variables that can go wrong. Models outputs are not always correlating with high accuracy. 
• While not expecting you have Spidey like senses the data science intuition of knowing that a models output may be missing something is really critical and saves them a lot of €€€'s. 

4. Engineering:

• While any ML org would love just to do R+D the team have to make money. So having successfully built and launched products in Machine learning is the final core skill for the Engineering Manager. 
• Understand the challenges and how to of getting Data Science and ML models into production and the lifecycle of an ML product will help you achieve success in this role.

If you think you could thrive in this role get in touch via apply or drop me an email at anthonyh@alldus.com

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.


Responsibilities

• Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.

• Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.

• Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.

• Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.

• Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.

• Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.

Skillset

• PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.

• 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.

• Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.

• Strong programming proficiency in Python and SQL.

• Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.

• Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.

• Practical experience using PyTorch, Scikit-learn and Generative AI models.

• Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.

• Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.

• Background working in FinTech, PropTech or startup environments is a bonus.

Benefits

• Salary: $200,000 - $235,000.

• Equity.

• Remote working.

• Comprehensive health, dental, and vision insurance.

• 401(k).

Our client, an exciting HealthTech organization, are hiring an AI Engineer to join the team in New York. The successful candidate will lead the architecture, development and deployment of Agentic AI and production-grade LLM applications, as well as design intelligent, scalable and resilient AI-based systems that drive real impact, transforming clinical and scientific workflows.


Responsibilities

• Design and architect agentic AI systems that address complex, real-world problems with clarity and precision.

• Lead the development of advanced prompting strategies and drive prompt engineering for production use.

• Make strategic decisions on model selection, workflow orchestration and system optimization.

• Establish and promote best practices for AI system reliability, observability and performance.

• Develop and maintain LLM-powered applications using modern Python frameworks.

• Build robust, asynchronous task-handling systems leveraging technologies like SQS and Redis.

• Architect fault-tolerant systems to handle LLM unpredictability and service disruptions gracefully.

• Mentor and guide engineers on AI architecture, agentic design and production tooling.

• Lead the adoption of emerging AI frameworks and tools across the organization.

• Play a key role in defining the AI roadmap and shaping the long-term technical direction.

Skillset

• PhD in Computer Science, Machine Learning or similar with at least 5 years of experience building, deploying and scaling production-grade AI/ML applications.

• Proven expertise in advanced prompt engineering and deploying LLM workflows in production environments.

• In-depth knowledge of agentic AI patterns and orchestration frameworks.

• Hands-on experience managing LLM operations, including deployment, scaling and lifecycle management.

• Strong command of modern Python, including asyncio, FastAPI and related frameworks.

• Familiarity with agentic and LLM tools such as LangGraph, PydanticAI or equivalent.

• Experience working with leading foundation models, including Claude, GPT-4 and others.

• Solid understanding of distributed systems, asynchronous processing and queuing technologies (e.g. SQS, Redis).

• Deep interest in applying AI to solve real-world challenges in healthcare and life sciences.

• Excellent written and verbal communication skills, with the ability to convey complex ideas clearly.

Benefits

• Salary: $180k - $200k

• Bonus.

• Comprehensive benefits package.

Senior Software Engineer - Data / ML
Location: SF,CA or Remote

My client is building and scaling a Clinical Data Intelligence Platform to improve how Clinicians work with patients and their healthcare data.

As a Software Engineer you will be working with data-intensive systems that leverage AI and machine learning and  design/implement/improve core components in the Clinical Data Intelligence Platform.

You will get to work on complex, open-ended problems, building/shipping intelligent solutions, and rapidly iterating over their improvement. Areas like clinical/health information extractors, summarizers, data pipelines , improving knowledge graphs and improving data and ML systems. 

Some tools you get to use are: Python, SQL, Pytorch, GCP and a mix of some front end tech like typescript. 

What else is in it for you? 

• Base Salary up $180- 200k 
• Equity
• Fully Remote work
• Autonomy and impact with building things that help improve healthcare.

 

Our client, an innovator in the environmental industry, are hiring a Full Stack Developer to join the team in New York. The successful candidate will join their growing software team, responsible for driving the development of their next-generation platform and ensuring smooth, scalable cloud operations.


Responsibilities

• Design and implement reliable backend services to support high-volume, real-time recycling operations.

• Create responsive, user-centric frontends.

• Develop and maintain software powering their AI-based platform, including customer portals, recycling centre dashboards and internal BI tools.

• Work closely with a collaborative, fast-moving team to enhance system performance and elevate the user experience.

• Support and evolve their cloud infrastructure, focusing on scalability, security and operational excellence.

Skillset

• At least 3 years of experience working across the full stack in a production environment.

• Proven ability to build scalable backend systems using Python and Flask.

• Hands-on experience crafting intuitive frontends with React, JavaScript and/or TypeScript.

• Strong grasp of SQL and relational database design.

• Comfortable working with cloud infrastructure such as AWS, GCP or Azure.

• Solid understanding of security principles and best practices for authentication.

• Experience integrating with IoT devices or working at the intersection of hardware and software is a bonus.

Benefits

• Salary: $80k - $120k.

• Remote working options.

Our client, a leading FinTech organization, are hiring a Principal Machine Learning Engineer to join their Applied AI team in New York. The successful candidate will take technical ownership of a key product line, specializing in generative AI solutions that leverage large language models (LLMs) at their core.


Responsibilities

• Shape and execute the company’s AI strategy to drive continuous innovation and business growth.

