AI Engineer

Digitopia; Fatih; Ibrido; TRY 350.000 - 550.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working

Stock options

Generous paid time off

Descrizione del lavoro

Digitopia is expanding its AI capabilities, building reusable agents, intelligent workflows and reliable platform services to turn insights into action. We seek an AI Engineer who turns fast-moving AI tech into dependable products powering Digitopia’s experiences.

You will work across experimentation and production, shipping production-ready AI features, and turning prototypes into maintainable services while focusing on observability, safety, speed and cost as our AI systems scale.

Competenze

• Solid software engineering with strong APIs, testing, data modeling and system design.
• Willingness to contribute to architecture, code review, documentation, CI/CD and security.

Mansioni

• Measure AI system performance with practical evals.
• Design and implement safeguards (guardrails) for reliable AI behavior.
• Ensure traceability of AI interactions, including failures and unexpected behavior.
• Improve cost and speed through caching, tiering and efficient context management.
• Build platform capabilities (service accounts, endpoints, state management) for safe agent operations.

Conoscenze

APIs

Testing

Data modeling

System design

CI/CD

Strumenti

AWS Bedrock

Claude

Kotlin

Java

Spring

gRPC

OpenAPI/Swagger

PostgreSQL

Docker

Kubernetes

Terraform

Databricks

Snowflake

Descrizione del lavoro

A strong software engineer who can turn fast-moving AI technology into dependable products and capabilities. You will work across experimentation and production, building the foundations that power AI experiences across Digitopia’s products and solutions.

Digitopia is reinventing consulting. We help ambitious organizations #ScaleValue. As creators of the Impact Platform and maturity frameworks, we help companies understand where they stand, decide what matters next, and turn their digital and AI ambitions into measurable progress.

Now, we are expanding the AI capabilities behind that mission. We are building reusable agents, intelligent workflows and reliable platform services that help organizations move from insight to action.

To make that happen, we are looking for an AI Engineer: a strong software engineer who can turn fast-moving AI technology into dependable products and capabilities.

What success looks like

You will help make AI useful, reliable and scalable across Digitopia. Success means:

• Shipping production-ready AI capabilities that solve meaningful user and business problems.
• Turning promising prototypes into reliable and maintainable services.
• Improving evaluation, observability, safety, speed and cost as our AI systems scale.
• Creating reusable foundations that help product and customer-facing teams move faster.

What you’d work on

Evals

Building practical ways to measure whether an AI system is actually performing better, rather than relying on subjective feedback.

Guardrails

Designing and implementing safeguards that help AI systems behave reliably and appropriately.

Making it easy to understand what happened during every AI interaction, including failures and unexpected behavior.

Enabling agents to access the tools, services and information they need while completing a task.

Retrieval

Choosing the right way to access information, whether through graph queries, embeddings, search or simple lookups.

Cost and speed

Improving performance through techniques such as prompt caching, model tiering and efficient context management.

An agent-friendly platform

Building platform capabilities such as service accounts, batch operations, reliable endpoints and server-managed state so agents can work effectively and safely.

What makes you a great fit

• Solid software engineering. Strong fundamentals in APIs, testing, data modeling and system design. This is the part we care about most.
• A willingness to be in the system, not beside it. You will contribute to architecture, code review, documentation, CI/CD and security, because our AI capabilities are part of a real production platform. This is not a role focused only on writing prompts — we are looking for someone who wants to take ownership of the engineering behind AI products as well.
• Something you’ve built with an LLM that went past the demo stage — a repository, a deployed application, a technical project or a write-up. We would genuinely like to see what you have built.
• Comfort weighing model quality against user experience, technical complexity, speed and cost rather than optimizing only one of them.
• Curiosity that stays strong even as the field continues to change.
• Enjoying the company of consultants and domain experts — many of our best product and design ideas come from people who deeply understand the business problem, even if they do not write code.
• Strong new graduates are very welcome, especially those with internships, research, open-source work or personal projects that demonstrate the same engineering mindset.

Technical skills we’re looking for

• Cloud and AI platforms: AWS, AWS Bedrock, and Anthropic’s Claude.
• AI patterns: agentic AI, RAG, vector databases, prompt caching, evaluations and guardrails.
• Backend and integration: Kotlin, Java, Spring, gRPC, OpenAPI/Swagger, PostgreSQL, SAP or SAP BTP, and enterprise system integration.
• Data and infrastructure: Databricks, Snowflake, Docker, Kubernetes, Terraform, and CI/CD.

You do not need to match every keyword. We care more about what you can build, how rigorously you think, how quickly you learn, and how seriously you take ownership.

How we like to work

• We believe in using the simplest mechanism that solves the problem well — embeddings instead of a chat model, a simple lookup instead of retrieval, stateless subagents instead of shared context.
• We value solutions that are easy to test, understand and maintain.
• Our development team is already 100% agentic: AI agents write software, while engineers direct, review and take responsibility for the output.
• Understanding the platform deeply, reviewing AI-generated output critically, and taking responsibility for what gets shipped are important parts of the role.

What’s in it for you

Build the AI core

Shape capabilities that can be reused across Digitopia’s platform, consulting solutions and customer engagements.

Modern AI exposure

Work with enterprise AI patterns, AWS Bedrock, Anthropic’s Claude, and the latest developments in generative and agentic AI.

Move from exploration and architecture to deployment, measurement and continuous improvement.

Access mentorship, courses, experimentation time and internal knowledge-sharing.

See your work help organizations make better decisions and execute transformation more effectively.

Enjoy hybrid working, flexible hours and generous paid time off.

Join a team that values authenticity, curiosity, bold ideas and learning through action.

Receive a highly competitive compensation package with stock options tied to your lasting impact.