AI Engineer - AI Model Integration Build (107-08SENG-01)

OpsBrasil Serviços Cloud LTDA

Remote · worldwide, UTC+4 acceptedSalary not disclosedcontractVerified recentlyHimalayas

We are looking for an AI Engineer to deliver a scoped AWS model-integration project for a multi-cloud AI filmmaking platform. This is a proof-of-concept engagement, model-integration-as-a-service: a thin AWS Lambda + API Gateway proxy layer that plugs into the client's existing Firebase/GCP frontend, without migrating their backend or disrupting their release process.

Responsibilities

Build the AWS Proxy Layer: Architect and deploy a serverless proxy (AWS Lambda fronted by API Gateway) provisioned via Infrastructure-as-Code (AWS CDK or CloudFormation), mirroring the client's existing model-call pattern with no changes to their Firebase deployment pipeline.
Add 9:16 Vertical Parameter
Support: Extend six model integrations (Veo, Sora, SeedDance for video; GPT-Image, Nano Banana, FLUX for image) to support vertical aspect ratio, passed through to each provider's API with no changes to existing prompt/style/camera controls.
Integrate SeedDance 2.5
Build a direct ByteDance/ModelArk REST API integration (bearer-token auth), wrapped in a dedicated Lambda function and surfaced in the client's UI using their existing dropdown pattern.
Implement Content Moderation Pre-Check: Add an Amazon Bedrock-based moderation step ahead of FLUX and SeedDance calls specifically, screening for celebrity/political likeness and graphic content (final mechanism — Guardrails policy, LLM classification, or combination — defined during design).
Validate End-to-End: Exercise the full flow through a new demo project — story ideation → storyboard image generation → 9:16 SeedDance video generation → MP4 export — validated in a Beta environment.
Document Decisions: Confirm and document technical assumptions (e.g., no-train/no-retain flag verification for the ModelArk API) so deliverables are defensible and auditable.

Languages

Work format: Remote
Seniority: Senior
Posted: 31 Aug 2026 (4 days ago)
Last verified: 3 Sept 2026
Apply by: 30 Oct 2026

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Responsibilities

Build the AWS Proxy Layer: Architect and deploy a serverless proxy (AWS Lambda fronted by API Gateway) provisioned via Infrastructure-as-Code (AWS CDK or CloudFormation), mirroring the client's existing model-call pattern with no changes to their Firebase deployment pipeline.

Add 9:16 Vertical Parameter

Support: Extend six model integrations (Veo, Sora, SeedDance for video; GPT-Image, Nano Banana, FLUX for image) to support vertical aspect ratio, passed through to each provider's API with no changes to existing prompt/style/camera controls.

Integrate SeedDance 2.5

Build a direct ByteDance/ModelArk REST API integration (bearer-token auth), wrapped in a dedicated Lambda function and surfaced in the client's UI using their existing dropdown pattern.

Implement Content Moderation Pre-Check: Add an Amazon Bedrock-based moderation step ahead of FLUX and SeedDance calls specifically, screening for celebrity/political likeness and graphic content (final mechanism — Guardrails policy, LLM classification, or combination — defined during design).

Validate End-to-End: Exercise the full flow through a new demo project — story ideation → storyboard image generation → 9:16 SeedDance video generation → MP4 export — validated in a Beta environment.

Document Decisions: Confirm and document technical assumptions (e.g., no-train/no-retain flag verification for the ModelArk API) so deliverables are defensible and auditable.