Applied AI Engineer Job at SOPHiA GENETICS (Boston)

Applied Ai Engineer

Build and ship AI features end-to-end (model → system → user experience); Design...

Location

China , Shanghai

Salary:

600000.00 - 1500000.00 CNY / Year

Randstad

Expiration Date

September 02, 2026

Requirements

Strong foundation in machine learning and modern neural network architectures
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments
Bias toward shipping, iteration, and continuous improvement

Job Responsibility

Build and ship AI features end-to-end (model → system → user experience)
Design and iterate on prompts, tools, memory, and agent workflows
Turn raw model outputs into structured, reliable, and predictable behaviors
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Develop lightweight evaluation frameworks to measure real-world performance
Work closely with product and engineering to translate ambiguous problems into working systems

Fulltime

Applied Ai Engineer

We’re partnering with a rapidly scaling, VC-backed fintech building an AI-first ...

Location

United States , New York

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong software engineering fundamentals with experience building production-grade applications and systems end-to-end
Proven startup experience – comfortable operating in fast-moving, ambiguous environments with high ownership
Hands-on experience developing user-facing applications, not just models (APIs, workflows, product features)
Experience with LLMs / GenAI (RAG, prompting, agents, evaluation, etc.)
Ability to move quickly from idea → prototype → production
Full-stack capability, or ability to leverage AI tools to fill gaps and ship complete features
Clear communicator with a strong product and user-centric mindset

Job Responsibility

Build and ship AI-powered product features (copilots, agents, automations, summarization, recommendations)
Design and scale LLM systems (RAG pipelines, tool use, orchestration layers, eval frameworks)
Rapidly prototype using cutting-edge tools (e.g. OpenAI, Claude, agent frameworks) and productionize what works
Own the full development lifecycle – from identifying opportunities to deploying and iterating in production
Partner closely with product, design, and end users to deliver meaningful outcomes
Continuously improve system quality across performance, reliability, and cost

What we offer

Real product impact
High ownership
AI-first environment
Exceptional team
Strong backing – $100M+ raised from top-tier investors
Massive growth – proven traction with rapid expansion ahead

Fulltime

Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Multiple Locations

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
3+ years technical engineering experience with coding in languages including C#, Java AND Python
2+ years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
2+ years experience developing software systems end-to-end, from design to implementation

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Applied AI Engineer

We are building something extraordinary at Payhawk, and we’re looking for a pass...

Location

Bulgaria , Sofia

Salary:

Not provided

Payhawk

Expiration Date

Until further notice

Requirements

Background in Computer Science, Mathematics, or a related discipline
Hands-on experience in the development, deployment, and fine-tuning of GenAI solutions in production environments
Desirable: experience with autonomous agents and agentic workflows, covering the entire lifecycle from design and development to deployment in real-world scenarios
Strong understanding of text representation techniques, feature engineering, model development, and prompt engineering
Familiarity with emerging trends in autonomous agents is a plus
Strong problem-solving abilities and a capacity to work independently
Ability to multitask, organize, and prioritize work
Exceptional integrity and work ethic

Job Responsibility

Design and implement autonomous AI agents that leverage LLMs for reasoning, planning, and decision-making
Measure and track performance of autonomous AI agents in terms of speed and accuracy across various complex tasks
Optimize and deploy LLM-based agents in production environments, ensuring efficiency, security, maintainability and reliability
Build robust evaluation pipelines to help us iterate over new versions of our end-to-end solution
Implement multi-agent systems where LLMs collaborate to solve tasks
Develop memory and context management strategies for long-term agent interactions
Collaborate with cross-functional teams to integrate machine learning solutions into scalable products
Stay abreast of the latest advancements in large language models (e.g., GPT, LLama, Gemma) and Transformer-based architectures
Explore the evolving field of autonomous agents and identify opportunities for innovative applications
Leverage cloud platforms, particularly GCP, to deploy and maintain ML solutions efficiently

What we offer

Competitive compensation package based on experience
30 days holiday paid leave
One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
Flexible working hours and opportunity to work from home
Regular team-wide events
Additional medical care
MultiSport card fully funded by us
Company office massages
Personal assistant service
Opportunity to use the Payhawk product (that is, essentially, built by you)

Fulltime

Applied AI Engineer

Join our team as an Applied AI Engineer, where you will drive real-world impact ...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for data analysis, modeling, and automation
Extensive hands-on experience with machine learning frameworks and libraries
Expertise in working with JSON data structures and API integrations
Ability to translate business requirements into deployable AI solutions
Excellent written and verbal communication skills, demonstrating a "care a lot" mindset for clarity and collaboration
Experience with version control systems and collaborative development tools
Self-driven, detail-oriented, and adaptable to a fast-paced remote work environment

