Lead Data Engineer

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
Strong track record building distributed systems and integrating LLMs
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
RAG pipelines shipped to production
Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

Lead Ai Engineer

Fourth is the world’s largest and fastest-growing global leader of end-to-end re...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

5+ years experience in machine learning, AI engineering or software development, with a demonstrated track record of deploying machine learning models and AI solutions in production environments
Strong Python skills for building production AI services
Hands‑on experience running LLM‑based systems in production
Experience with RAG architectures, embeddings, and vector search
Proven ability to design scalable, maintainable systems and APIs
Solid understanding of production operations (monitoring, logging, error handling)
Cloud deployment experience (Azure preferred)
Strong understanding of data pipelines, SQL, and data quality
Working knowledge of AI governance, access control, and responsible AI practices

Job Responsibility

Own AI engineering and architectural decisions across enterprise solutions
Design and build production‑grade AI systems and pipelines
Take AI solutions from prototype to reliable production
Define engineering standards, quality bars, and production readiness
Shape feasibility, prioritization, and technical approach for AI initiatives in partnership with the Director, without owning overall AI strategy
Translate business problems into scalable, technically sound AI solutions
Work with Data, Security, Legal, Compliance and others on safe AI delivery

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Lead AI Engineer

We’re looking for a hands-on Lead AI Engineer (6–10 years) who can: Lead design ...

Location

India , Chennai

Salary:

Not provided

iTech

Expiration Date

Until further notice

Requirements

6–10 years total experience
4+ years in AI / DL / NLP in production environments
Proven experience taking AI solutions from PoC to production
Strong in Python and core CS fundamentals (data structures, algorithms, clean code)
Hands-on with AI / NLP / LLMs – classification, NER, QA, summarization, document understanding
Experience with some of: PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex / spaCy
Built and deployed RESTful ML services / APIs integrated with web or mobile applications
Worked with Docker and CI/CD pipelines
experience of AWS or GCP
Good SQL skills and experience with at least one RDBMS (PostgreSQL/MySQL)

Job Responsibility

Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring
Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, QA, extraction and summarization over documents
Develop Document AI models / pipelines for OCR post-processing, entity/key–value extraction, classification and layout/table understanding
Deploy models as scalable APIs / microservices in cloud and on-prem environments using Python, Docker and CI/CD
Work directly with client stakeholders to refine requirements, present solutions and handle reviews / clarifications
Act as technical lead on 2–3 AI projects, guide the team on architecture, design and best practices
Mentor junior ML engineers via code reviews, design discussions and technical coaching
Design with security, privacy and cost in mind, especially for data-sensitive domains (BFSI, healthcare, legal, HR)

Fulltime

As Lead Data Engineer, you will own and scale the data platform that powers AirO...

Location

United States , New York City; San Francisco

Salary:

Not provided

AirOps

Expiration Date

Until further notice

Requirements

5+ years in data engineering with 2+ years leading projects
Expert SQL and Python with deep experience building production pipelines at scale
Hands-on with dbt and a workflow manager such as Airflow or Prefect
Strong background in dimensional and event-driven modeling and a company-wide metrics layer
Experience with Snowflake or BigQuery, plus Postgres for transactional use cases
Track record building data products for analytics and customer reporting
Cloud experience on AWS or GCP and infrastructure as code such as Terraform

Job Responsibility

Data platform ownership: design, build, and operate batch and streaming pipelines that ingest data from crawlers, partner APIs, product analytics, and CRM
Core modeling: define and maintain company-wide models for content entities, search queries, rankings, AI agent answers, engagement, and revenue attribution
Orchestration and CI: implement workflow management with Airflow or Prefect, dbt-based transformations, version control, and automated testing
Data quality and observability: set SLAs, add tests and data contracts, monitor lineage and freshness, and lead root cause analysis
Warehouse and storage: run Snowflake or BigQuery and Postgres with strong performance, cost management, and partitioning strategies
Semantic layer and metrics: deliver clear, documented metrics datasets that power dashboards, experiments, and product activation
Product and customer impact: partner with Product and Customer teams to define tracking plans and measure content impact across on-site and off-site channels
Tooling and vendors: evaluate, select, and integrate the right tools for ingestion, enrichment, observability, and reverse ETL
Team leadership: hire, mentor, and level up data and analytics engineers
establish code standards, review practices, and runbooks

What we offer

Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!

Fulltime

Lead AI Engineer

Linnify is a global technology partner that helps visionary companies accelerate...

Location

Romania , Cluj-Napoca

Salary:

Not provided

Linnify

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI/ML engineering, with at least 2 years building agentic or generative AI applications
Proven experience leading complex AI initiatives in production, from architecture through deployment
Deep expertise with LangChain, LangGraph, or OpenAI Agents and agentic workflows
Strong understanding of foundation models, LLMs, and orchestration challenges
Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
Experience with fine-tuning LLMs using supervised or reinforcement learning approaches
Strong understanding of vector search systems (e.g., Pinecone, Weaviate, FAISS, Qdrant)
Experience with evaluation pipelines and model monitoring in production environments
Excellent communication skills and ability to lead cross-functional technical discussions
Languages: Python (required), familiarity with JS/TypeScript is a plus

Job Responsibility

Architect and lead development of AI-powered applications, especially those using agentic and LLM-based architectures
Own and evolve end-to-end AI workflows, including RAG pipelines, prompt orchestration, tool usage, and safety layers
Design and implement multi-agent systems with planning, delegation, memory, and inter-agent communication
Oversee fine-tuning of foundational models for downstream tasks in various domains
Define and monitor evaluation strategies to assess model performance, consistency, and reliability in production
Lead implementation of prompt safety, content moderation, and guardrails across AI components
Guide the integration of OCR and data extraction flows to process unstructured data
Provide technical leadership across AI initiatives and mentor mid-level and junior engineers
Collaborate with product and design teams to shape scalable, production-ready ML solutions
Stay up to date with AI research and tools, balancing innovation with production readiness

What we offer

Flexible work schedule and remote work days
ESOP (Employee Stock Ownership Plan) so that you grow with us
Additional loyalty vacation days (up to 28 total vacation days based on experience and time with us)
Health package via Regina Maria Clinic
Meal tickets (40 RON/day)
Discounted gym subscription
Access to role-specific certifications/courses
Regular team knowledge-sharing sessions and mentoring opportunities
Clear visibility into your progress and opportunities for advancement
Top-tier gear: Receive your own MacBook for high-performance development

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Software Engineer- AI and Data Governance

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Palo Alto

Salary:

100000.00 - 215000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Advance knowledge of at least one modern OOP languages such as Go, Python, Java, etc.
Advance knowledge of web technologies such as HTML, CSS, JavaScript is preferred
Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch, etc.
Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus
Experience building and configuring flows, and process builders
Strong understanding of web service integration (GRPC / REST) and enterprise middleware integration tiers
Ability to articulate channel dataflow and process flow including email, messaging, chat, mobile Push and SDK's
Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery (CI/CD) and Infrastructure as Code

Job Responsibility

Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the Platform Engineering domain including Service Management, Business Continuity, Recovery, Incident Response and Paging platforms
Accountable for the quality, usability, and performance of the solutions
Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
Consistently share best practices and improve processes within and across teams
Willing to take on-call and operational support
Experience designing recommendation systems, ranking, personalization, similarity search and embeddings
Experience with NLP, LLMs and RAG, as well as translating natural language into graph or data queries
Experience designing scalable AI systems and Data pipelines

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Lead Data Engineer - AI Search

Job Description

Job Responsibility

Requirements

What we offer

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