AI-powered Applications jobs

Lead AI/ML Engineer

84.51° · Posted Nov 3, 2026

Open

Cincinnati, Ohio, United States +1 more
On-site
Full-time · Lead
$125K–$207K per year
4+ years

Lead AI/ML Engineer

84.51° · Posted Nov 3, 2026

Open

Cincinnati, Ohio, United States +1 more
On-site
Full-time · Lead
$125K–$207K per year
4+ years

Lead Software Engineer, Backend - Growth & Monetization

Nominal · Posted Nov 8, 2026

Open

New York, New York, United States
On-site
Full-time · Senior
5+ years

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Lead the backend side of the Growth & Monetization team, setting technical direction for billing, metering, entitlements, and related infrastructure.

Responsibilities

Set the technical strategy for monetization infrastructure
Identify and unlock growth opportunities
Build the core systems yourself
Make customer value tangible
Build frictionless customer journeys

Skills

Go Rust Java billing metering payments usage-based pricing event-driven architectures notification systems lifecycle messaging product-led growth

Software Engineer (Full Stack)

Activate Interactive Pte Ltd · Posted Nov 6, 2026

Open

Singapore, Singapore, Singapore
Contract
3+ years

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Full-Stack Engineer developing AI-powered digital services for Singapore Government Agencies.

Compensation

Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

Responsibilities

Develop, deploy and maintain scalable, secure and high-performance AI-enabled web applications
Develop AI-powered applications including chatbots
Integrate MCP servers and clients
Implement application and AI security controls
Develop automated tests and evaluations

Requirements

Degree or Diploma in Computer Science, Computer Engineering, Information
Nice to have: OpenAI Agents SDK or LangGraph
Nice to have: Amazon Bedrock AgentCore
Nice to have: Whole-of-Government Application Analytics (WOGAA)
Nice to have: Google Analytics

Skills

JavaScript/TypeScript (React or Next.js)Python (FastAPI)Node.js REST GraphQL

Senior Full-Stack Engineering Lead — Application Experiences

Talent Space · Posted Nov 4, 2026

Open

Palo Alto, California, United States
Senior
8+ years

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Lead Full Stack Engineer responsible for architecture, roadmap, and delivery of AI-powered applications on the platform.

Responsibilities

Own application architecture, technical roadmap, and end-to-end delivery from prototype to production.
Lead development of responsive, intuitive web applications that integrate AI capabilities into business workflows.
Design and implement frontend and backend application patterns, API integrations, and reusable components.
Deliver reliable AI-powered experiences, including streaming responses, long-running workflows, and human review processes.
Establish engineering standards for code quality, testing, performance, and application reliability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Skills

TypeScript JavaScript frontend frameworks REST APIs backend integrations asynchronous services

Consultant (Analyst) | Ukraine Public

Civitta · Posted Nov 5, 2026

Open

Ukraine
€1K–€2K per month
0+ years

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Support Ukraine’s transformation by providing analytical research, data processing, and evidence-based insights for EU integration, reforms, and regional development projects.

Compensation

For the Consultant position in Ukraine, it is 1300-1800 EUR CTC (cost to company, before tax deduction).

Responsibilities

Research anything, anywhere
Consolidate findings into clean formats
Verify accuracy of reports
Build presentation materials
Work confidently with data and analytical tools

Requirements

Economics background
Nice to have: Dashboards
Nice to have: Advanced data analysis
Nice to have: Healthcare and social policy exposure

Skills

Excel PowerPoint AI-powered applications Python SQL

Benefits

Professional Growth
Bonus
Flexible Working Hours
Culture & Connection
International Offsite Trips

AI / Full-Stack Engineer

QualityAI · Posted Nov 4, 2026

Open

Santa Clara, California, United States +2 more
Hybrid
Full-time · Mid
$200K–$250K per year

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Hands-on technical role focused on building applied AI and agentic workflows, taking ideas from concept to production.

Locations (3)

Santa Clara, California, United States
San Francisco, California, United States
New York City, New York, United States

Compensation

the salary range for the role is $200,000 - $250,000.

Responsibilities

Analyze program structures and execute migrations into Buganizer data models using automated, scripted, or agentic approaches.
Act as embedded builders bridging the gap between advanced agentic products and production-grade solutions.
Coding, debugging, and shipping bespoke AI tools to boost xFN productivity.
Partner closely with cross-functional teams and translate requirements into production-grade reality.

Solution Architect - Apps & AI

Microsoft · Posted Nov 4, 2026

Open

Thailand
6+ years

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Lead solution envisioning and shaping, define solution architecture, architect application modernization and AI-powered applications, guide production delivery, provide technical thought leadership.

Responsibilities

Lead solution envisioning and shaping
Define solution architecture
Architect application modernization
Architect AI-powered applications
Architect Agentic AI solutions

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field
Nice to have: Azure Solutions Architect
Nice to have: Azure Developer
Nice to have: Azure AI Engineer
Nice to have: DevOps Engineer

Skills

modern application architecture patterns APIs microservices containers serverless integration event-driven architecture

Senior Software Engineer

Direct Supply · Posted Oct 14, 2026

Open

Milwaukee, Wisconsin, United States
Senior
3+ years

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Senior Software Engineer

Responsibilities

Lead the design and development of scalable, AI-enhanced software solutions
Architect secure, high-performing applications and services
Integrate AI capabilities including large language models, conversational assistants, image-based diagnostics, and automated content generation
Advance the use of AI-powered development tools and automation frameworks
Design and optimize APIs, microservices, and integrations

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field
Nice to have: open-source AI projects
Nice to have: AI research
Nice to have: conferences
Nice to have: AI-powered user interface development

Skills

software development AI-powered applications large language models Hugging Face OpenAI Anthropic

Emerging Technology & Leadership Program

Incture Technologies · Posted Nov 4, 2026

Open

New Jersey, United States +1 more
2–5 years

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Develop expertise in enterprise technologies and engineering practices, work on real‑world business and technology challenges, and progress toward technical leadership opportunities.

Locations (2)

New Jersey, United States
Missouri, United States

Responsibilities

Develop expertise in enterprise technologies and engineering practices
Work on real‑world business and technology challenges
Explore AI, emerging technologies, and innovation initiatives
Take increasing ownership of technical deliverables, customer interactions, and solution development
Progress toward technical leadership opportunities based on performance and readiness

Requirements

Master's degree in Computer Science, Data Science, AI, Software Engineering, Information Systems or related fields

Skills

Python

Product Owner

Bank of America - MSP · Posted Nov 3, 2026

Open

New York, New York, United States
Contract
$57–$65 per hour

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Lead tenant adoption, onboarding, and release-readiness for an AI platform within a global financial institution.

Compensation

Pay range: $57.30 - $65.30 per hour

Responsibilities

Lead tenant adoption, onboarding, and release-readiness activities for the AI platform
Manage the use case release pipeline and coordinate cross-functional partners
Oversee tenant communications and enablement
Track adoption and deployment progress
Prepare executive-ready updates highlighting key milestones, risks, dependencies, and decisions

Requirements

Nice to have: Experience supporting the delivery of Generative AI solutions in an enterprise environment
Nice to have: Familiarity with AI-powered applications that leverage enterprise data, knowledge repositories, or intelligent search capabilities
Nice to have: Understanding of prompt configuration, AI governance, responsible AI, and risk management
Nice to have: Exposure to AI controls, guardrails, or other mechanisms used to support safe and effective AI adoption
Nice to have: Familiarity with emerging AI capabilities such as workflow automation, AI assistants, and agent-based solutions

Skills

Managing cross-functional programs