Applied AI Engineer Job at Serval (San Francisco)

Applied AI Engineer

Join us as an Applied AI Engineer, to support the development and delivery of sc...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

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

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

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Applied Ai Engineer

As an Applied AI Engineer – Edge AI & Computer Vision, you will play a pivotal r...

Location

Romania , Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

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

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

Applied AI Engineer

Infer is building the operating system for insurance agencies. We make AI agents...

Location

India , Bengaluru

Salary:

2000000.00 - 5000000.00 INR / Year

Helpcare AI

Expiration Date

Until further notice

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

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

Applied AI Engineer

Build something bigger than your career as Applied AI Engineer. Are you a senior...

Location

United States , Boston

Salary:

88000.00 - 168000.00 USD / Year

SOPHiA GENETICS

Expiration Date

Until further notice

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

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

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

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

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