AI Engineer Jobs

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.

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

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 400 billion auctions per day. 

Exceeding that of any Google or Amazon programmatic ad marketplace.The ML team is building products that help increase latency and speed. 

A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin. 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 100% accurate. 
• 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

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.

 

Lead .NET Backend Engineer
Location: Nashville, Tennessee or Atlanta, Georgia

Our client, a Healthtech company using AI to improve the Patient-Clinician experience and reduce Clinician burnout is looking to hire a Lead .Net Engineer. 

You'll be working on core infrastructure that powers the real-time AI platform working on area like API dev, database and endpoint 
architecture, new features and integrations with EHR/EMR systems.

Using tools like .Net Core, C#, SQL/NoSQL and the Azure cloud functions. 

You will also get to work in a collaborative and autonomous high-impact environment helping to contribute to architectural decisions and supporting more Junior members with coaching.

What else is in it for you? 

• Comp: $150-175k 
• Work style: Hybrid (2-3 days in office ) 
• Benefits: healthcare, pension etc. 

What do you need to be successful? 

• Experienced in leading .Net dev teams as a Tech Lead or a Senior ready to take the step up. 
• Expert in .Net backend work like API development, database and endpoint architecture, new features and integrations with EHR/EMR systems
• Experienced in using the Azure suite functions. 
• Wants to be highly autonomous and working on high impact work that puts the customer at the heart. 

*Please note, Visa Sponsorship, C2C , C2H is not available at the time. 

For more information click apply or email me at anthonyh@alldus.com

 

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 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).

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 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, a growing AI-driven startup, is hiring a a Staff Platform Engineer to join the team in California. The successful candidate will design and scale their core infrastructure, driving projects that improve system reliability, boost developer efficiency and elevate operational standards within their talented engineering team.


Responsibilities

• Design and build scalable backend systems that support complex data labeling workflows, enable real-time collaboration, and incorporate large language model (LLM) capabilities.

• Lead infrastructure initiatives focused on deployment, observability and performance optimization within a cloud-native environment.

• Develop secure, modular APIs and services that seamlessly integrate with both internal tools and customer-facing applications.

• Work closely with engineers, product managers and data operations teams to advance the company’s platform features and capabilities.

• Establish and maintain observability best practices - including logging, metrics, tracing and health monitoring - to deliver an exceptional developer experience.

• Guide architectural decisions involving service decomposition, asynchronous processing, scaling strategies and high-availability systems.

• Take ownership of the reliability and performance of critical services, including distributed task routing, model integrations and data pipelines.

• Mentor engineering team members in creating scalable, maintainable systems using contemporary engineering best practices.

Skillset

• Minimum of 8 years’ experience in backend or platform engineering, preferably within fast-growing SaaS or AI infrastructure companies.

• Proficient in Python programming, with hands-on experience using frameworks such as FastAPI.

• Strong expertise in cloud platforms (AWS, GCP or Azure), including container orchestration technologies like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform.

• Experienced with SQL databases (e.g. PostgreSQL) and event-driven messaging systems (e.g. Kafka, RabbitMQ, Redis Streams).

• Well-versed in CI/CD pipelines, automated testing and deployment methodologies for large-scale production environments.

• Demonstrated ability to troubleshoot complex distributed systems, identify performance bottlenecks and build robust, resilient architectures.

• Comfortable working in early-stage, dynamic environments, taking initiative to identify and solve high-impact challenges.

• Experience integrating large language models (LLMs), working with ML/AI infrastructure or contributing to data labeling platforms is a plus.

Our client, an AI-driven organization impacting the healthcare sector, is hiring a Director of Engineering to join the team remotely. The successful candidate will lead the development and expansion of their innovative product suite, leading multiple full-stack teams to deliver scalable, high-quality, user-centric software.


Responsibilities

• Manage and expand several full-stack teams focused on building cutting-edge clinical AI solutions.

• Lead the continuous improvement of their product suite, including upgrading existing applications and launching new offerings.

• Work closely with product managers, designers and key stakeholders to speed up delivery and creatively test product assumptions.

• Advocate for engineering excellence and operational efficiency by setting clear, measurable goals for quality, speed and security.

• Ensure patient data privacy by enforcing secure coding practices and compliance throughout development.

• Collaborate with engineering leadership to establish the technical vision, architectural frameworks and engineering standards.

Skillset

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

• At least 12 years of experience in software engineering, including a minimum of 4 years in leadership roles.

• Demonstrated track record of successfully bringing new software products to market and scaling engineering teams.

• Strong business acumen with the ability to align technology initiatives to organisational objectives.

• Deep expertise in Domain-Driven Design and contemporary software architecture principles.

• Experience working in startup environments, ideally within the healthtech sector.

• Prior experience as a startup founder or leading teams in high-growth startup settings is a plus.

• Outstanding communication skills.

Benefits

• Salary: $260,000 - $300,000 DOE.

• Equity.

Our client, a leading Fintech company, are hiring a Staff Machine Learning Engineer to join their Applied AI team remotely. The successful candidate will be responsible for developing and deploying AI-powered multi-agent systems, human-in-the-loop co-pilots, specialized financial models and seamless legacy system integrations to automate processes, improve workflows and optimize existing financial technologies.


Responsibilities

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

Skillset

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

Benefits

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.