• Work closely with product and engineering teams to develop comprehensive, end-to-end AI-powered products.

• Design and implement multi-agent systems that automate workflows and enhance operational efficiency.

• Develop AI-driven co-pilot tools to optimize advisor processes such as prospecting, conversion, onboarding and client servicing.

• Build tailored models to manage complex financial interactions, delivering fast, actionable insights.

• Create innovative solutions to seamlessly integrate and optimize legacy systems with modern AI technologies.

• Lead rapid zero-to-one product development cycles, including prototyping, testing and feature integration.

• Design and fine-tune both open-source and proprietary large language models for applications including question answering, summarization, reasoning and planning.

• Employ reinforcement learning methods to continually enhance model accuracy and performance.

Skillset

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

• At least 7 years of experience in applied AI engineering, including at least 2 years in a technical leadership capacity.

• Demonstrated success delivering generative AI products based on large language models.

• Expertise in creating agentic workflows that enable autonomous AI functions.

• Previous experience in early-stage startups or building products from the ground up.

Benefits

• Salary: $200,000 - $250,000

• Equity.

• Comprehensive health, dental and vision insurance.

• Retirement benefits.

Our client, an AI-driven company revolutionizing GovTech, is hiring an experienced Full Stack Engineer to join the team remotely. The successful candidate will take a leading role in developing and improving their AI-driven platform, integrating state-of-the-art AI technologies to drive technical innovation and deliver meaningful impact to customers.


Responsibilities

• Own the end-to-end software development process, from concept through to deployment.

• Collaborate closely with product and design teams to transform user requirements into scalable, effective technical solutions.

• Enhance system performance, stability and security.

• Drive ongoing innovation by adding new features and refining existing functionalities.

• Rapidly diagnose and fix technical issues to maintain seamless platform performance.

Skillset

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

• At least 5 years of software development experience focused on SaaS platforms in early growth-stage companies.

• Expert in rapid prototyping and development using React and Next.js.

• Proficient in backend development with Python.

• Experience building responsive, mobile-friendly web applications.

• Skilled in AI and developer tools including LangChain, LangGraph, Agentic AI and vector databases.

• Familiar with OpenAI/AzureAI APIs and integrating vector databases is a plus.

• US Citizenship with ability to pass a Federal Background Check and Identity Verification.

Benefits

• Competitive salary.

• Stock options.

• Comprehensive health package for you and your family.

• Remote working (within the United States).

Our client, an AI-driven company revolutionizing GovTech, is hiring an experienced Senior Frontend Engineer (UX) to join the team remotely. The successful candidate will take full ownership of the company’s design system and overarching design principles, ensuring a unified and scalable experience across all platforms.


Responsibilities

• Lead the development and advancement of Figma practices, design patterns and workflows that promote smooth collaboration between design and engineering teams.

• Conduct thorough user research, such as interviews, usability testing, and behavioral analysis, to guide and validate design choices.

• Create user-friendly AI-driven experiences that make complex technology accessible and intuitive for users of varying expertise.

• Work closely with product and engineering teams to transform user insights into compelling, business-focused design solutions.

• Drive continuous innovation in design methods, utilizing AI-powered tools to boost efficiency and elevate design quality.

• Develop and maintain comprehensive design documentation, standards and processes that support fast, consistent delivery of superior user experiences.

Skillset

• U.S. citizen with the ability to successfully complete a Federal Background Check and Identity Verification.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Design or equivalent.

• At least 5 years of experience in SaaS, preferably within fast-growing startups, demonstrating strong expertise in user-centered design.

• Proficient in Figma, including building and managing design systems, component libraries, prototyping, and supporting collaborative workflows.

• Experienced in AI-assisted design processes and creating AI-powered products that simplify complex functionalities for users.

• Skilled in designing responsive web and mobile user interfaces.

• Experience crafting interfaces for data-intensive dashboards and analytics tools.

• Understanding of accessibility guidelines and commitment to inclusive design practices.

Benefits

• Competitive salary.

• Stock options.

• Comprehensive health package for you and your family.

• Remote working (within the United States).

Our client, an AI-driven company revolutionizing GovTech, is hiring a Software Developer with hands-on experience in Generative AI and Large Language Models (LLMs) to join the team remotely. The successful candidate will help power their AI-first platform by integrating advanced technologies that deliver exceptional speed, intelligence and value to users.


Responsibilities

• Architect, build and launch AI-driven features across the platform.

• Implement LLMs and Agentic AI into practical applications using frameworks like LangChain.

• Partner with product and design teams to transform concepts into functional, scalable software.

• Continuously enhance system performance, reliability and security.

• Diagnose and resolve technical challenges at the system level.

• Keep up to date with emerging AI technologies and contribute to ongoing innovation efforts.

Skillset

• U.S. citizenship required, with the ability to pass a Federal Background Check and identity verification.

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

• Minimum  of three years of software development experience, ideally within a SaaS environment.

• Hands-on experience with Generative AI models such as GPT, Claude or Gemini.

• Proficiency with frameworks like LangChain, LangGraph and Agentic AI.

• Strong backend development skills using Python.

• Expertise in React and Next.js for frontend development.

• Familiarity with vector databases and embedding workflows.

• Experience fine-tuning LLMs or integrating with APIs such as OpenAI or Azure AI is a bonus.

Benefits

• Competitive salary + Equity.

• Comprehensive benefits package including health, vision and dental coverage.

• 100% remote working (within the United States).