CrawlJobs Logo
Sapien Logo Sapien · IT - Software Development

Applied AI Engineer

United States, NYC · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

You'll build the AI agent capabilities that power Sapien's autonomous finance operations. This means designing novel architectures for reasoning over complex financial data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations. This is a research-meets-product role. You'll work on cutting-edge agent capabilities—from observability and library learning to semantic search and multi-modal parsing—and ship them directly into production for customers.

Job Responsibility

  • Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows
  • Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions
  • Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies
  • Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over
  • Design benchmarking and evaluation suites that quantify Sapien's accuracy, reliability, and business impact across different customer workflows

Requirements

  • Strong algorithmic thinking
  • Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures
  • Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback
Sapien - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Applied AI Engineer

8 matching positions

New

Applied Ai Engineer

As an Applied AI Engineer – Edge AI & Computer Vision, you will play a pivotal r...
Location
Location
Romania , Timișoara
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ideally 2–3 years of practical experience working on Machine Learning and Computer Vision systems deployed at the edge
  • Proven experience in moving machines learning models successfully from research environments to high-performance, real-time production environments
  • Bachelor’s degree in computer science, Engineering, Machine Learning, Mathematics, or a closely related technical field
  • Master’s degree in a related technical domain is highly preferred
  • Exceptional practical problem-solving and algorithmic skills
  • Highly analytical and able to identify trends, make data-driven decisions, and think critically to construct efficient solutions
  • Proactive and highly adaptable
  • comfortable navigating ambiguity in a fast-paced, rapidly evolving ML environment
  • Strong communication and teamwork skills
  • capable of aligning technical consensus and influencing peers with technical expertise while beginning to act as a mentor
Job Responsibility
Job Responsibility
  • Own and deliver key Machine Learning and Computer Vision components or features of a project
  • Design, execute, and deliver robust applications that interface with edge devices
  • Support graduated AI solutions throughout their production lifecycle, ensuring continuous reliability
  • Refine, refactor, and harden existing AI implementations to meet high-quality production standards
  • Design and implement targeted initiatives to optimize system efficiency, real-time performance, and pipeline output
  • Apply model optimization techniques (e.g., quantization, pruning, and latency tuning) for specialized, resource-constrained edge devices
  • Develop advanced-scope tools to automate research and development processes and enhance workflow efficiency
  • Manage production infrastructure for model training and serving, incorporating modern MLOps workflows and pipelines
  • Identify novel solutions and take an active role in designing modular application units
  • Expand on experimental results presented by research teams and successfully transition them from research to robust production environments
  • Fulltime
Read More
Arrow Right

Applied AI Engineer

Infer is building the operating system for insurance agencies. We make AI agents...
Location
Location
India , Bengaluru
Salary
Salary:
2000000.00 - 5000000.00 INR / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML engineering experience shipping production systems
  • Strong Python and a working ML stack (PyTorch, Huggingface, pandas, scikit-learn)
  • Hands-on experience designing LLM-based agents: prompting, tool/function calling, multi-turn state, structured outputs
  • Hands-on experience building evals or eval frameworks for ML, LLM, or voice systems. Built LLM-as-judge eval pipelines and know their failure modes
  • Practical experience with ASR/STT comparing providers, fine-tuning, or running open models like Whisper
  • Practical experience with TTS systems (ElevenLabs or open models)
  • Comfortable working with audio data: sample rates, codecs, noise, alignment
Job Responsibility
Job Responsibility
  • Building and maintaining the eval framework that scores voice agent quality across transcription, LLM reasoning, tool use, TTS, and full-conversation outcomes
  • Design voice agent behavior: system prompts, tool use, conversation flow, error recovery, and guardrails for real-time interactions
  • Drive STT and TTS accuracy improvements by comparing providers, tuning configurations, and running rigorous A/B experiments the team can act on
  • Drive TTS quality improvements voice selection, latency vs. fidelity tradeoffs, prosody, edge cases
  • Curate and grow our evaluation datasets, including hard-case mining from production traffic
  • You'll build benchmarks we can run against any new model in days, run a red-team pipeline that probes for jailbreaks, hallucinated quotes, and compliance failures
  • Partner with backend engineers to wire eval signals into CI so regressions get caught before they ship
  • Wire eval signals into CI so regressions block merges, and build self-improvement loops where hard cases from production auto-feed the eval set and our prompts optimize themselves over time
  • Fulltime
Read More
Arrow Right

Applied AI Engineer

Build something bigger than your career as Applied AI Engineer. Are you a senior...
Location
Location
United States , Boston
Salary
Salary:
88000.00 - 168000.00 USD / Year
sophiagenetics.com Logo
SOPHiA GENETICS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience with a senior engineer or product manager background from a top tech company building complex products
  • Strong hands-on building skills — you ship working software, not just diagrams
  • AI fluency is essential (LLMs, automation, modern AI tooling)
  • Dialed into modern engineering and product practices
  • Confident operator - you can walk into any function, diagnose what's broken, and drive change
  • Strong change management instincts - you can win over skeptical teams and make new ways of working stick
  • Comfortable moving between strategy conversations and shipping code in the same week
Job Responsibility
Job Responsibility
  • Build internal products and automations
  • AI enablement
  • Process and tooling improvements
  • Internal consulting on tech and product practices
  • Tech reporting and monitoring
  • Cross-functional alignment
  • Hands-on delivery support
What we offer
What we offer
  • Outstanding Medical, Dental & Vision with 90% Employer Contribution
  • Company matched 401K at 4%
  • Company-paid short & long-term disability insurance
  • FSA commuter benefits
  • 20 Days PTO, increasing to 25 with tenure
  • 5 Days Sick and 14 Public Holidays
  • Free EAP
  • Fulltime
Read More
Arrow Right

Applied AI Engineer

Join us as an Applied AI Engineer, to support the development and delivery of sc...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience using Python and machine learning frameworks such as PyTorch, TensorFlow or scikit-learn to build and support scalable solutions
  • Experience working with cloud platforms such as AWS or Azure, alongside data tools such as S3, Glue or similar technologies
  • Understanding of MLOps or LLMOps practices, with experience applying these in practical environments
Job Responsibility
Job Responsibility
  • Support the development and delivery of scalable AI and machine learning solutions across Barclays
  • Contribute to innovation within technology and business landscape
  • Help build and improve practical AI solutions aligned with business needs
  • Support consistent and responsible adoption across teams
  • Contribute to delivering enterprise AI solutions, ensuring they are reliable, secure and aligned with engineering and governance expectations
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Applied Ai Engineer

Build and ship AI features end-to-end (model → system → user experience); Design...
Location
Location
China , Shanghai
Salary
Salary:
600000.00 - 1500000.00 CNY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
September 02, 2026
Flip Icon
Requirements
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
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
Read More
Arrow Right

Applied Ai Engineer

We’re partnering with a rapidly scaling, VC-backed fintech building an AI-first ...
Location
Location
United States , New York
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Multiple Locations
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Applied AI Engineer

We are building something extraordinary at Payhawk, and we’re looking for a pass...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
payhawk.com Logo
Payhawk
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right