Forward Deployed AI Engineer

Digitopia

Forward Deployed AI Engineer developing secure, scalable AI solutions for clients at Digitopia. Collaborating on technical planning and integrating AI with enterprise systems in a hybrid work environment.

Posted 7/25/2026full-timeIstanbul • 🇹🇷 TurkeyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing generative AI solutions using AWS services and various programming languages, while effectively collaborating with cross-functional teams to address client needs. Proficient in integrating APIs and data sources, with a strong understanding of software architecture and cloud environments.

Highest-signal resume keywords

Generative AI Application DevelopmentAWS ServicesPython ProgrammingAPI IntegrationTechnical Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonKotlinJavaTypeScriptSQLSoftware ArchitectureCloud EnvironmentsData PipelinesVersion ControlAI/ML Solutions

Soft Skills

Clear CommunicationAdaptability

Tools & Technologies

AWS BedrockAnthropic ClaudeDatabricksSnowflakeDockerKubernetesTerraformCI/CDPostgreSQLSAP

Industry Keywords

Agentic AIRAGVector DatabasesPrompt CachingEvaluationsGuardrailsEnterprise System Integration

Tech Stack

Tools & technologies

AWSCloudDockerGRPCJavaJavaScriptKotlinKubernetesPostgresPythonSpringSQLTerraformTypeScript

About the role

Key responsibilities & impact

Turn client needs into technical solutions by working with Digitopia’s consulting, product, and engineering teams.
Share recurring client needs with product and engineering teams to shape reusable solutions.
Prototype, develop, test, and support the implementation of generative and agentic AI solutions.
Build with AWS services, Anthropic models, and other technologies selected according to each project’s needs.
Contribute to agentic applications, including evaluations, guardrails, and appropriate reliability and context-management practices.
Integrate solutions with APIs, data sources, business applications, and platforms such as SAP.
Collaborate with internal teams, contribute to technical planning, identify potential risks, and help turn prototypes into practical solutions.

Requirements

What you’ll need

Relevant experience across software engineering, AI/ML, data or solutions engineering, technical consulting, or a related field.
Comfortable coding in Python and ideally at least one additional language from our stack, such as Kotlin or Java for backend services, or TypeScript/JavaScript for frontend development.
Understanding of APIs, SQL, data pipelines, software architecture, version control, and cloud environments.
Built or meaningfully contributed to an AI, ML, LLM, or generative AI application.
Clear communication with both technical and non-technical stakeholders.
Comfortable working with evolving requirements and making progress without having every answer upfront.
Fluent in English; an additional language is a plus.
Experience with cloud & AI platforms: AWS, AWS Bedrock, and Anthropic’s Claude is a plus.
Familiar with AI patterns: Agentic AI, RAG, vector databases, prompt caching, evaluations, and guardrails is a plus.
Experience in backend & integration: Kotlin, Java, Spring, gRPC, OpenAPI/Swagger, PostgreSQL, SAP or SAP BTP, and enterprise system integration is a plus.
Familiarity with data & infrastructure: Databricks, Snowflake, Docker, Kubernetes, Terraform, and CI/CD is a plus.

Benefits

Comp & perks

Impact from Day 1: Work on real customer problems and see the solutions you build create measurable value.
A rare career path: Grow at the intersection of AI engineering, consulting, product thinking, and customer delivery.
Modern AI exposure: Work with AWS Bedrock, Anthropic’s Claude, enterprise platforms, and the latest developments in generative and agentic AI.
Continuous growth: Access mentorship, courses, experimentation time, and internal knowledge-sharing.
Real ownership: Take responsibility for meaningful projects.
Balanced flexibility: Enjoy hybrid working, flexible hours, and generous paid time off.
Supportive culture: Join a team that values authenticity, curiosity, bold ideas, and learning through action.
Long-term rewards: Receive a highly competitive compensation package with stock options tied to your lasting impact.