Ai & Automation Engineer Job at Robert Half (Charlotte)

AI & Automation Engineer

Location

Spain

Salary:

Not provided

Parser Limited

Expiration Date

Until further notice

Requirements

5+ years of experience in automation engineering, AI/ML integration, systems integration, or a closely related discipline
Demonstrated track record of replacing manual business processes with AI or automation solutions with measurable outcomes
Strong hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar) including prompt engineering, chaining, tool/function calling, and agent design
Proficiency in Python/Javascript for scripting, API consumption, data manipulation, and lightweight service development
Experience building multi-step, production workflows in Zapier, Make, or Power Automate, including error handling, branching logic, and webhooks
Solid Power BI skills: DAX, Power Query (M), data modeling, and report distribution
Strong working knowledge of REST APIs and JSON
ability to read API documentation and integrate any SaaS platform
Experience with Microsoft 365 or Google Workspace ecosystems
Analytical mindset with the ability to translate ambiguous business problems into concrete technical solutions

Job Responsibility

Lead discovery sessions with business stakeholders to audit manual, repetitive, or error-prone processes and build a prioritized automation roadmap
Design and deploy AI-powered workflows using LLMs (e.g., OpenAI, Anthropic, Azure OpenAI) to automate tasks such as document processing, classification, summarization, triage, and decision support
Build and maintain AI agents and multi-step pipelines that operate autonomously across business functions (HR, Finance, Operations, Customer Success, etc.)
Evaluate and adopt emerging AI tooling (e.g., agentic frameworks, RAG pipelines, fine-tuning approaches) where they deliver measurable ROI
Architect and manage automated workflows using platforms such as Zapier, Make (Integromat), and Power Automate, integrating APIs, webhooks, and SaaS platforms
Connect disparate systems (Monday.com, BambooHR, Google Workspace, Microsoft 365, CRM/ERP tools) using no-code/low-code and custom API integrations to ensure seamless, real-time data flow
Develop Python-based automation scripts and microservices where platform-native tooling reaches its limits
Build and maintain Power BI dashboards and automated reporting pipelines that surface actionable intelligence for both technical and non-technical stakeholders
Instrument AI and automation workflows with monitoring, logging, and KPI tracking so business impact is continuously measured and visible
Define standards, reusable patterns, and best practices for AI and automation development across the organization

What we offer

Competitive salary and comprehensive benefits package
A genuine mandate to transform how the business operates — not just maintain the status quo
Direct exposure to cutting-edge AI tools, models, and automation platforms
Collaborative, innovation-driven IT environment with strong cross-functional visibility
Budget and support for professional development, certifications, and conferences (AI/ML, cloud, automation)
Flexible work arrangements

Fulltime

AI & Automation Engineer

We’re excited to be hiring a hands-on AI Engineer to join a growing MSP that’s p...

Location

United Kingdom , Hebburn

Salary:

Not provided

ITC Service Ltd

Expiration Date

Until further notice

Requirements

2–5 years’ experience in an AI Engineering, Software Engineering, or Applied AI role
Strong foundation in software engineering principles: clean code, testing, version control, source control, and system design
Proven experience building and deploying production AI or LLM-powered applications
Hands-on experience designing and building APIs (RESTful and/or event-driven)
Solid understanding of CI/CD practices and cloud deployment on Azure
Experience building agentic AI systems, multi-agent orchestration, or LLM tool-use pipelines
Familiarity with MCP (Model Context Protocol) or similar patterns for giving AI agents access to external systems
Comfortable working across the full delivery lifecycle, from architecture to monitoring in production
Strong understanding of Microsoft 365 in a business environment
Programming: Python (essential)

Job Responsibility

Design, build, and deploy production-grade AI solutions for internal teams and client environments, from initial architecture through to deployment and ongoing monitoring
Develop and maintain agentic AI systems, LLM-powered workflows, and orchestration pipelines that solve real operational challenges
Engineer robust, well-tested APIs and backend services that expose AI capabilities reliably and at scale
Evolve proof-of-concepts into production-ready solutions, with full consideration for reliability, observability, and maintainability
Design and build clean, well-documented APIs that integrate AI capabilities into existing business systems and workflows
Implement robust error handling, rate limiting, logging, and versioning across AI services
Ensure integrations are secure, performant, and aligned with best practices for data governance
Work with external APIs and third-party services to compose multi-system AI solutions
Own the full deployment lifecycle for AI services, from local development through to staging and production on Azure
Build and maintain CI/CD pipelines for AI workloads, including automated testing, environment promotion, and deployment gates

What we offer

Dedicated office desk – onsite
29 days holiday inc bank holidays + Christmas to New Year shutdown
Salary sacrifice pensions scheme with a +3% employer contribution
Paid approved training
From year 1, access to our Assist to Buy Technology and Electric Vehicle salary sacrifice
Access to our Employee Assistance Program
Breakfast snacks and refreshments onsite
From 6 months, Life Insurance for you, spouse and children (free)
From year 1, Full cover health insurance + dental and optical cashback
From year 2, of employment Years in Service (YiS), Salary Increases + 1 Day Holiday (to a max of 5 years)

Fulltime

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

New

Lead AI Automation Engineer

Intellias helps retailers deliver consistent, omnichannel experiences through te...

