Ai application engineer Job at Randstad (Tokyo)

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Ai Application Engineer

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

South Korea , Seoul

Salary:

Not provided

Boeing

Expiration Date

Until further notice

Requirements

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Hands-on experiences with designing, developing and deploying part of an end-to-end AI solutions in production environments
Proficiency in one of the modern programming languages (e.g., Python, JavaScript, TypeScript, Golang)
Proficiency in at least one of the following areas: -Front-end development with modern framework(e.g. React, NextJS) -Back-end development with Python (e.g., FastAPI) -Machine learning model serving (e.g. ONNX runtime, triton, bentoML)
Knowledge of model deployment on infrastructure-agnostic environment (e.g., Kubernetes, Docker-Compose)
Knowledge of CI/CD tools (e.g., GitLab CI, Argo CD, Jenkins) and monitoring tools (e.g., Grafana, Prometheus)
Knowledge of ML Model development (e.g., PyTorch, TensorFlow) and deployment experiences (e.g., ONNX)
Effective verbal and written English communication skill

Job Responsibility

Develop, deploy, and maintain AI/ML pipelines, and application
Build software verification systems that comply with aviation safety requirements
Work effectively within an international team using English communication

What we offer

Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations

Fulltime

AI Application Engineer

We are currently seeking a AI Application Engineer to join our team in Bengaluru...

Location

India , Bengaluru

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4–7 years of software engineering experience with at least 2 years focused on production LLM application development
Expert-level experience with Python for AI/ML application development and async programming
Strong expertise in prompt engineering including system prompts, few-shot prompting, and tuning instruction
Hands-on experience with multi-step LLM orchestration frameworks such as LangChain or LlamaIndex
Experience designing and optimizing RAG pipelines and retrieval systems
Experience with vector databases, similarity search tuning, and reranking techniques
Experience implementing AI safety and guardrails for customer-facing applications
Strong knowledge of automated AI evaluation frameworks such as RAGAS or TruLens
Experience profiling and optimizing latency in multi-step AI pipelines
Bachelor’s degree in computer science, Engineering, Artificial Intelligence, or equivalent work experience

Fulltime

Ai Application Engineer

Location

United States , Santa Clara

Salary:

130000.00 - 170000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years of software engineering experience with at least 2 years focused on production LLM application development
4+ years of experience with Python for AI/ML application development and async programming
3+ years of experience with multi-step LLM orchestration frameworks such as LangChain or LlamaIndex
3+ Years of Experience designing and optimizing RAG pipelines and retrieval systems
3+ Years of Experience with vector databases, similarity search tuning, and reranking techniques

Job Responsibility

Design, develop, and optimize production-grade LLM-powered applications
Own AI quality, RAG accuracy, prompt engineering, and AI safety across multiple applications
Develop and maintain multi-step LLM orchestration pipelines using LangChain, LlamaIndex, or custom frameworks
Implement and optimize RAG pipelines including chunking strategies, embedding selection, reranking, and hybrid search
Design multi-turn conversational AI experiences with context management and session memory
Integrate NVIDIA technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI applications
Build automated evaluation pipelines for model quality, hallucination detection, regression testing, and release gating
Perform latency profiling and optimization across multi-step LLM call chains
Implement AI safety guardrails including prompt injection prevention, jailbreak mitigation, and topical control
Collaborate with globally distributed engineering and product teams to deliver scalable AI solutions

Fulltime

Ai Application Engineer

We’re looking for an Application Engineer who thrives on solving hard problems w...

Location

Singapore , Singapore

Salary:

Not provided

Arize

Expiration Date

Until further notice

Requirements

2-5 years of experience in software
Strong in Python and Golang
Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts
Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc)
Familiarity or eagerness to learn JavaScript/TypeScript
Great debugger, creative problem solver, and fast learner
Independent and resourceful

Job Responsibility

Debug and fix issues in our platform (and ship PRs with your fixes)
Build internal tools and copilots powered by generative AI to supercharge our team
Rapidly prototype proof-of-concepts for customer use cases
Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption

What we offer

unlimited paid time off
generous parental leave plan
mental and wellness support

Fulltime

Ai application engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great prod...

