Ai Developer / Automation Engineer Job at RED Commerce - The Global SAP Solutions Provider (Sofia)

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

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

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

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

AI-First Automation Engineer

Instawork is on a mission to create meaningful economic opportunities for skille...

Location

United States , San Francisco

Salary:

120000.00 - 150000.00 USD / Year

Instawork

Expiration Date

Until further notice

Requirements

1+ years of experience in AI model development and proficient in testing, evaluating and setting model quality standards
2+ years of experience in QA automation
BS or MS in Computer Science or related field
Programming experience in Python + Javascript or similar language
Thorough knowledge of automation testing frameworks, tools and release processes
Self-motivated, especially in learning new software tools and best practices in software quality assurance
Startup mentality: self-starter, multi-tasker, proactive and flexible
Good communication and interpersonal skills
You straddle a fine line between QA, software and DevOps engineering

Job Responsibility

Develop customized AI models for QA data and conduct prompt engineering analysis
Implement and evolve QA processes to get effective test signals and scale testing efforts across multiple products
Build advanced automation architecture and integrate AI tools, thereby reducing manual intensive repetitive tasks
Transform our automation by integrating cutting-edge AI tools and methodologies, creating smarter, faster, and more resilient frameworks that elevate our efficiency and coverage standards
Help solve cross-platform testing challenges and contribute impactful ideas to improve quality
Build a self-optimizing QA system that scales with the growth of our products
Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of products

What we offer

Variety of medical, dental, and vision plans with coverage beginning on the date of hire
Flexible paid time off
At least 8 paid company holidays annually
Phone stipend
Commuter stipend
Supplemental pay on qualified leaves
Employee health savings accounts (HSA) contribution
Flexible spending plans
401K plan
Perkspot - discount program through Lumity

Fulltime

Staff AI Developer Productivity Engineer

This is a staff-level, hands-on role at the intersection of Developer Productivi...

Location

United Kingdom , London OR Chester

Salary:

Not provided

Equals Group PLC

Expiration Date

Until further notice

Requirements

8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
Solid understanding of CI/CD, test strategy and code-quality tooling
able to design fast inner loops and reliable pipelines
Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
Excellent communication and influence skills
comfortable enabling teams via docs, workshops and remote office hours
A role model for our values: Make it happen
Succeed together

Job Responsibility

AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
productionise successful approaches
Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
measure usage and satisfaction and iterate

What we offer

25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers
Bupa Private Healthcare
Free Eye Test and £50 up to the cost of glasses
EAP Service - Mental Health Services
Life Assurance Policy - x3 annual salary
Contributory pension scheme

Principal QA Automation Engineer w/ AI experience

We seek a Principal QA Automation Engineer with a strong background in Cypress, ...

Location

Argentina , Gran Buenos Aires; Capital Federal; Mar del Plata

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience with Cypress for UI and end-to-end automation testing
Expert-level proficiency in TypeScript, JavaScript and Python
Proven experience testing AI-powered or machine learning applications, including AI model validation techniques
Strong understanding of AWS services (e.g., Lambda, S3, SQS, CloudWatch, ECS/EKS) and how to validate applications deployed in cloud environments
Experience with threaded/multi-agent AI tools and how they impact test design and validation
Familiarity with version control (Git), containerization (Docker), and CI/CD pipelines (e.g., GitHub Actions, Jenkins, or CircleCI)
Strong communication, leadership, and mentoring skills

Job Responsibility

Lead the design and implementation of end-to-end test automation frameworks using Cypress with TypeScript
Define quality strategies for applications with AI/ML components, including deterministic and non-deterministic testing approaches
Collaborate with engineering, DevOps, and AI/ML teams to ensure quality across AI-infused features in production environments
Build and scale testing strategies for threaded AI applications running in AWS cloud infrastructure
Integrate automated tests into CI/CD pipelines to support frequent, reliable deployments
Mentor and guide mid- and senior-level QA engineers, setting best practices and driving a culture of quality-first development
Evaluate and introduce new tools, libraries, and frameworks to improve test coverage, performance, and developer experience
Participate in architectural discussions to ensure testability and reliability are baked into software designs from the start
Analyze test results, track quality metrics, and communicate risk and coverage to stakeholders

What we offer

Premium healthcare through OSDE for the employee and their immediate family members
Mendel prepaid card with a monthly allowance for grocery purchases
Monthly reimbursements for Wi-Fi/electricity expenses
Monthly reimbursements for training/English classes
100% covered “Plan Total” membership at Sportclub
Access to a our benefits platform through Bonda
A flexible vacation policy

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

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 building an AI platform that accelerates the Software Development Lifecyc...

Location

Uzbekistan , Tashkent

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

5+ years of experience in software development (backend or full-stack)
Strong proficiency in .NET and/or Python. Ability to connect classical software engineering practices with modern AI capabilities
Experience with multi-agent orchestration frameworks (LangChain, CrewAI, AutoGen, or similar tools used to build and orchestrate AI agents)
Hands-on experience with AI-assisted development tools (Cursor, GitHub Copilot, OpenAI Codex, and other AI solutions that enhance productivity and code quality)
Experience embedding AI into coding, testing, documentation, and review processes to automate and accelerate delivery
Expertise in automation and workflow design

Job Responsibility

Design and implement AI-driven workflows across the SDLC
Enhance documentation processes
Accelerate development with AI-assisted coding
Improve PR analysis and code review
Optimize test documentation and testing workflows
Support deployment workflows
Enhance support and operations
Develop and orchestrate AI agents

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Expanded medical support for employees in Tashkent
19 working days of vacation per year, 21 after two years in the company
Corporate getaway & teambuilding activities
Support for the significant events in your life
Referral bonuses for bringing in new talent

Fulltime

Senior Software Engineer, Operations Automation

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem so...

Location

Salary:

190000.00 - 220000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

Have a strong foundation in computer science and at least two years of experience building and shipping high-quality software
Have hands-on experience with AI/ML tools, LLMs and API integrations for automation
Can quickly build both frontend interfaces and backend services using modern frameworks
Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
Stay updated on the latest AI models and tools, and apply that knowledge to cross-functional automation projects

Job Responsibility

Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
Use AI as much as possible to automate your own process of creating this software
Collaborate with teams across the business to understand pain points and identify high-impact automation opportunities, then ensuring that they are adopted and deliver obvious value
Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
Supervise AI choices in architecture and technologies and debug complex systems when AI cannot handle them

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation
Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

Fulltime

Ai Developer / Automation Engineer

RED Commerce - The Global SAP Solutions Provider

Location:
Bulgaria , Sofia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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