AI Data Engineer

About Us

UJET leads the way in AI-powered contact center innovation delivering a future-proof cloud platform that redefines the customer experience with cutting-edge AI true multimodality and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations to drive automation and efficiency. UJETs AI solutions empower agents optimize customer journeys and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach UJET ensures unmatched security scalability and prioritized data insights (without storing PII). Designed for effortless use UJET partners with businesses to deliver exceptional interactions smarter decision-making and accelerated growth in the AI-driven world.

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Opportunity

UJETs conversation-analytics product Spiral is helping product support and CX leaders see what their customers are actually saying at scale. We ingest voice recordings chat transcripts surveys and ticket data from every CCaaS CRM and storage system our customers can hand us transcribe and PII-redact at scale and use LLMs to surface user stories taxonomies and the trends that drive product and operational decisions.

We are hiring an AI Data Engineer to own the seam between customer says yes and data is flowing into Spiral. You will run technical discovery with new customers design the integration that brings their data into our pipeline and then build it end-to-end writing the code that adapts their data wiring the cloud infrastructure that hosts the connection and shipping the result into production. This is a hybrid role that combines pre-sale technical scoping with hands-on data-pipeline engineering. You will be the customers technical counterpart from the first discovery call through steady-state ingest. You will be a member of the Spiral engineering team in every operational sense - working in a shared codebase opening pull requests participating in code review debugging in production and shipping changes through CI alongside the rest of engineering. This role is engineering-team membership with a customer-facing dimension; it is not a customer-success or pre-sales role that occasionally touches code.

Responsibilities

• Run technical discovery with new customers to scope what data is available where it lives and how it will reach Spiral
• Design the integration approach for each customer: whether thats cloud-to-cloud bucket access vendor push uploads scheduled API pulls file drops or auth-protected exports and explain the tradeoffs to their engineering counterpart
• Shepherd credential and access exchange between the customer and Spiral - cloud access policies OAuth or token-based authentication setup key handoff - and stay on the thread until access is verified end-to-end
• Write the code that adapts each customers data shape into our ingestion contract and ship it to production through code review
• Make infrastructure-as-code changes to provision the cloud resources identity grants and secrets each new customer requires
• Configure and operate the orchestration that runs each customers recurring ingest; validate end-to-end through run history logs and metrics
• Reconcile ingested data against source-system counts; diagnose and backfill historical gaps
• Own customer relationships post-go-live: schema changes new feed requests data-format drift and surfacing upsell opportunities back to the account team
• Partner with Sales Customer Success and Spiral Engineering to compress time-to-first-data on every new deal

Requirements

• Bachelors degree in Computer Science Computer Engineering Data Science or Data Analytics with a CS/computing focus - or an equivalent rigorous technical degree
• Prior production engineering experience with data pipelines integrations or analytics infrastructure - internship contract or full-time all qualify
• Daily fluency with a standard engineering workflow: working in a shared codebase via git authoring pull requests giving and receiving substantive code review debugging from logs and shipping through CI - this is everyday work in this role not a once-a-quarter activity
• Comfort using AI as part of the everyday engineering workflow - LLM APIs AI-assisted coding tools prompt design and a clear-eyed view of where AI multiplies the work and where its first pass needs to be overridden
• Comfort writing production code in a modern typed or scripting language (years of experience scaling with level - new grads with strong fundamentals welcome)
• Working knowledge of a major cloud provider - identity and access management object storage secrets handling and the security model that governs cross-organization access
• Experience with at least one data orchestration or ETL system whether durable workflow batch scheduler or stream processor
• Strong SQL chops; comfortable querying data to validate and reconcile what landed against what was sent
• Customer-facing communication skills - able to hold a technical conversation with a customers engineering counterpart and leave with a decision
• Clear written communication async-first as most coordination happens over email chat and tickets across multiple timezones
• A bias toward decisions over open questions and a habit of writing the recommendation not just the options

Stand-out Qualifications

• Hands-on experience with Temporal or another durable workflow engine
• OAuth integration experience (Salesforce JWT Bearer or Client Credentials especially)
• Infrastructure-as-code experience with AWS CDK or Terraform
• Experience with a columnar analytics database (ClickHouse BigQuery Snowflake Redshift DuckDB)
• Background in contact center CCaaS or CX domains (UJET Genesys Five9 Twilio Aircall Talkdesk NICE)
• Comfort estimating cost and runtime of transcription or LLM pipelines at six-figure-file scale
• Experience building with LLM APIs (Anthropic OpenAI AWS Bedrock or equivalent) - evaluation prompt design cost and latency tradeoffs
• Has used AI coding agents on a non-trivial engineering project and can articulate where the agent multiplied them and where they had to override its first pass
• Prior experience as a Forward-Deployed Engineer Solutions Engineer Implementation Engineer or Technical Account Manager

Annual US Hiring Range: $80000 - $100000

*A candidates actual placement within this range will depend on geographic location work experience education and/or skill level.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

This is hybrid role with in-office collaboration required in Santa Monica must currently reside in the Greater Los Angeles area to be considered; no relocation will be provided.

#LI-Hybrid

Why UJET

• Impactful Work: Be at the forefront of innovation directly shaping the future of customer experience.
• Dynamic Culture: Join a collaborative inclusive team that values big ideas creative solutions and powerful relationships.
• Comprehensive Benefits: Medical dental vision 401(k) plan wellness benefits and more.

UJET is an Equal Opportunity Employer

UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

Compliance Responsibilities

Security data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.

AI Use in Our Hiring Process

UJET uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions does not conduct interviews and has no authority to reject or advance a candidate on its own. All application review decisions candidate screening and interviews are conducted by members of our human recruiting and hiring teams.

Reasonable Accommodation

If you would like to request a reasonable accommodation as part of the application process including an alternative to AI-assisted screening please contact .

Work Authorization & Sponsorship

Applicants must be legally authorized to work in the country in which this position is located without the need for current or future employer-sponsored visa sponsorship. UJET does not sponsor employment visas for this role.