Senior Lead - AI Engineering

Mars; Województwo mazowieckie; On-site; PLN 420,000 - 700,000; Full time

Job summary

Mars is seeking an experienced engineer to own a full AI-native stack, delivering scalable, secure, and production-ready GenAI solutions. You will integrate APIs, UI components, and orchestration pipelines while collaborating with business teams in agile sprints.

The role emphasizes responsible AI practices, RBAC, and alignment with Mars segments to codify patterns, tools, and governance for scale.

Qualifications

• Experience integrating AI into work processes and building AI-powered workflows.
• 10+ years of software engineering, including 3+ years in customer-facing or embedded roles.
• Proven ability to design and implement AI-native software in production environments.

Responsibilities

• Build solution-ready, LLM-enabled applications spanning backend, data orchestration, and front-end UI.
• Adopt responsible AI practices with RBAC and access management.

Skills

AI integration

Backend development

Frontend development

APIs REST/GraphQL

DevOps/CI-CD/Infrastruktur

System architecture

Tools

LangChain

Semantic Kernel

Vector search

Job description

Job Description:

Job Purpose/Overview

Mars Segments and Functions are raising the bar, AI must deliver business value not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure,

and scalable agentic software. As a systems-minded, AI-native engineer, the candidate will own the full stack—APIs, intuitive UIs, and scalable orchestration pipelines. Embedded deeply with the business teams, the candidate will diagnose the root problems, and architect AI-powered workflows that run at scale. The candidate will partner with business stakeholders to design, implement, and deliver solution-ready builds in agile sprints. The product becomes the reference implementation for scalable GenAI in the enterprise by codifying patterns, internal tooling, and delivering systems that are tested and scalable.

Key Responsibilities

• Build solution-ready, LLM-enabled applications that span backend logic, data orchestration, and front-end UI.

• Adopt responsible AI practices and principles and deploy compliant solutions with the right RBAC policies and access management.

• Work with business stakeholders to adapt, deploy, and iterate in live environments.

• Codify reusable asset that includes libraries, prompts, scaffold to accelerate futureengagements.

• Effectively engineer APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.

• Integrate with legacy systems, navigate ambiguity, and deploy at pace.

• Codify patterns - build scaffolds, SDKs, and documentation to scale across Mars Segments.

• Inform product strategy through tested insights and extensible code.

• Engage, negotiate and influence internal stakeholders to establish priorities in line with thehighest business impact.

• Shape internal tooling and integrate into platform roadmap and primitives.

• Provide Engineering leadership and win trust of architects, PMs, and business stakeholders

• Ensures the key handoffs and interdependencies, 3rd party firms and business stakeholders to ensure successful value delivery, and ability to scale.

• Define solutions for Mars business processes with clear articulation of business case and ROI.

• Identify the capability gaps that are hindering progress and propose solutions to address them.

• Responsible for operational excellence and service management across business segments, services and capabilities.

• Responsible for deploying environments and assigning digital workers in all stages of the automation development lifecycle.

• Manage capacity and utilization of servers, users, and credentials to ensure no delays for any automation projects.

• Design, maintain and oversee governance and control processes in collaboration with Security, Controls, Enterprise Architecture, and Identity teams.

• Training, support and consultation for partners, federated users, and key stakeholders

Job Specifications/Qualifications

• Experience in integrating AI into work processes and use case problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the function or business segment

• Relevant Experience: 10+ years of software engineering, including 3+ years building systems in customer-facing or embedded roles.

• System architecture: Proven ability to design and implement AI-native software in production environments.

• Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL).

• LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.

• Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring.

• Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org.

• Product sensibility: Prioritize for user value, MVP iteration, and long-term scale.

• DevOps fluency: Experience deploying in Azure, or GCP with CI/CD, containers, and infra-as-code.

• Ability to manage the coordination and governance of 3rd party strategic partner talent

• networks.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• A strong focus on learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

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