AI Engineer (GenAI) Job at Fyld

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

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

AI Solutions Engineer

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observabi...

Location

United States , Raleigh

Salary:

125000.00 - 175000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production
Comfortable working in public Cloud environments (AWS, Azure, GCP)
Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV

Job Responsibility

Work closely with some of the most sophisticated ML / GenAI teams in the world
Act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions

What we offer

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required

Job Responsibility

Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

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

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Professional AI engineering experience
Background in Software Engineering with Python
Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
Working with vector databases for embedding and indexing
Strong experience with cloud platforms
Strong experience with API design and frameworks like FastAPI or Flask
Solid experience with relational databases and SQL
Interest in expanding your knowledge into GenAI and machine learning
Excellent communication skills and the ability to work well in a collaborative team environment

Job Responsibility

Experiment with POCs to find solutions for real-world problems using Large Language Models
Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
Build and deploy Agentic LLM-based solutions with LangGraph
Familiar with different multi agent system patterns
Build and deploy LLM-based solutions using RAG
Familiar with different types of databases: Relational, Graph etc
Design and optimise APIs using Python and FastAPI to serve AI solutions
Familiar with GCP ecosystem and Cloudrun
Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

GenAI Engineer

We are seeking a talented and experienced Generative AI Engineer to lead the dev...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in Machine Learning, Generative AI, or related fields
Strong leadership and communication skills
Advanced knowledge of integrating Generative AI into cloud infrastructures
Ability to design and implement AI strategies at scale
Proficiency in Python and relevant ML libraries
Experience with LangChain, Semantic Kernel, Hugging Face Transformers
Familiarity with Apache Lucene/Solr/LuceneSearch
Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3)
Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4)
Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview)

Job Responsibility

Independently develop GenAI-based applications tailored to product requirements
Implement scalable and high-performance AI solutions
Integrate AI applications with existing internal systems
Lead and collaborate with cross-functional teams to drive AI strategy and execution

What we offer

Inetum certified Top Employer Europe 2025
Opportunity to grow your expertise
Create digital impact quickly, easily and for the good of all

Fulltime

AI Engineer (GenAI)

Fyld

Location:
Portugal

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 11, 2026

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