GenAI Engineer Job at Inetum (Lisbon)

GenAI Engineer

We are seeking a GenAI Engineer for project-based engagements to develop and imp...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in AI Agent development and implementation
Strong knowledge of autonomous workflows for enterprise systems (SAP, Salesforce, ServiceNOW, Oracle) API exposure and integration for GenAI
Hands-on experience with GenAI secure API integration and data handling
Understanding of fully autonomous AI Agents and associated risk management planning
Proficiency in Apigee API management and gateway services
Experience exposing APIs from enterprise applications

Job Responsibility

Design, integrate and deploy fully autonomous AI Agents with enterprise platforms (SAP, Salesforce, ServiceNOW, Oracle) via APIs
Expose and manage APIs from global applications through Google Apigee
Develop fully autonomous agentic workflows, from MCP API exposure of enterprise solutions, through compliance and security checks, and API integration of genAI for E2E automation
Include a risk-management and guardrailing approach for highest autonomy AgenticAI

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Engineer, SRE GenAI

As an Engineer in Site Reliability Engineering (SRE) for AI Systems, you will he...

Location

United States , Bellevue; Overland Park; Frisco

Salary:

92500.00 - 166800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Engineering or a related field
2–4 years of experience in DevOps, SRE, or cloud platform engineering
Hands-on experience with monitoring/logging systems such as Prometheus, Grafana, Splunk, or OpenSearch
Familiarity with cloud environments (preferably Azure
AWS/GCP a plus)
Experience in scripting or automation using Python, Bash, or PowerShell
Basic understanding of containerization (Docker, Kubernetes) and CI/CD concepts
Willingness to participate in an on-call schedule and incident resolution
Strong solving and root cause analysis skills
Communication

Job Responsibility

Participate in on-call rotations to support AI platforms and respond to production incidents with urgency and precision
Monitor system health and performance using tools like Grafana, Splunk, and PowerBI
Support cloud-native infrastructure deployments, with a focus on Azure (primary), and exposure to AWS or GCP
Implement runbooks and automate repetitive operational tasks to reduce toil
Support CI/CD pipelines and IaC deployments using Gitlab pipelines, Databricks
Assist in the development and enforcement of Service Level Objectives (SLOs) and real-time alerts for AI APIs and services
Collaborate with senior engineers to improve platform reliability and scale LLM-based applications

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
Annual bonus or periodic sales incentive or bonus
Medical, dental and vision insurance
Flexible spending account
Paid time off and up to 12 paid holidays
Paid parental and family leave

Fulltime

Principal Engineer, GenAI Innovation

The full stack Principal Engineer will work with a team of other software engine...

Location

United States , Bellevue

Salary:

129400.00 - 233400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Engineering
7+ years of proven experience in full stack web development
Technical engineering experience
Crafting database schemas, writing SQL
3+ years of DevOps experience with infrastructure as code
4-7 years using cloud services from AWS, Azure, or GCP
2+ years of experience working with Generative AI models, APIs
Experience coaching and mentoring team members
Knowledge of HTML, CSS, Webpack, JavaScript, at least one front-end framework, and one back-end framework
Understanding of database modeling and SQL

Job Responsibility

Designs and builds full stack web solutions including both the back end and front end
Code Review and mentoring of other team members
Designs / crafts sophisticated scheduled jobs and micro-services defining new patterns and orchestrations
Designs / implements detailed data storage mechanisms using relational and non-relational data stores
Explores, creates and configures cloud services using infrastructure as code
Recommends new cloud services and patterns
Presents new ideas which improve an existing system/process/service
Collaborates with team to break down features into user stories and estimate them
Awareness of technology roadmap
Updates job knowledge by monitoring and understanding emerging engineering practices

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
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python
Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

GenAI Engineer

As a Generative AI Engineer at InfoObjects, you will design, develop, and deploy...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields
Strong experience with Python and machine learning frameworks like PyTorch or TensorFlow
Practical understanding of LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs)
Hands-on with APIs and platforms such as OpenAI, Hugging Face, LangChain, and Vector Databases (Pinecone, Weaviate, ChromaDB)
Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search
Cloud Platforms: Proficiency in AWS, GCP, Azure, and Databricks
Document Processing: Familiarity with tools like Azure AI Document Intelligence
Orchestration: Experience integrating AWS Knowledge Bases for AI pipeline orchestration
Knowledge of model evaluation, fine-tuning, retrieval-augmented generation (RAG), and ethical AI practices
Strong analytical mindset and the ability to solve complex problems creatively

