AI Senior Expert Job at Robert Bosch Sp. z o.o. (Warszawa)

Senior Software Engineer – AI Assistant Integration Expert

Take your career to the next level with Amaris Consulting as a Senior Software E...

Location

Spain , Barcelona

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Minimum 5 years of experience as a Software Engineer
At least 1 year of hands-on experience using GitHub Copilot in real-world projects
Strong practical knowledge of Java or .NET (C#)
Deep understanding of software architecture patterns and SOLID principles
Proven ability to write clean, maintainable code and follow best practices
Experience configuring GitHub Copilot in IDEs such as Visual Studio, VS Code, IntelliJ, or Eclipse
Ability to coach and train developers and QA engineers
Fluent in English (Spanish is a plus)
Hands-on mindset – not theoretical, but someone who codes daily

Job Responsibility

Define and implement guidelines for AI usage in software development
Collaborate with software architects and tech leads to document best practices and antipatterns per programming language
Create documentation and training materials for developers and QA engineers
Provide hands-on support to ~40 software squads to integrate GitHub Copilot and other AI tools
Configure GitHub Copilot extensions and ensure proper repository setup
Train teams on using Copilot commands (e.g., createWorkspace, explain, doc, fix, optimize)
Guide QA teams on AI tools for test case generation and optimization
Conduct “train the trainer” sessions to empower internal champions

What we offer

Tailored career path and salary evaluation
Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops
Annual personal training budget and company-paid certifications
Flexible policies and remote work options
Transit and restaurant tickets
Kindergarten support
Private health insurance
WeCare program supporting employees in critical situations

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

India

Salary:

Not provided

Apollo.io

Expiration Date

Until further notice

Requirements

7+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Expert-level Python skills for production AI systems
Strong experience building scalable backend systems, APIs, and distributed architectures
Experience with LangChain, LlamaIndex, or other LLM application frameworks
Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior AI Infrastructure Engineer

This role will be responsible for designing, deploying, and maintaining high-per...

Location

United States , Bothell; Overland Park; Bellevue

Salary:

113600.00 - 205000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

5+ years technical engineering experience, preferably in multiple technology focus areas
Expert understanding of AI/ML infrastructure components, or GPU-based systems – preferably in a high-availability, large scale environment
Hands-on Experience with NVIDIA DGX servers, BasePOD architectures, and advanced GPU technologies
Proficient in Linux/UNIX environments, including scripting/automation tools (Bash, Python, Ansible, Terraform)
Understanding of AI infrastructure security best practices
Experience with container orchestration (Kubernetes, Docker) and GPU workload management tools
Strong knowledge of networking (InfiniBand/Ethernet) and storage solutions in AI/ML contexts

Job Responsibility

Technical System Expertise: Understands system protocols, how systems operate and data flows
Technical Engineering Services: Drives engineering projects by active contribution to the application of engineering techniques
Innovation: Contributes to designs to implement new ideas which improve an existing and new system/process/service
Technical Writing: Writes basic documentation on how technology works
Technical Leadership: Collaborates with technical teams and utilizes system expertise to deliver technical solutions
Technology Strategy: Contributes to new and existing technology options that support business goals

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Paid holidays
Paid parental and family leave

Fulltime

Senior AI Product Manager

We are investing massively in developing next-generation, agentic and generative...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Proven relevant Product Management experience
Experience developing AI products
Conceptual understanding of AI
BA/BS Computer Science/ related technical degree, or 3+ years equivalent technical experience
Success defining and launching software products
An understanding of the software development lifecycle
Experience working with data scientists
Knowledge of product methodologies such as user story mapping, user personas
Demonstrable ability to determine value
Strong problem solving and analytical capabilities

Job Responsibility

Design the start-to-end experience of an early stage, B2B AI product
Manage the entire product life cycle
Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations
Work closely with development and data science teams to ensure on time delivery of product releases and oversee the product backlog
Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects
Analyse market trends and closely monitor product competitors
Perform business and technology analyses, based on product and user needs
Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers)
Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases
Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product

What we offer

Development - annual development budget to upskill yourself
Annual bonus - when Satalia does well, we all do well
Remote working - café, bedroom, beach - wherever works
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Truly flexible working hours - school pick up, volunteering, gym - no problem
Generous leave - 27 days’ holiday plus bank holidays and enhanced family leave
Transparent and open culture - you will be listened to and heard

Fulltime

Senior AI ML Engineer

We are seeking a highly skilled and experienced Assistant Vice President (AVP), ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field
Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production
Proven experience in a lead or senior technical role
Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
Experience with MLOps platforms, model monitoring, and model versioning
Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
Proficiency in SQL and experience working with relational and/or NoSQL databases
Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques

Job Responsibility

Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation
Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders.

What we offer

Not explicitly stated.

Fulltime

Senior Software Engineer - AI SDK

Temporal provides durable execution, the systems foundation used for reliable AI...

Location

United States; Canada

Salary:

180000.00 - 225000.00 USD / Year

Temporal

Expiration Date

Until further notice

Requirements

Experience and passion for harnessing generative AI, particularly for agents and coding
A deep understanding of how to use AI to increase quality, not only to increase quantity
A sense of taste in code and software development practice
A track record of open source software contributions, including contributions to 3rd party libraries
Fluency in multiple programming languages, and an affinity for learning new ones
Deep experience with concurrent programming—you should know how to use mutexes, atomics, and other concurrency primitives safely
Experience designing APIs and writing documentation for publicly-available libraries or modules
Strong technical communication skills—written and verbal—in English
BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software

Job Responsibility

Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries
Develop a deep understanding of AI application development techniques, including emerging approaches and architectures
Work with multiple programming languages, primarily Python and TypeScript
Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations
Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience
Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples
Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs
Write public technical documentation describing Temporal concepts and APIs
Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed
Travel to meet your coworkers for a week once or twice a year

What we offer

Unlimited PTO, 12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more
Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com
Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, in-home office setup (in addition to company-issued hardware), professional memberships, work-from-home meals, and access to the Calm app for mental wellness
$3,600 / Year Work from Home Meals
$1,500 / Year Career Development & Learning
$1,200 / Year Lifestyle Spending Account

Fulltime

AI Senior Expert

Robert Bosch Sp. z o.o.

Location:
Poland , Warszawa

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 26, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI Senior Expert

Senior Software Engineer – AI Assistant Integration Expert

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Infrastructure Engineer

Senior AI Product Manager

Senior AI ML Engineer

Senior Software Engineer - AI SDK

AI Senior Expert

Robert Bosch Sp. z o.o.

Location:Poland , Warszawa

Category:IT - Software Development

Contract Type:Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:September 26, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI Senior Expert

Senior Software Engineer – AI Assistant Integration Expert

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Infrastructure Engineer

Senior AI Product Manager

Senior AI ML Engineer

Senior Software Engineer - AI SDK

Location:
Poland , Warszawa

Category:
IT - Software Development

Contract Type:
Employment contract

Job Posted:
September 26, 2025