CrawlJobs Logo

AI Engineer

mypos.com Logo

myPOS

Location Icon

Location:
Bulgaria

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Responsibility:

  • Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
  • Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
  • Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
  • Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
  • Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • 5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
  • Strong Python skills (typed code, async, testing) and solid SQL fluency
  • Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs - including tool use, memory, and multi-step reasoning patterns
  • Practical experience with MCP or comparable tool/function-calling protocols
  • comfortable designing tool schemas and sub-agent boundaries
  • Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
  • Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
  • Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
  • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Nice to have:

  • Strong GCP experience and ecosystem knowledge: Vertex AI (Agent Engine, Model Garden, Pipelines, Endpoints), Cloud Run, BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage
  • Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards
  • Model monitoring experience: drift detection, data quality issues, performance degradation, bias checks, and alerting strategies
What we offer:
  • Vibrant international team operating in hi-tech environment
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Annual individual training and development budget
  • Refer a friend bonus as we know that working with friends is fun
  • Teambuilding, social activities and networks on a multi-national level
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full Luxury package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fully covered Multisport card
  • Fully covered public transport pass for Sofia
  • Free coffee, snacks and drinks at the office

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
myPOS - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for AI Engineer

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France , Paris
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning - you stay current with AI/ML trends
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills - you inspire and develop high-performing engineering teams
  • Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...
Location
Location
United States , Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
  • Annual travel up to 25%
What we offer
What we offer
  • equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills
  • Cross-functional stakeholder management
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France , Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills
  • Cross-functional stakeholder management
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...
Location
Location
United States , Mountain View
Salary
Salary:
150000.00 - 250000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
  • Experience with diffusion models, autoregressive learning, or generative AI methods
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of uncertainty modeling and self-supervised learning
  • Passion for building AI that continuously adapts and learns
Job Responsibility
Job Responsibility
  • Develop generative models that enhance adaptability and improve AI robustness
  • Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
  • Apply generative methods to anticipate challenges and reinforce decision-making
  • Build self-improving AI pipelines that continuously refine model understanding
  • Optimize models for efficient, scalable, and interpretable AI decision-making
What we offer
What we offer
  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Manager, Software Engineering - Expressive AI

The Expressive AI team is responsible for applying generative AI models to desig...
Location
Location
United States , New York
Salary
Salary:
250000.00 - 350000.00 USD / Year
figma.com Logo
Figma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience hiring and leading teams as an engineering manager
  • Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons
  • Demonstrated experience applying advancements in AI from both engineering and product perspectives, with a specific focus on LLMs, diffusion models, and image/video generation
  • Proven leadership in building high-performing, highly engaged engineering teams, with a strong track record of motivating, mentoring, and guiding senior engineers while hiring top industry talent
  • Exceptional ability to work cross-functionally across Product, Design, and Marketing, as well as collaborating with other engineering teams to ship both customer and internal-facing projects
  • A strong sense of technical curiosity, a willingness to learn and grow alongside your team, and a genuine passion for design and craft
Job Responsibility
Job Responsibility
  • Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience for designers in Figma
  • Work closely with cross-functional partners and engineering teams to push the boundaries of what’s possible through the application of AI to creative problems
  • Hire, manage, support, and develop a team of engineers, including staff level engineers
  • Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders
  • Grow your career within an engaged and creative engineering community
  • Help drive initiatives through hiring, community events, and cross-functional programs across Figma
What we offer
What we offer
  • equity
  • health, dental & vision benefits
  • retirement with company contribution
  • parental leave & reproductive or family planning support
  • mental health & wellness benefits
  • generous PTO
  • company recharge days
  • a learning & development stipend
  • a work from home stipend
  • cell phone reimbursement
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
groupon.com Logo
Groupon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
  • Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
  • Expertise in scripting and automation (Python, Go, or Bash)
  • Solid understanding of container technologies, Kubernetes, and cloud build systems
  • Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
  • Excellent communication and ability to drive technical decisions across multiple platform and product teams
Job Responsibility
Job Responsibility
  • Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
  • Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
  • AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
  • Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
  • Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
  • Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
  • Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture
Read More
Arrow Right