Location

Bulgaria; Croatia; Poland; Portugal; Ukraine

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

Hands-on work with LLM pipelines / agents (not just tools)
Prompt tuning, structured outputs (JSON/schema)
Understanding of MCP tools and data retrieval
Ability to work with: APIs, JSON data models, async flows (queues, events)
Understanding of: PHP / Laravel architecture, DB concepts (Postgres / configuration / tenants)
Deep Playwright usage: fixtures, storage state, network interception, async/debugging
Ability to build reusable flows (no duplication)
Ability to debug across: AI output → test → API → application
Handling of: authentication / cookies / environment issues, incorrect AI-generated scenarios

Job Responsibility

Act as AQA Squad Lead, owning AI-first automation direction in the team
Perform TypeScript / Playwright code reviews during the transition phase
Work hands-on with TypeScript, Playwright, Copilot (IDE), and MCP tools locally as part of daily delivery
Design and lead LLM pipeline / agent-based automation architecture (AI-first system design)
Define and improve prompting strategies and structured outputs (JSON / schema-based automation)
Ensure quality and consistency of AI-generated test automation outputs across the squad
Lead end-to-end debugging across AI output → test → API → system, including environment/auth issues and incorrect AI scenarios
Work with REST APIs, JSON data models, async flows (queues/events), and understand backend context including PHP/Laravel architecture and DB concepts (Postgres, configuration, tenants)
Apply and guide advanced Playwright usage (fixtures, storage state, network interception, async debugging, reusable flow design)
Drive transition from traditional automation to LLM + MCP-driven AI-native testing system, while remaining hands-on technical lead

Ai Automation Engineer

We're seeking a hands-on AI Automation Engineer to spearhead AI adoption across ...

Location

India , Kandivali East

Salary:

Not provided

Parity Cube

Expiration Date

Until further notice

Requirements

2–4 years of experience in software development, automation engineering, or AI implementation
Strong proficiency in Python and JavaScript/Node.js
Hands-on experience with AI platforms (OpenAI, Claude, Gemini) and prompt engineering
Working knowledge of LangChain, vector databases (Pinecone, Chroma, Weaviate), and RAG patterns
Experience with n8n or similar workflow automation tools (Zapier, Make, Retool)
Understanding of API design, webhooks, and system integrations

Job Responsibility

Design and implement LLM-powered tools, copilots, and intelligent agents using OpenAI APIs, LangChain, and vector databases
Create custom chatbots and knowledge assistants using internal data and RAG architectures
Develop AI-driven anomaly detection tools
Use platforms like n8n, Zapier, or Make to build scalable workflow automations
Integrate disparate systems through APIs, webhooks, and custom connectors
Design multi-step AI agent workflows for complex business processes
Partner with teams to identify pain points and build targeted AI solutions
Document processes and create self-service tools for non-technical users
Establish best practices and frameworks for AI tool development
Measure impact through usage analytics and feedback loops

What we offer

Competitive salary
Budget for AI tools, courses, and conference attendance
Opportunity to work with latest AI technologies and platforms
Direct access to leadership and input on technical strategy
AI Happy hour every Alternate Friday - Team members work together exploring advancements in AI

Fulltime

Automation & Ai Engineer

At Stratsys, we offer a SaaS platform that helps organizations bring structure a...

Location

Sweden , Gothenburg

Salary:

Not provided

Stratsys

Expiration Date

Until further notice

Requirements

5–10+ years of experience within software development, automation, and integrations. Minimum 1,5+ years of hands-on experience with LLM-/agent-based solutions in production
Strong programming skills in Python and experience building integrations using APIs, webhooks, and cloud platforms such as Azure, AWS, or GCP
Experience working with workflow automation tools such as Power Automate, Zapier, Make, or n8n
Experience working with AI/LLM solutions, SQL, and data-driven systems
Bachelor or master degree within computer science, systems science, engineering, or a related field
Fluent in Swedish and English, written and spoken

Job Responsibility

Developing and maintaining code-based solutions, primarily in Python, for integrations, automation, and AI applications
Designing and implementing workflow automations using both low-code tools and custom-built solutions
Building and deploying LLM- and agent-based solutions in production environments
Integrating systems and data sources using APIs, webhooks, and event-driven architectures
Collaborating with stakeholders across the business to identify automation and AI opportunities
Contributing to the development of scalable internal AI infrastructure and platform capabilities

What we offer

Opportunity to join a newly formed and fast-moving team where you will have significant influence on both technical direction and ways of working
Work hands-on with modern technologies within AI, automation, integrations, and LLM-/agent-based systems
Build solutions that create tangible business impact across multiple parts of the organization
Join a high-energy, close-knit team where successes are shared and celebrated together
Work from modern and centrally located office at Kungsportplatsen in Gothenburg
Join a company with great benefits

Fulltime

Marketing AI & Automation Engineer

Bark is hiring a Marketing AI & Automation Engineer to join our Marketing team i...

