AI/ML Engineer - Freelancer (Part-time)

Lingaro Group; Polska; Hybrid; PLN 138,000 - 207,000; Part time

Benefits offered by this job

Established global technology partner

Flexible collaboration model

Diverse and inclusive community

Autonomy to choose how you work

Job summary

Lingaro Group is seeking a senior AI/ML engineer for a freelance, part-time engagement. You will build and evolve AI capabilities, design production-grade AI systems, and collaborate with product teams to deliver measurable outcomes.

The role emphasizes hands-on development on data-intensive systems, cloud proficiency (Azure/AWS), and practical experience with Gen AI, LLMs, and agent workflows within a remote-friendly model.

Qualifications

• At least 5+ years of hands-on software engineering experience on production-grade AI or data-intensive systems.
• Proficiency in Azure/AWS cloud platforms.
• Hands-on experience with Generative AI technologies and applications.
• Strong understanding of LLMs, retrieval-augmented generation, tool use, agents, and related trade-offs.
• Experience designing and operating end-to-end AI systems across APIs, data pipelines and cloud infra.
• Ability to define measurable quality criteria and evaluation approaches for AI systems.

Responsibilities

• Build and evolve shared AI capabilities and reusable services across multiple products.
• Design and implement production-grade AI systems including LLM-based experiences and orchestration layers.
• Create technical artifacts such as specs, evals, interfaces, and contracts to improve delivery quality.
• Define evaluation loops for AI systems focusing on quality, reliability, latency, cost, grounding.
• Collaborate with product teams to identify cross-product opportunities and integration patterns.
• Contribute to AI-native engineering practices like Spec-Driven Development and automated testing.
• Apply guardrails for AI reliability, observability, and responsible production use.
• Prototype new approaches to turn AI capabilities into scalable building blocks.

Skills

AI/ML engineering

Cloud platforms

Generative AI

LLMs

Retrieval pipelines

Agent workflows

Software design

Collaboration

Education

Master's degree in CS/SE/AI

Tools

Azure

AWS

Python

LLM tooling

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Freelance Cooperation – What Does It Mean?

Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.

Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.

Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.

No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.

Tasks:

Build and continuously evolve shared AI capabilities, reusable services, and engineering accelerators that can be adopted across multiple construction software products.

Design and implement production-grade AI systems including LLM-based experiences, retrieval pipelines, tool use, orchestration layers, and agentic workflows.

Create human- and machine-executable technical artifacts such as specs, evals, interface definitions, and workflow contracts that improve clarity, speed, and quality of delivery.

Define and apply evaluation-driven development loops for AI systems, covering quality, reliability, latency, cost, grounding, and other relevant performance dimensions.

Partner with product teams to identify high-value cross-product opportunities, support integration of shared capabilities, and recommend patterns without owning product-specific architecture decisions.

Contribute to AI-native engineering practices inside the team through Spec-Driven Development, AI-assisted development workflows, automated testing, and intelligent engineering agents.

Apply practical standards and guardrails for AI reliability, observability, governance, security, and responsible production use of AI solutions delivered by the central team.

Prototype and validate new technical approaches quickly, turning emerging AI capabilities into scalable building blocks with clear business relevance.

Support and guide other engineers through technical collaboration, peer review, and knowledge sharing in modern AI engineering and experimentation.

Work closely with AI PM / PO, engineering, and business stakeholders to align implementation choices with customer value, delivery feasibility, and measurable outcomes.

Requirements:

At least 5+ years of hands-on software engineering experience, including significant work on production-grade AI or data-intensive systems in complex delivery environments.

Proficiency in Azure/AWS cloud platforms.

Hands-on experience with Generative AI technologies and applications.

Strong practical understanding of LLMs, retrieval-augmented generation, tool use, agents, and their real-world trade-offs, limitations, and failure modes.

Experience designing and operating end-to-end AI systems across APIs, application services, data pipelines, retrieval layers, evaluation workflows, and cloud infrastructure.

Ability to define measurable quality criteria and evaluation approaches for AI systems, balancing customer value with reliability, latency, cost, and maintainability.

Practical experience with AI-assisted engineering, Spec-Driven Development, and modern developer tooling; able to improve how teams work by combining human judgment with automation and agent support.

Strong architectural judgment with the ability to design reusable patterns and shared capabilities while collaborating effectively with product teams that own their local implementation decisions.

Demonstrated track record of contributing to cross-functional work from early exploration and prototyping through production rollout and continuous improvement in agile environments.

Ability to support and influence other engineers, raise technical standards through collaboration, and create clarity in ambiguous and fast-changing AI environments.

Strong communication and collaboration skills, with the ability to translate technical complexity into decisions and actions for product, engineering, and business stakeholders.

Adaptive mindset, high learning agility, and genuine openness to continuous change in a field shaped by rapid advances in AI.

Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field; equivalent experience considered for exceptional candidates.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

What we offer:

Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.

Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.