Job Responsibility

Design, develop, and implement machine learning models to solve diverse business challenges
Collaborate cross-functionally to identify opportunities for AI integration and innovation
Preprocess, analyze, and interpret complex datasets using Python and related data tools
Develop APIs and data pipelines for seamless model integration and operationalization
Optimize models for performance, scalability, and robustness in production environments
Document methodologies, results, and workflows with clear, concise written communication
Communicate technical concepts to both technical and non-technical stakeholders effectively

Fulltime

Applied AI Engineer

A well-funded AI start-up is reimagining how software gets built – creating a pl...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of experience applying AI/ML to real-world, user-facing products
Strong foundation in machine learning, NLP, or gen AI – ideally with hands-on LLM experience
Proven software engineering ability – from model prototyping to scalable system design
Creative problem-solver comfortable moving from research to rapid implementation
Degree from a top-tier university (e.g. CMU, MIT, Stanford, Berkeley, etc.)
publications in leading NLP or ML conferences (e.g. EMNLP, ACL, NeurIPS, ICML, ICLR, AAAI etc.) are a strong plus

Job Responsibility

Build and refine LLM-powered systems for reasoning, command prediction, and workflow automation
Prototype and iterate intelligent agents that assist with software creation, debugging, and deployment
Develop prompt optimization and fine-tuning pipelines to improve performance and reliability
Design data-driven feedback loops that help the system continuously learn from usage
Work end-to-end: from research and experimentation to scalable deployment

What we offer

Be the first AI hire, with significant ownership and scope to shape the roadmap, technical vision and AI direction within the business
Work on problems at the intersection of AI research, developer experience, and product impact
Collaborate with exceptional engineers and researchers from leading tech companies
Fully remote across the US or Canada, with optional in-person meetups and offsites
Competitive compensation with meaningful early-stage equity
Backed by world-class investors and angels behind companies like Airbnb, Stripe, Salesforce, and OpenAI

Fulltime

Applied AI Engineer

At Multiverse, we believe technology should empower everyone to achieve their po...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

5+ years of Data Science, Machine Learning, or AI Engineering experience, with a proven track record of leading complex AI/ML projects from concept to production
Proficient in Python and its ecosystem (e.g. NumPy, Pandas, Scikit-Learn, PyTorch)
Deep experience with LLM orchestration (e.g. Langchain) and prompt engineering
Advanced knowledge of SQL and experience working with both structured and unstructured data
Strong proficiency in building APIs and microservices
Comfortable with GitHub, CI/CD, observability & evaluation practices, and Infrastructure as Code (e.g., Terraform)
Practical experience deploying and monitoring AI solutions within AWS, Azure or similar cloud environments
Analytical Rigour with exceptional attention to detail regarding data lineage and bias
User-Product first approach
Growth Mindset

Job Responsibility

Design & Deliver AI/ML solutions: Translate complex stakeholder queries and business hypotheses into actionable experiments and AI/ML model requirements
Architect LLM & Agentic Workflows: Design and integrate LLM-powered solutions (e.g., GPT, Claude, Gemini) for content generation and personalized learning
Own the End-to-End Lifecycle: Take full ownership of the journey from data lineage and preprocessing through to experimentation, deployment, evaluation and continuous iteration
Experimentation Rigour & Quality: Proactively monitor and refine models to optimise effectiveness while minimising sampling/analytical biases and operational challenges
Lead in MLOps & Infrastructure: Build and maintain scalable pipelines for model training and deployment using AWS and modern MLOps practices
Strategic Influence & Mentorship: Bridge the gap between technical concepts and business objectives by communicating actionable insights to stakeholders

What we offer

27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days and 8 bank holidays per year
private medical Insurance with Bupa
a medical cashback scheme
life insurance
gym membership & wellness resources through Wellhub
access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: weekly catch-ups, seasonal celebrations, and a kitchen that’s always stocked

Fulltime

Applied AI Engineer

The Applied AI team at Ramp is at the forefront of leveraging AI to drive innova...

Location

United States , New York, NY (HQ), San Francisco, CA

Salary:

155000.00 - 339500.00 USD / Year

Ramp

Expiration Date

Until further notice

Requirements

Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure
A track record of working on full-stack AI projects, particularly those involving production use cases of LLMs
Experience building backend systems and infrastructure that can support AI-driven products

Job Responsibility

Ship full-stack AI projects end to end
Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning
Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp
Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams

What we offer

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees

Fulltime

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