Location

India , Bengaluru

Salary:

Not provided

Bark

Expiration Date

Until further notice

Requirements

5-8 years in a marketing career (marketing ops/performance/growth/martech/CRM) with hands-on experience in advertising, tracking, automation and CRM
Deep Claude Code expertise: you've authored skills, built .claude/ workspaces, and written or extended MCP servers, subagents and plugins
Agent-native stack fluency: Agent SDKs (Claude / OpenAI), Trigger.dev (or Inngest / Temporal), AI-coding tools (v0, Lovable, Bolt, Cursor, Replit Agent)
Code as a working language: you read, modify and debug Python / TypeScript when agents hand you output
Strong point of view: you have a thesis on how marketing should work in an agentic era, and you can defend it
Deep marketing fundamentals: paid media (keyword architecture, creative testing, audience logic, attribution, LTV/CAC), tracking, CRM lifecycle, analytics
Working knowledge of at least three of: GA4 / BigQuery, Google Ads API, Meta Marketing API, GSC, CDPs (Iterable / Segment / Customer.io), Tableau / Looker
Strong plus: hands-on with Google Tag Manager (container management, triggers, variables), pixel management, server-side tracking, Consent Mode, attribution setup
Plus: marketplace / two-sided / subscription / lead-gen-to-subscription experience (Polaris-type transitions)
Excellent written and spoken English

Job Responsibility

Build Our Agent Orchestrators
Ship Marketing Automations
Build the Claude Code Stack
Build Internal Tools Fast
Own Our AI Strategy & Enable the Team
Governance & Measurement

What we offer

Flexible working policy with India office located in CBD Bangalore
Insurances - Family Floater Mediclaim, Employee Personal Accident and Employee Term Life
Personal annual L&D Budgets to spend on your development
Enhanced Gympass membership for all employees with access to mental health courses and fitness classes
Fully stocked snacks in pantry, Monthly team lunches, Quarterly All-site Socials
Being at the forefront of an industry with new and exciting problems to solve

Fulltime

Technical Operations & AI Automation Engineer

Peakflo is a rapidly growing Agentic AI company. We are revolutionizing the way ...

Location

Thailand , Bangkok

Salary:

Not provided

Helpcare AI

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience in technical operations, backend engineering, or DevOps
Real fluency with PostgreSQL and/or MongoDB: you can read an explain plan and know what to do with it
Experience debugging payment flows, reconciliation failures, or financial data pipelines
Strong Python and bash scripting — you automate as a reflex, not an afterthought
Comfortable owning ambiguous, high-pressure incidents with limited documentation
Experience with Southeast Asian payment providers (GrabPay, PayNow, PromptPay, Xendit, etc.)
Practical use of AI coding agents (Claude Code, Cursor, Copilot) in day-to-day engineering work
LLMOps exposure: deploying, monitoring, or routing LLM APIs in production
Background in fintech, B2B SaaS, or finance operations tooling
Familiarity with NetSuite, Xero, or other ERP integrations

Job Responsibility

L2 Investigation & Incident Response: Own escalated production issues, database anomalies, failed transactions, data corruption, ghost records
Deep-dive PostgreSQL/MongoDB query analysis: explain plans, slow query logs, lock contention, index misuse
Triage and resolve payment failures across Southeast Asian rails, PSP integrations, and reconciliation gaps
Lead complex data migrations: schema changes, multi-tenant data moves, backfills with zero data loss
Write post-mortems and build runbooks
AI-Powered Automation: Build internal AI agents and tools that automate repetitive investigation and support workflows
Deploy LLM-powered diagnostics: log summarization, anomaly detection, automated root cause drafts
Instrument production systems with observability tooling
Identify any task done manually more than twice and automate it
Platform & Developer Tooling: Build and maintain CLI tools, internal dashboards, and scripts

What we offer

Competitive compensation package
Comprehensive health and wellness benefits
Direct access to leadership — you'll work closely with the CTO from day one
Collaborative and innovative work environment
Flexible work hours and remote work options
A platform with real engineering depth — payments, AI agents, ERP integrations, multi-tenant SaaS
The opportunity to automate an entire operations function from the ground up

Fulltime

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