Jobs in the United States

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Added 3 mins ago
Senior Data Scientist
GE Aerospace
Jacksonville, FL · Dayton, OH
Experience using an analytic development platform such as AWS or Databricks
Added 3 mins ago
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Remote, United States
- $131,000 to $174,000 USD / year
Automate repetitive operational work (provisioning, monitoring, patching, license management, reporting) using Python, Bash, PowerShell, Jenkins, Ansible, and similar tools.
Added 3 mins ago
AI & Automation Lead - Product Development
GE Aerospace
Evendale, OH
Software & Cloud: Proficiency in scripting and programming (Python, Java, C++, SQL) and familiarity with modern development practices, including Git, CI/CD, automated testing,…
Added 22 mins ago
LEAD AI ENGINEER CONSULTANT-INDIA
Lumen Technologies
HOME, IN
Proven experience architecting and deploying AI solutions on AWS, Azure, or GCP
Added 27 mins ago
Software Engineer II- Full-stack Developer
Deloitte
Saint Louis, MO
You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native…
Added 27 mins ago
Software Engineer II- Full-stack Developer
Deloitte
Kansas City, MO
You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native…
Added 44 mins ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Added 59 mins ago
Senior Data Engineer, WW Ops Finance - S&A
Amazon.com Services LLC
Bellevue, WA · Irving, TX
…designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments…
Added 1 hour ago
Database Administrator III
Saalex
Tidewater, VA
Experience with cloud-based database platforms (e.g., AWS RDS, Azure SQL).
Added 1 hour ago
Database Administrator III
Saalex
San Diego, CA
Experience with cloud-based database platforms (e.g., AWS RDS, Azure SQL).
Added 1 hour ago
S
Junior Computer Systems Analyst (Part-Time)
Saalex
Ridgecrest, CA
- $74,880 to $79,040 USD / year
- Part-time
Must possess an active Secret clearance with the ability to gain and maintain a Top-Secret clearance
Added 1 hour ago
S
Senior Systems Administrator
Saalex
Ridgecrest, CA
- $38 to $40 USD / hour
Must possess an active Secret clearance with the ability to gain and maintain a Top-Secret clearance
Added 1 hour ago
S
Journeyman Software Developer
Saalex
Patuxent River, MD
- $110,000 to $125,000 USD / year
Greenfield Engineering, a Saalex Company, is seeking a Journeyman Software Developer in Patuxent River, MD. The Journeyman Software Developer will support mission-critical DoD programs…
Added 1 hour ago
S
Data Engineer/ETL Developer
Saalex
Remote, United States
- $90,000 to $125,000 USD / year
**Onsite Requirements: Position may require on-site work at PAX approximately 1 day per week for meetings, collaboration, and technical tasking
Added 1 hour ago
Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Programming Languages: Java, Python, C#, Javascript/Typescript
Added 1 hour ago
Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Programming Languages: Java, Python, C#, Javascript/Typescript
Added 1 hour ago
Sr Associate Engineer/Engineer, IT Software
American Airlines
Fort Worth, TX
Programming Languages: Java, Python, C#, Javascript/Typescript
Added 1 hour ago
Offensive Security Senior Analyst
S&P Global
Dallas, TX
…operating systems (Windows, Linux, Mac), Entra/AD, cloud platforms (AWS, Azure or GCP and associated services), databases, middleware, email and web…
Added 1 hour ago
A
Lead Data/AI Engineering
AT&T
Dallas, TX
- $158,200 to $237,400 USD / year
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week · Certification is required in some areas
Added 1 hour ago
Full Stack / IOT Developer
3M
Austin, TX
Develop, deploy and support cloud-hosted services and interfaces across Microsoft Azure and Amazon Web Services (AWS), including container-hosted applications on Red Hat OpenShift Service…
Added 1 hour ago
Senior Data Scientist
Charles Schwab
Austin, TX
Proficiency in Python, SQL, and modern AI/ML frameworks and tools
Added 1 hour ago
Silicon Development Infrastructure Security, Annapurna ML
Amazon
Austin, TX
…agents that detect, explain, and fix security issues using Python, Bash, AWS Lambda, EventBridge, CloudWatch, CloudTrail, GuardDuty, Security Hub, and Amazon Bedrock. Turn repeated fixes…
Added 1 hour ago
Post-Silicon Systems Validation Engineer I, Annapurna Labs
Amazon
Austin, TX
Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with…
Added 1 hour ago
Software Engineer II- Full-stack Developer
Deloitte
Saint Louis, MO
You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native…
Added 1 hour ago
Software Engineer II- Full-stack Developer
Deloitte
Kansas City, MO
You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native…

Closed listing

GoOpti B.V.

Head of AI Engineering (Architecture & Agents)

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Nov 1, 2026

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Original job description

Archived listing. The details below describe a past opening.

Help 350,000 travellers a year move across Europe

Location: Remote (CET) with two days/month on-site or Ljubljana, Slovenia · Full-time Reports to: CEO, working daily with the dev team and CTO · Start February 2027 Salary: €75,000 - 100,000 gross per year + bonus and equity (TBC)

GoOpti is a door-to-door shared-transfer marketplace connecting cities and airports across Europe. Behind every booking sits real-time search, dynamic pricing, vehicle occupancy optimisation, franchise and partner settlement, and customer care in several languages and countries. We have decided to become an AI-native company. Not a chatbot bolted onto the website - a business where agents do real work in every department, safely, measurably, and connected to the systems that actually run the company.

