Senior Agentic AI Developer Job at GoFundMe (Buenos Aires)

Senior Agentic AI Developer

A high-growth, technology-led scale-up (backed by a global leading organisation)...

Location

United Kingdom , Leeds / Bradford

Salary:

90000.00 - 110000.00 GBP / Year

Lawrence Harvey

Expiration Date

Until further notice

Requirements

Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure
Hands-on Python development experience delivering production-grade systems
Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks)
Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval)
Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration

Job Responsibility

Lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms
Take ownership of solutions end-to-end — from design and architecture, through development and deployment, to optimisation and continuous improvement
Work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices

What we offer

15% Bonus
Excellent Benefits

Fulltime

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

Senior Software Engineer (AI / Agentic Developer Productivity)

Are you a Software Engineer already at the forefront of agentic AI development —...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Job Responsibility

Own and deliver complete features across the development lifecycle, including design, architecture, implementation, testability, debugging, shipping, and servicing
Use AI in your daily coding and advocate to the team and customers an evolving state-of-the-art of how best to do this
Demonstrate resiliency to experiment and try multiple AI approaches that may not work — because no one has tried them before
Provide mentorship and coaching to engineers in, and beyond, your team
Write and review clean, well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability, and maintainability
Contribute positively to a culture where everyone can bring their full and authentic self and where we do our best work as a result

Fulltime

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Strong programming skills in Python
Experience working with large datasets and distributed data platforms
Familiarity with Databricks or similar modern data platforms
Experience building production-grade AI systems (not just POCs)
Strong understanding of prompt engineering and LLM optimization techniques

Job Responsibility

Design and build agentic AI systems leveraging large language models (LLMs)
Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
Translate business problems into production-ready AI workflows and applications
Collaborate with product and architecture teams to define AI use cases and technical approaches
Implement and optimize: Prompt engineering strategies
Token usage and cost efficiency
Model performance and response quality
Work with large-scale datasets to support training, fine-tuning, and inference workflows
Contribute to the development of AI engineering standards, frameworks, and best practices
Partner with data science teams to integrate models into production environments

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Senior AI Scientist (Agentic AI)

We are on a lookout for a hands-on Senior AI Scientist (Agentic AI) to join the ...

Location

Germany , Berlin

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

2+ years of experience in applied AI/ML engineering with real-world deployments
Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack
Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
You take ownership
You move fast but don't cut corners
You believe working code beats perfect plans

Job Responsibility

Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks
Build and optimize RAG pipelines
Design self-evolving prompt systems and dynamic decision flows driven by LLMs
Develop APIs and services that let models talk to tools, data, and other systems
Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents
Work cross-functionally with product and engineering teams to ship AI-native features

What we offer

Hybrid working model with 2 days per week in Berlin campus
27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation
Gym & Bicycle Subsidy
Employee Share Purchase Plan

Fulltime

Senior Ai Engineer (Agentic & Generative Ai)

We are seeking a Senior AI Engineer to design and deploy Agentic and Generative ...

Location

Malaysia , Kuala Lumpur

Salary:

8000.00 - 12000.00 RM / Month

Randstad

Expiration Date

July 06, 2026

Requirements

Mastery of Python
Professional proficiency in LangChain for orchestration and PyTorch for model development/fine-tuning
Expert-level prompt engineering and experience in refining LLM performance for enterprise applications
Proven experience deploying scalable AI solutions on cloud platforms, specifically Azure or AWS
Strong understanding of feature engineering, data management, and automated visualization techniques

Job Responsibility

Develop and optimize RAG pipelines and multi-agent systems to facilitate autonomous decision-making and collaboration
Utilize Model Context Protocol (MCP) and Python to integrate AI models with external systems and Master Data Management (MDM) platforms
Build and maintain CI/CD pipelines via Azure AI Foundry for model training, testing, and real-time performance monitoring
Collaborate with stakeholders to translate business requirements into technical AI use cases, including automated visual inspection and financial reporting
Ensure all solutions adhere to enterprise standards for security, data privacy, and Ethical AI

What we offer

Hybrid working arrangements

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Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Senior AI Engineer I - Agentic AI

As a Senior AI Engineer II – Agentic AI, you will be a core builder responsible ...

Location

India , Bengaluru Urban; CHENNAI

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems
A track record of shipping AI-powered or agentic systems that real users depend on
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
Hands-on experience with modern LLM tooling and agentic patterns and architectures
Fluency with AI-assisted and agentic development workflows
Strong sense of ownership and sound technical judgment
Comfort operating with ambiguity and turning it into shipped reliable product
A strong product mindset and customer orientation

Job Responsibility

Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure
Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety
Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology
Own the systems you build in production, including reliability, latency, cost, and failure modes
Work closely with product and design partners
engineers in this role are expected to think in terms of customer outcomes, not just technical execution

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

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Senior Agentic AI Developer

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