AI/ML Engineer (Gen AI)

Lingaro Group Philippines; Manila; Ibrido; PHP 1.200.000 - 2.400.000; Tempo pieno

Vantaggi offerti da questo lavoro

Office as an option

Udemy learning platform access

Certificate training programs

Well-being activities

Charity and environment support

Descrizione del lavoro

Lingaro Group Philippines is seeking a software engineer with 3+ years of hands-on experience in production-grade AI and data-intensive systems. The role requires excellent Python skills and solid cloud experience (Azure; GCP/AWS a plus).

You will work on Generative AI tech, LLMs, retrieval pipelines, and AI workflows, collaborating with product teams to deliver scalable solutions. You will design end-to-end AI systems, implement evaluation loops, and help establish guardrails for reliable,

Competenze

• 3+ years of hands-on software engineering experience in production-grade AI or data-intensive systems.
• Excellent Python programming skills.
• Proficiency in Azure cloud platform; GCP/AWS is nice to have.
• Hands-on experience with Generative AI technologies and applications.
• Strong understanding of LLMs, retrieval-augmented generation, tool use, and agents.
• Experience designing and operating end-to-end AI systems across APIs, data pipelines, and cloud infrastructure.
• Ability to define measurable quality criteria and evaluation approaches for AI systems.

Mansioni

• Build and evolve shared AI capabilities, reusable services, and engineering accelerators across multiple software products.
• Design and implement production-grade AI systems including LLM-based experiences and orchestration layers.
• Create technical artifacts such as specs, evals, interface definitions, and workflow contracts.
• Define evaluation loops for AI systems covering quality, reliability, latency, and cost.
• Collaborate with product teams to identify cross-product opportunities and guide integration patterns.
• Contribute to AI-native engineering practices and automation within the team.
• Apply guardrails for AI reliability, governance, and responsible usage.
• Prototype and validate new approaches turning AI capabilities into scalable building blocks.
• Mentor engineers through peer review and knowledge sharing.
• Align implementation choices with customer value and measurable outcomes.

Conoscenze

Python

Azure

GCP/AWS

Generative AI

LLMs

APIs

Data pipelines

End-to-end AI systems

Formazione

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

Descrizione del lavoro

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.

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.

What We're Looking For:

• At least 3+ 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 cloud platform, GCP/AWS nice to have.
• 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.

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.

• Possibility of access to the Udemy learning platform.

• 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.