Test - ML/AI Engineer

Lingaro; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Office as an option

Workation

Great Place to Work certified

Flexible hours

Online onboarding with buddy

Udemy learning access

Training certificates program

Charity and environment support

Job summary

Lingaro is seeking a Senior Specialist to join our Data Science and AI Competency Center, focusing on AI Engineering. You’ll build scalable AI capabilities and production-grade systems, integrating LLMs, retrieval, and agent-based workflows. Collaborate with product teams to deliver measurable business value and ensure high standards.

You will work with Python, Azure, and AWS, and contribute to governance, testing, and scalable engineering practices across global projects.

Qualifications

• 5+ years hands-on software engineering with AI or data-intensive systems.
• Excellent Python programming skills and cloud experience (Azure/AWS).
• Strong understanding of LLMs, retrieval, tools, agents, and evals.
• Ability to design reusable patterns and collaborate with product teams.

Responsibilities

• Build and evolve shared AI capabilities and reusable services for multiple products.
• Design production-grade AI systems including LLM-based experiences and pipelines.
• Create specs, evals, and workflow contracts to improve quality and delivery speed.
• Define evaluation loops covering quality, latency, cost, and reliability.
• Collaborate with product teams to identify cross-product opportunities and patterns.
• Contribute to AI-native engineering practices and automated testing.
• Apply guardrails for reliability, observability, governance, and security.
• Prototype new approaches and translate AI capabilities into scalable building blocks.
• Guide other engineers through collaboration and knowledge sharing.

Skills

Python

Azure

AWS

Generative AI

LLMs

APIs

Distributed systems

Education

Master’s degree in Computer Science, Software Engineering, AI, or related field

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. _

_ The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team. _

What you’ll be doing

• 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.

What we’re looking for

• 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.
• Excellent Python programming skills.
  Proficiency in Azure and 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.
• Availability to work between 2:00 PM and 10:00 PM CET is preferred.
  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.
  

We offer

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work® certified employer.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top‑tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values‑driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.

Technology

Python, Azure, AWS, Generative AI

Seniority

Senior Specialist