Eurosoftware UA

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX, and UI design, managed services, product development, and software development.

This is the job

We are seeking a Senior AI Engineer to drive the development of AI business agents using the SADK framework. Ideal candidates bring deep expertise in AI/ML/LLMs, RAG pipelines, vector databases, and agent frameworks, with a preference for healthcare/clinical trials experience and compliance knowledge.

The project is centered on the implementation of clinical solutions for pharmaceutical product development and testing.

This is you

• 5+ years in software engineering, including 3+ years with AI/ML/LLMs;
• Expert-level prompt engineering and LLM application development;
• Experience with OpenAI, Anthropic, or Azure OpenAI APIs;
• Strong proficiency in Python and/or TypeScript;
• Hands-on RAG (Retrieval Augmented Generation) implementation;
• Understanding of agent frameworks like LangChain or AutoGen;
• English - Upper-Intermediate level or higher.

Nice-to-have skills:

• Domain knowledge in healthcare or clinical trials;
• Experience with Microsoft Agent Framework or similar tools;
• Skills in fine-tuning and model optimization;
• Background in multi-agent systems and workflows;
• Knowledge of 21 CFR Part 11 and GxP compliance.

This is your role

• Lead development of business agents using the SADK framework;
• Design agent architectures, including Knowledge, Review, Triage, Workflow, Research, and Recommendation agents;
• Master prompt engineering techniques tailored to clinical use cases;
• Implement RAG pipelines and integrate knowledge bases;
• Optimize agent performance for accuracy, latency, and cost;
• Establish evaluation frameworks and quality metrics for agents;
• Mentor AI/ML engineers on best practices in agent development;
• Collaborate with domain analysts to translate requirements into agent specifications;
• Partner with the Platform Pod to improve SADK and identify new MCP server needs. 

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
 

This is the job
 

We are looking for a DevSecOps Engineer to lead security-by-design practices across GitLab CI/CD. You will help enforce application security, compliance, and delivery reliability through automation, vulnerability management, and secure SDLC standards. This role includes transitioning legacy security tools to GitLab-native capabilities and working closely with InfoSec, Cloud Platform, and Product teams.

This is you

• Proven experience with GitLab Ultimate security features and CI/CD administration
• Hands-on with SAST, DAST, SCA, container scanning, and secret detection in automated pipelines
• Practical experience with SCA tools like BlackDuck, Nexus Lifecycle, Snyk
• Familiar with SonarQube for code quality
• Strong scripting/automation skills in Python, Bash, YAML
• Solid fundamentals in container and cloud security (Docker, Kubernetes, image scanning, registry hardening)
• Experience with threat modeling, risk assessment, and remediation planning

Nice-to-have skills:

• Relevant certifications: DevSecOps Professional, CKS, Security+, or equivalent
• IaC security tooling experience (Terraform + OPA, Conftest, Checkov)
• Knowledge of software supply chain security, including SBOM, Cosign, and SLSA
• Familiarity with DORA metrics and security KPI reporting

This is your role

• Drive secure-by-design guardrails across GitLab CI/CD
• Implement and maintain automated security scanning: SAST, DAST, SCA, container, and secret detection
• Enforce policy-as-code (branch protection, MR approvals, vulnerability gates, artifact signing)
• Manage vulnerability lifecycle: periodic assessments, triage, remediation planning, and tracking to closure
• Collaborate with engineering and product stakeholders to prioritize security fixes
• Align controls with CIS, NIST, and (if applicable) GDPR
• Enable audit-ready reporting, SBOM generation, and security KPIs in observability dashboards
• Implement secure IaC using Terraform/Ansible and apply least-privilege and zero-trust patterns
• Harden CI/CD infrastructure: build runners, container images, registries, and deployment targets
• Champion shift-left security via training, playbooks, and standardized toolchains
• Document security runbooks and contribute to SDLC harmonization standards