Build and maintain production-grade agentic AI systems for an internal AI platform. Design AWS infrastructure, knowledge graph solutions using Neptune or Neo4j, and LLM-based reasoning and retrieval workflows. Troubleshoot integrated systems, collaborate across teams, influence technical direction, and support engineering best practices. The contract is expected to last 4–6 months, with possible extension, and requires strong Python, AWS platform engineering, and agentic AI expertise.
About the client
Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.
This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.
While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.
Duration is 4-6 months with the possibility of prolongation.
Time zone: EU or Canadian time zone.
We are ready to consider candidates for part-time cooperation.
Responsibilities:- Design, build, and maintain agentic AI systems as part of the AI platform
- Work in depth with AWS to build and operate the underlying platform infrastructure
- Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
- Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
- Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.
- 5+ years of experience in Software Development
- Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
- Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
- Strong Python knowledge
- Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
- Experience with LLMs, prompt engineering, and AI integration patterns.
- Strong troubleshooting skills and a collaborative, team-first mindset.
- English level - upper-intermediate (both verbal and written)
- Familiarity with MCP (Model Context Protocol).
- Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
- Docker/Kubernetes familiarity.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills:
Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills:
AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.
Top Skills:
Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
