Innovecs

Solutions Engineer

• AI Products & Solution Architecture:
• Design and guide implementation of AI-driven products, APIs, and platform features from concept to production;
• Evaluate, select, and benchmark AI/ML models — including frontier LLMs, fine-tuned models, and open-source alternatives;
• Architect scalable, observable, and cost-efficient AI systems that span experimentation, staging, and production;
• Collaborate with product managers and business stakeholders to translate requirements into robust solution architectures;
• Establish architectural standards for multi-agent systems, including context management strategies and memory designs.
• Agentic AI & Process Automation:
• Identify business processes that can be automated or enhanced via agentic AI, and define the architecture for doing so;
• Design and oversee implementation of MCP server ecosystems that connect agents to enterprise data sources and tools;
• Architect multi-agent workflows using orchestration frameworks (LangGraph, CrewAI, AutoGen), with appropriate human-in-the-loop checkpoints;
• Integrate agent-to-agent communication standards (A2A, ACP) where multi-agent coordination is required;
• Drive governance of MCP deployments: audit trails, authentication, rate limiting, and access control policies;
• Embed AI into internal and external tools to improve operational efficiency across teams.
• AI-Augmented Software Engineering:
• Set up and continuously optimize AI-augmented developer environments (Claude Code, Cursor, GitHub Copilot);
• Introduce AI into automated testing, deployment pipelines, code review, estimation, and technical documentation;
• Define and enforce best practices for using AI coding tools safely, securely, and productively in software delivery;
• Drive adoption of context engineering disciplines — designing prompts, tool schemas, and MCP resources that maximize agent reliability;
• Governance, Security & Responsible AI:
• Ensure all AI systems are designed with security-first principles: input validation, output guardrails, and least-privilege access;
• Maintain AI compliance standards aligned with GDPR, the EU AI Act, EU Data Act, CRA, ISO27001, and internal model governance policies;
• Implement observability and evaluation pipelines to detect hallucinations, drift, and performance degradation in production LLM systems.

AI Solutions Architect

Recruitment

• Develop and implement talent sourcing strategies to identify and attract top talent for open positions in the company;
• Use a variety of sourcing techniques to identify potential candidates, including online job boards, social media platforms, professional networking sites, and employee referrals;
• Build and maintain relationships with potential candidates and maintain a pipeline of talent for future hiring needs;
• Manage the recruitment process for open positions, including posting job advertisements, reviewing resumes, and scheduling interviews;
• Stay up-to-date with industry trends and developments in talent sourcing, and use this knowledge to improve and innovate the talent acquisition process;
• Support of recruiters, team leads and business stakeholders with any tasks/researches related to TA activities.

Talent Sourcer

Backend Engineer

• Build core systems
• Architect and implement ad-serving infrastructure for real-time bidding
• Design high-performance APIs with strict latency and throughput requirements
• Build revenue tracking and analytics systems
• Own complex backend problems
• Manage database migrations, query optimization, and caching strategies
• Implement third-party integrations with e-commerce and ad-tech partners
• Build internal tools and automation workflows
• Data-driven development
• Optimize PostgreSQL query plans and indexing strategies
• Design caching layers and data access patterns for high-throughput workloads
• Implement A/B testing infrastructure for ad placement optimization
• Cross-functional impact
• Work directly with founders and product team
• Shape technical architecture and engineering practices
• Mentor junior developers and contractors

Senior Backend Engineer, Node.js

Security Engineer

• Own and improve the organization’s security and compliance processes across the Azure cloud environment.
• Manage and coordinate compliance activities related to SOC 2, ISO 27001, GDPR, and other relevant regulatory or customer-driven frameworks.
• Assess regulatory, privacy, and security requirements when engaging clients from new countries/regions, and translate those requirements into internal controls, policies, and implementation steps.
• Partner with Engineering, DevOps, IT, Legal, HR, and leadership teams to implement and maintain scalable compliance and security processes.
• Support client security reviews, due diligence requests, and security questionnaires with accurate documentation and evidence.

AI Solutions Architect

Talent Sourcer

Senior Backend Engineer, Node.js

Senior Security Specialist