We are looking for the person who designs that foundation and ships the first agents on top of it. You will be our first senior AI hire, with a direct line to the CEO and CTO and an open mandate to shape how we do this.

The role

You will do two things at once:

Architect the agent platform - how agents are orchestrated, how they reach our internal systems and data, how they handle context and memory, how we monitor them and where a person stays in the loop. An architecture that makes the tenth agent a week of work, not a new project.
Build and ship - hands on the code, connecting AI to our Java backend, our APIs and our databases, and getting the first autonomous agents into daily use.

What you'll own The Company Brain Bring together bookings, prices, trips and franchise results from our data warehouse with our business rules (fares, refunds, franchise terms) and our working knowledge - MS Teams, email, customer-care conversations, complaints, Git - into one machine-readable knowledge layer that agents can query, that flags contradictions and keeps itself up to date. Agent platform architecture

Tool / MCP layer over our booking, pricing, planning, analytics and financesystems
Orchestration and hand-off between agents, short- and long-term memory, context management
Observability, tracing and evaluations for non-deterministic systems
Human-in-the-loop checkpoints and permissioning - a person approves anything touching price or customers

The autonomous agents - start where impact is highest, prove it, expand:

Marketing - content, SEO/AEO and AI-readable answer pages across our markets
Development - agents supporting our engineering workflow, from triage to merge requests
Finance - agents supporting cashflow forecasting, reporting and clearing/refund reconciliation
Customer care - booking changes handled end to end by our customer-care chatbots (live today, built on OpenAI)
Pricing & planning - assistants that capture and apply the knowledge of our pricing and planning experts
Sales (fast follow) - lead handling and B2B partner support

Self-improving loops & token economics When an agent fails, a supervisor agent diagnoses why, drafts the code fix or policy change, tests it in a sandbox and opens a merge request for a person to approve. Own the model and token budget, choose models per task, run evaluations, and report cost per booking.

Intake, priorities & people Run a weekly intake of problems from department heads - at most two builds per department at once, each with an owner, a measure and a go/no-go gate. Lead one or two contract AI developers, work alongside our backend team, and teach managers how to write a good spec for an agent.

What success looks like

By 31 March 2027 - the platform foundation in place; three agent skills in daily use; baselines set; a supervisor agent learning from every conversation our chatbots hand to a person; our pricing and planning knowledge captured in the Brain.
By 30 June 2027 - at least two skills live in every department; improvement loops running in customer care, complaints and planning.
By 30 September 2027 - the summer peak handled with office headcount flat; an AI-native review of the whole company.

How we'll measure it: hours freed per week · share of customer conversations resolved without a person · revenue per employee · token cost per booking · fixes merged from loops. Targets are set together from the baselines.

What you'll connect AI to

Backend: Java core marketplace and micro services; new services in **Java** (REST, Hibernate/Panache, REST clients); legacy JRuby/Rails storefront being migrated to React
APIs: internal REST services, partner and aggregator APIs, payment and fraud screening integrations
Data: MySQL (operational + analytics databases), PostgreSQL, Redis, DynamoDB clickstream, a new BI warehouse
Infrastructure: AWS (EKS), Docker, Kubernetes / Helm, GitHub Actions CI/CD, New Relic

Requirements

What we're looking for

6+ years building backend or data systems, including 2+ years shipping LLM-based systems in production - tool use, retrieval, evaluations, agents. You have hit context limits, tool-calling failures, runaway costs and silent regressions, and you have opinions about each.
Strong backend engineering - you are comfortable in a large Java codebase, design clean REST APIs and integrate with existing services. Python or TypeScript for AI tooling.
Solid data modelling - SQL you can reason about seriously (MySQL / PostgreSQL)
Architecture thinking - you can argue for and against an approach, write the decision down, and design for scale, security and GDPR from day one.
Pragmatism - a record of building practical things fast in a small company with real, existing systems.
Communication - you explain trade-offs to non-technical managers and know when to say no. Fluent English.

Nice to have

Building MCP servers and multi-agent orchestration in production
Experience with LLM observability / eval tooling and model routing across providers (OpenAI, Anthropic, open models)
Travel, mobility or marketplace experience; routing or operations research

Benefits

What we offer

€75,000 - 100,000 gross a year, plus [bonus and equity - to confirm]
A genuinely open mandate: you shape the AI architecture of the whole company, not one feature
Direct access to the people whose problems you're solving - and leadership that has already committed to the goal
A business with real complexity: pricing, fleet optimisation, multi-country operations, partner settlement - agents with something worth doing
Visible impact: your work moves people across Europe every day
Budget for models, tools and evaluations
25+ days of vacation, team buildings and in-person meetups

If you want to build an AI-native company for real - with production systems, real customers and real money on the line - we'd love to hear from you. Apply now with your CV and a short note on one (biggest) LLM system you shipped to production: what broke, and what you changed.

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Jobs in the United States