Job Responsibility

Design and implement generative AI models using frameworks like OpenAI, Hugging Face, or custom architectures
Fine-tune large language models (LLMs) and multi-modal models to align with specific client and project needs
Research and apply advanced techniques including prompt engineering, reinforcement learning with human feedback (RLHF), and model optimization
Collaborate with product teams to integrate AI-powered features into scalable applications
Monitor and improve AI model performance through continuous training and evaluation
Contribute to the development of AI best practices and ensure ethical AI adoption

Lead AI Engineer - GenAI & RAG Solutions

As a Lead AI Engineer within our Data & AI practice, you will play a key role in...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

At least 3 years of experience in AI/ML projects, with at least 1 year in LLMs and generative AI
Experience with RAG architectures, vector search (e.g., Azure Cognitive Search, FAISS), embedding pipelines
Proficient in Python and familiar with prompt engineering, langchain, or similar frameworks
Experience with Azure OpenAI, Azure Functions, Azure Blob Storage
Understands challenges around data security, governance, and access in AI solutions (e.g., healthcare and public sector)
Fluent in Dutch, comfortable working in a bilingual context

Job Responsibility

Architect and implement RAG solutions in Azure (OpenAI, Cognitive Search, Blob Storage, Azure Functions, etc.)
Conduct intake workshops and translate business needs into AI solutions
Provide technical leadership within multidisciplinary project teams
Support MVP development around GPT, Copilot extensions, and embedded LLM solutions
Shape the AI roadmap for our clients

What we offer

Make a Difference with a Meaningful Career
Grow and Evolve Professionally
Unlock Relevant Career Opportunities
Achieve Work-Life Balance
Enjoy Generous Annual Leave
Travel in Comfort
Comprehensive Insurance Coverage
Attractive Compensation Package

Fulltime

GenAI Solutions Engineer

Be part of shaping the future of healthcare with AI. We’re at the beginning of a...

Location

Australia

Salary:

Not provided

Magentus

Expiration Date

Until further notice

Requirements

Minimum of 3-4 years of experience in a software or data engineering role
At least 1-2 years of focused, hands-on experience building with LLMs or Generative AI
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
Proficiency in Python and relevant libraries (e.g., Pandas, Pydantic) for data manipulation and processing
Experience with major cloud provider’s AI/ML offerings (AWS Sagemaker, Google Cloud AI Platform)
Solid understanding of algorithms, data structures, and software engineering fundamentals
Experience working in a collaborative software development environment using Git and agile methodologies

Job Responsibility

Develop AI-Powered Solutions: Design, build, and implement end-to-end solutions using Generative AI to address key business challenges, with a focus on intelligent data transformation and business process automation
Engineer Data-Centric Workflows: Architect and maintain scalable, robust workflows that ingest, process, and enrich complex data by applying AI and machine learning models
Oversee Application Lifecycle & Deployment: Own the full lifecycle of AI applications, from prototyping and development to deployment, scaling, and production management in a multi-cloud environment (AWS and GCP)
Ensure Solution Quality and Reliability: Establish and govern frameworks for validating the output of AI systems, defining and tracking metrics to ensure high standards of accuracy, reliability, and safety are consistently met
Drive AI Best Practices: Implement and manage MLOps/LLMOps principles to ensure version control, reproducibility, and continuous monitoring of deployed applications
Support knowledge-sharing and mentorship efforts within the team and across departments

What we offer

A chance to lead a flagship strategic initiative with executive visibility and long-term impact
The opportunity to shape new-to-market AI experiences in the healthcare space—one of the most meaningful, complex, and impactful industries
A supportive product-led culture where discovery, user value, and cross-functional collaboration are at the core of how we build
The ability to influence product, platform, and business strategy across the Magentus group

GenAI Solution Engineer

Bright Vision Technologies is a forward-thinking software development company de...

Location

United States , Houston

Salary:

Not provided

Bright Vision Technologies

Expiration Date

Until further notice

Requirements

Experienced
Design and oversee the implementation of high-level architectural solutions
Collaborate with cross-functional teams to ensure alignment with business goals
Lead business intelligence and data analysis initiatives
Evaluate and recommend technology tools and platforms
Ensure adherence to project timelines and deliverables
Provide technical guidance and mentorship to the project team
Backend: Python 3.10+, FastAPI, Async/Await patterns
AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns
Frontend: Vanilla JavaScript, MSAL.js authentication, Server-Sent Events

Job Responsibility

Design and oversee the implementation of high-level architectural solutions
Collaborate with cross-functional teams to ensure alignment with business goals
Lead business intelligence and data analysis initiatives
Evaluate and recommend technology tools and platforms
Ensure adherence to project timelines and deliverables
Provide technical guidance and mentorship to the project team

GenAI Engineer

Inetum

Location:
Portugal , Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 10, 2025

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