Ai-Native Full Stack Developer Job at Panteon (Ankara)

Senior AI-Native Developer

We are seeking New Generation of Developers—one who views AI as their primary co...

Location

Salary:

Not provided

Thoth AI

Expiration Date

Until further notice

Requirements

5+ years of Full-stack or Backend experience
Expert proficiency in at least two languages (Python and TypeScript preferred)
AI Training/Labeling Experience (Crucial Advantage): Direct experience with data annotation platforms
Experience as a Code Evaluator or Reviewer, with a deep understanding of common model failure modes across different programming languages
Tooling Geek: A heavy user of Cursor/Claude who is highly sensitive to LLM iterations and understands Agentic Workflow concepts (e.g., LangGraph, CrewAI)
Analytical Mindset: Exceptional ability to decompose complex business requirements into precise, model-interpretable instructions

Job Responsibility

AI-Augmented Development: Masterfully utilize AI coding assistants (Cursor, GitHub Copilot, Windsurf, Claude Code) to achieve hyper-efficient feature delivery and refactoring
Model Capability Testing: Participate in advanced AI Coding Benchmarks, identifying logical pitfalls (hallucinations) in model-generated code and providing high-quality RLHF (Reinforcement Learning from Human Feedback) corrections
Vibe Coding Practice: Explore and optimize natural language-driven development flows. Refine prompt strategies to increase AI accuracy in complex business logic scenarios
Architecture & Review: Act as the human "gatekeeper" for large-scale AI-generated codebases, ensuring industrial-grade standards in security, scalability, and performance

Senior/Staff Full Stack Developer

We’re hiring a Founding Product Engineer at TitleTouch. TitleTouch is building t...

Location

Salary:

100000.00 USD / Year

Vue

Expiration Date

Until further notice

Requirements

Think in product outcomes, not just tickets
Can own ambiguous features from customer pain to polished UI to reliable backend systems
Are strong with full-stack TypeScript
Care about UX details, data modeling, reliability, auditability, and speed
Want to build financial infrastructure in a real-world industry with obvious pain and massive transaction volume
Are excited by money movement, reconciliation, fraud reduction, and workflow automation
Already use AI tools deeply and want to push what AI-native software development can look like
Like working on hard business problems where better software directly saves time, reduces risk, and unlocks new revenue
Have at least 5 years of experience

Job Responsibility

Build the money movement and closing operations layer for modern title companies
Help title teams securely collect earnest money deposits, manage closing communication, and reconcile payments through purpose-built workflows backed by Modern Treasury virtual accounts
Work across Nuxt/Vue, TypeScript, Cloudflare, Inngest, AI-native workflows, document intelligence, secure client portals, accounting workflows, payment infrastructure, virtual accounts, reconciliation systems, and the operational tooling title processors use every day

What we offer

Equity

Full Stack Engineer with AI experience

We’re looking for a Full Stack Software Engineer with AI experience to help buil...

Location

United States

Salary:

140000.00 - 180000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

Full stack engineer with 3+ years of experience building complex web applications
Comfortable owning backend systems and APIs, while collaborating closely on frontend experiences
Experienced integrating AI / LLM-powered systems into real products
Curious, adaptable, and energized by working in fast-moving, ambiguous environments
A collaborative partner to product managers, designers, and other engineers
Strong experience with TypeScript across frontend and backend (Node.js)
Experience building and operating backend services, APIs, and data pipelines
Hands-on experience working with AI / LLMs (e.g., ChatGPT, Claude) in production systems
Familiarity with modern frontend frameworks such as Next.js
Experience with testing, observability, and maintaining production systems

Job Responsibility

Develop AI-native workflows
Build and integrate AI and LLM-powered systems for extracting, structuring, and reasoning over complex benefits data
Own backend and data-heavy systems
Design scalable services, data models, and pipelines that support accuracy, performance, and long-term maintainability
Build end-to-end product systems
Design, implement, and ship features across backend services, APIs, data layers, and frontend integrations that power Pasito’s platform
Collaborate cross-functionally
Work closely with Product, Design, Sales, and Client teams to understand customer workflows and translate them into durable technical solutions
Continuously improve systems
Refine existing architecture, reduce operational complexity, and help define what “great” looks like as the platform scales

What we offer

Meaningful ownership
Real impact
Growth
Competitive compensation: Salary, meaningful equity, and full benefits: medical, dental, vision, 401(k) with match, life insurance, and flexible PTO
Remote‑first: Work from anywhere in the U.S. with a highly collaborative team

Fulltime

Full-stack Engineer – Internal AI Platform

You will engineer the core of our proprietary internal platform that democratize...

Location

Spain , Madrid; Valencia

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

Deep expertise in TypeScript, Node.js, Express, React, Next.js, and SQL
Practical knowledge of Docker, Kubernetes, and Linux environments
Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
Proven track record of shipping software to production

Job Responsibility

Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
Engineer Chain of Thought reasoning flows and integration layers that power agent logic
Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
Design node-based tools for intent retrieval, context management, and API routing
Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
Maintain a high bar for software quality and reliability while innovating at speed
Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Fulltime

Full Stack Product Engineer (AI), Search

Build AI-fueled products for VC on a tight-knit, fast-paced team working across ...

Location

United States , New York

Salary:

160000.00 - 210000.00 USD / Year

Harmonic

Expiration Date

Until further notice

Requirements

3–5 years of software engineering experience
Substantial exposure to full-stack development in Python and React
A love for keeping up with the latest AI/LLM models, new frameworks, and experimenting with AI-native tools
Strong problem-solving skills
A track record of driving product development initiatives in fast-paced environments
Top-tier product taste, unrelenting curiosity, and customer-obsession

Job Responsibility

Build and ship end-to-end AI capabilities – from core features in our LangGraph backend, to critical user journeys in the frontend React UI
Be hands on rapidly prototyping, benchmarking, and tuning usage of LLM models and agentic architectures
Establish and build new evaluation frameworks
Partner with human (+ LLM) evaluators to constantly improve user outcomes for AI-driven experiences
Collaborate with product, design, data, and go-to-market teams to design and build AI-first product experiences that make investors 10x more productive

What we offer

Top of the line health, dental and vision insurance, with 100% premium covered
401k matching
Free lunch in office
Monthly team dinner for each office
Commuter benefits

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance

Fulltime

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Senior Lead - Java Full Stack - Senior Vice Presient

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Select Country

Ai-Native Full Stack Developer

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?