AI Engineer Jobs

Our client, an AI-driven SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will tackle complex technical challenges in a true greenfield environment, playing a key role in shaping the company’s foundational infrastructure from day one, including ownership over architecture, tooling and their long-term technical direction.


Responsibilities

• Architect and implement full-stack features for their AI-driven SaaS platform.

• Design and build core backend systems, data models, APIs and infrastructure focused on scalability, performance and maintainability.

• Translate business and product objectives into clear technical strategies, making impactful design decisions in ambiguous or evolving contexts.

• Develop intuitive frontend experiences that present complex AI and contract insights in clear, actionable ways.

• Partner closely with the Head of Engineering and product teams to define priorities and deliver exceptional outcomes.

• Take full ownership of projects, from initial design and development through deployment, monitoring and iteration.

• Champion engineering best practices and contribute to shaping a strong, collaborative technical culture as the team grows.

Skillset

• At least 8 years of professional software engineering experience, with a strong track record in system architecture and technical ownership.

• Demonstrated ability to design and build complex backend systems or distributed services, ideally in greenfield environments.

• Proficient in Node.js, Go or Python, and experienced with modern frontend frameworks such as React or TypeScript.

• Skilled in cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.

• Strong system design expertise with the ability to evaluate trade-offs and architect scalable distributed systems.

• Hands-on experience developing agentic AI systems or LLM-powered applications is a bonus.

• Background in legal tech or B2B SaaS is a plus.

• Exceptional communication skills with ability to clearly articulate and defend architectural choices.

Benefits

• Salary: $180k - $200k

• Early-stage equity.

• Comprehensive benefits package.

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 leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company’s AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.

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.

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.

Our client, a fast-growing AdTech organization, is hiring a Software Engineer to join their team in California. The successful candidate will collaborate directly with the CTO and engineering team to build and improve the company’s cutting-edge AI-powered advertising platform.


Responsibilities

• Build and maintain responsive web applications, handling both front-end and back-end development.

• Work closely with product managers and designers to design and deliver new features.

• Help shape and enhance a groundbreaking AI-powered platform that’s redefining advertising.

Skillset

• Minimum of 3 years’ experience in full-stack development.

• Proficient in React and Python, with hands-on experience in frameworks such as Django or Flask.

• Familiar with Docker, SQL, and cloud environments like AWS, GCP or Azure.

• Previous experience in video, advertising or AI is highly desirable.

• Strong communication, problem-solving and collaboration skills.

Benefits

• Salary: $150k - $220k DOE.

• Comprehensive benefits package.

Our client, a fast-growing AdTech organization, is hiring a Machine Learning Engineer/Tech Lead to join their team in California. The successful candidate will build and scale advanced systems for prediction, recommendation and generative AI, as well be responsible for solving complex, large-scale machine learning challenges and delivering cutting-edge solutions.


Responsibilities

• Design, train and deploy ML models and large-scale systems for prediction, recommendation and content generation.

• Tackle advanced use cases including CTR/CVR prediction, ranking, fraud detection and cutting-edge generative methods (LLMs, transformers, diffusion models).

• Develop scalable algorithms combining deep learning, regression and hybrid rule-based techniques.

• Diagnose and resolve performance bottlenecks across infrastructure, tools and pipelines.

• Rapidly prototype, experiment and iterate on models using massive, real-world datasets.

• Guide and mentor junior engineers, and lead small technical projects when required.

• Leverage distributed computing and GPU environments to optimize model training and deployment.

Skillset

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

• At least four years of experience in software engineering or applied Machine Learning.

• Proven record of building and deploying large-scale ML systems in production.

• Experience driving technical direction, mentoring teams or leading cross-functional projects.

• Strong foundation in algorithms, data structures and ML fundamentals.

Benefits

• Competitive compensation.

• Comprehensive benefits package.

Our client, a fast-growing AdTech organization, is hiring an AI Research Engineer to join their team in California. The successful candidate will work closely with the Chief AI Scientist and research group to create and implement state-of-the-art AI models driving the company’s cutting-edge advertising technology.


Responsibilities

• Lead the end-to-end lifecycle of AI projects, from concept and design through to deployment.

• Research, design and experiment with LLM and multimodal models, advancing the state of generative AI.

• Partner with product and engineering teams to translate research outcomes into production-ready solutions.

• Contribute to cutting-edge research suitable for publication in leading AI conferences and journals.

Skillset

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.

• Solid understanding of algorithms, linear algebra, statistics and machine learning fundamentals.

• Strong programming proficiency in Python and modern ML frameworks such as TensorFlow or PyTorch.

• Demonstrated curiosity, creativity and passion for tackling complex technical challenges.

Benefits

• Salary: $190k - $250k DOE.

• Comprehensive benefits package.

Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up.


Responsibilities

• Architect and develop full-stack features for the company’s AI-powered SaaS platform.

• Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability.

• Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts.

• Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way.

• Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively.

• Take full ownership of your work from planning through deployment and monitoring.

• Help establish engineering best practices and contribute to shaping team culture as they scale.

Skillset

• At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership.

• Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects.

• Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript.

• Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.

• Strong system design skills, with the ability to evaluate and reason about architectural trade-offs.

• Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus.

• Experience in legal technology or B2B SaaS is a plus.

• Excellent communication skills, capable of explaining and defending architectural decisions.

• Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.

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? 

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