Location

China , Shanghai;Shenzhen;Beijing

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Developer enablement with leading open-source communities and AI frameworks, including PyTorch, vLLM, SGLang, Unsloth, PaddlePaddle, Mooncake, TileLang, LangChain, VERL, and LLaMA-Factory, across both training and inference workflows
Strong experience with LLMs and Generative AI, including transformer architectures, attention mechanisms, MoE models, and end-to-end AI pipelines
Solid understanding of GPU-accelerated computing
familiarity with the ROCm AI software stack is strongly preferred
Proven ability to collaborate effectively with open-source software communities to drive developer enablement and ecosystem activities
Excellent communication and presentation skills, with the ability to clearly articulate architectural proposals, technical trade-offs, and value propositions to diverse stakeholders
Bachelor's degree required
Master's degree preferred

Job Responsibility

Capture and prioritize developer and customer requirements to shape AMD's AI software feature planning and solutions roadmap
Lead and contribute to collaboration with AI open-source projects, strengthening the developer community and broader ecosystem
Partner with internal AI software engineering teams to drive developer enablement through performance optimization, OSS contributions, Discord/GitHub support, AI Academy initiatives, solutions, reference designs, blogs, tutorials, and user guides
Work closely with internal AI software teams to ensure the success of AI developers, communities, and customer proof-of-concepts (PoCs)
Provide actionable feedback and requirements for AI software across cloud, client, and edge deployments

Fulltime

Ai Application Engineer

We’re looking for an Application Engineer who thrives on solving hard problems w...

Location

Argentina , Buenos Aires

Salary:

Not provided

Arize

Expiration Date

Until further notice

Requirements

2-5 years of experience in software
Strong in Python and Golang
comfortable shipping fixes in production systems
Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts
Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc)
Familiarity or eagerness to learn JavaScript/TypeScript
Great debugger, creative problem solver, and fast learner
Independent and resourceful. You create solutions, not dependencies

Job Responsibility

Debug and fix issues in our platform (and ship PRs with your fixes)
Build internal tools and copilots powered by generative AI to supercharge our team
Rapidly prototype proof-of-concepts for customer use cases
Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption

What we offer

Unlimited paid time off
Generous parental leave plan
Mental and wellness support

Fulltime

AI Application Engineer

Location

Brazil , Campinas

Salary:

Not provided

4flow AG

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field
2+ years of hands-on experience in developing and deploying AI-driven applications in real-world environments
Strong programming skills in Python with experience building production-grade, maintainable software
Practical experience with AI/ML frameworks
Solid understanding of AI/ML algorithms, model training, evaluation, and optimization techniques
Experience with RESTful APIs, AI model serving, and microservices-based architectures
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud-native AI application deployment
You communicate confidently in English
You are available to work in a hybrid model at our Campinas office

Job Responsibility

Design, develop, and implement AI-driven applications and services that address complex business challenges and generate value for customers
Collaborate with cross-functional teams, including product managers, data engineers, data scientists, and business stakeholders, to translate business requirements into AI-based solutions
Develop, integrate, and deploy AI models, algorithms, and APIs into scalable AI agentic designs
Contribute to AI architecture design, including model selection, data pipelines, deployment strategies, and scalability considerations
Collaborate on the deployment, monitoring, and continuous improvement of AI-based solutions in cloud-native, production environments

What we offer

Caju multi-benefit card
Fuel or transportation allowance
Comprehensive health and dental plans fully covered for employees and dependents
Life insurance
Comprehensive well-being initiatives, including Wellhub, our Employee Assistance Program for mental health, and dedicated committees for health and well-being
Outstanding opportunities for your individual development (e.g., individual learning budget, access to LinkedIn Learning and internal training program)
Hybrid working model for flexibility and work-life balance
Exciting international projects as well as rapid career development and personal development planning
Company with German roots that offers a clearly defined vision and job security
Team events and company getaways

Fulltime

AI Application Engineer

As an AI Application Engineer you will be working on cutting-end GenAI challenge...

Location

United States , San Francisco Bay Area

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field
3+ years experience as an AI/ ML Engineer or similar roles
Solid foundational understanding of traditional ML & Generative AI concepts
Practical experience in GenAI application development, Prompt Engineering & running detailed evaluations
Strong analytical skills - to understand deep patterns in client data, troubleshoot model performance issues & suggest innovative solutions to improve outcomes
Strong understanding of enterprise SaaS solutions and cloud technologies
Strong understanding of API frameworks and various Integration protocols
Ability to work with different data structures and handle basic transformations in order to automate certain components of the application
Experience with solution design, cloud based solution architecture, and integrations
Proficient with relevant programming languages and technologies

Job Responsibility

Build and customize Agentic AI applications for Fortune 500 companies
Align GenAI solutions with customer needs and business goals
Lead deployment of GenAI applications at enterprise scale
Analyze customer data structures and integrate with existing systems
Implement APIs and integration protocols for seamless connectivity
Evaluate and improve AI model performance
Identify patterns in data to troubleshoot and recommend enhancements
Collaborate with internal teams across engineering, product, and customer success
Engage directly with enterprise customers to understand needs and provide technical guidance

Fulltime

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