Agent Job at EKFB (Brackley)

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

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional development opportunities
Broad access to professional trainings including language courses, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card
Non-working day on the 31st of December

Fulltime

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Agentic AI Engineer

AI Engineer – Python | Azure Foundry | Agentic AI. The work sits at the intersec...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong Python engineering skills
Hands-on experience with Azure Foundry
Practical expertise in Agentic AI workflows
Solid grounding in modern AI/ML engineering practices
Design, deploy, and maintain production-grade AI solutions
Candidates must be eligible to work in the UK without sponsorship

Job Responsibility

Designing and implementing agentic AI workflows
Building Python-based automation and intelligence layers
Contributing to a broader Azure Foundry-based AI platform

Agent Success Associate

The Agent Success team is working to provide estate agents a positive customer e...

Location

United Kingdom , London

Salary:

32000.00 GBP / Year

GetAgent

Expiration Date

Until further notice

Requirements

Comfortable conducting phone calls and building rapport over the phone
Good email communication skills (well-written, good punctuation etc.)
Empathetic listener with a solution/resolution focus
Resilience
Diligent with keeping on top of administrative tasks and following processes correctly
Ability to gather necessary information and context to support with decision making - presenting cases in a logical manner
Positive attitude, proactive in sharing the team workload
Effective management of workload across different workflows, efficient and getting through volume of cases

Job Responsibility

Dealing with escalated issues / disputes with estate agents over the phone, making account management decisions
Contacting de-registered agents, asking for their feedback
attempting to resolve the situation and bring them back to the service
Contacting ‘at risk’ agents attempting to resolve any outstanding issues and maintain the relationship
Assessing agents level of interaction with the service, identifying and communicating areas for improvement to maximise the value for both GetAgent and our partners
Responding to escalated email tickets
Conducting onboarding calls with new estate agents
Presenting cases to senior team members as required to support with decision-making
Taking part in various projects and events, with a focus on raising the profile of the GetAgent throughout the Estate Agent community

What we offer

Private Medical Cover
L&D Allowance
Wellbeing Allowance
Perks at Work
Hybrid Working (3 days in the office, 2 WFH)
+ Various opt In schemes
Holiday: 25 days + BH

Fulltime

Employers Agent

An established multi-disciplinary construction consultancy is currently seeking ...

Location

United Kingdom , Bristol

Salary:

40000.00 - 50000.00 GBP / Month

Brandon James

Expiration Date

Until further notice

Requirements

Minimum of 5 years’ experience in a similar Employer’s Agent or Project Management role
Degree qualified in Quantity Surveying, Construction Management or a related discipline
Strong working knowledge of JCT/NEC contracts, construction processes and procurement routes
Demonstrable experience delivering residential and mixed-use schemes, ideally including RSLs
Excellent communication, negotiation and client liaison skills
Able to manage budgets, timelines and teams efficiently across multiple projects
Understanding of UK building regulations, health & safety, and quality assurance processes
Chartered status (MRICS/MCIOB) is desirable, though candidates working towards this will also be considered

Job Responsibility

Manage the end-to-end delivery of construction projects, acting as the key point of contact for clients
Administer JCT and NEC contracts including tender documentation and contract negotiation
Undertake cost management duties, ensuring value for money and budget compliance
Conduct feasibility studies, prepare cost plans and advise on procurement strategies
Oversee project quality standards, risk mitigation and compliance with industry regulations
Lead stakeholder coordination, chair progress meetings, and provide regular project reporting
Work closely with architects, engineers, contractors and client representatives throughout the project lifecycle

What we offer

25 Days holiday + Bank holidays
APC Programme
Health insurance
Hybrid working
Generous Pension Plan
Life assurance
Mobile and Laptop
Car allowance
Regular socials
Cycle to work scheme

Fulltime

Ag Insurance Agent

Our client is looking for driven insurance professionals looking for an opportun...

Location

United States , North Dakota

Salary:

Not provided

Adams, Inc.

Expiration Date

Until further notice

Requirements

Driven insurance professional
Experience as an insurance agent with an existing book OR experience as an Ag lender looking to transition into crop insurance

Job Responsibility

Become a trusted one-stop shop for farmers’ insurance needs
Build your book and possible agency

What we offer

Unlimited earning potential
Flexibility to work from various locations
Strong referral relationships
Incredible growth potential
High-impact role with autonomy
Strong incentives
Backing of a respected name in the industry

Fulltime

Senior Agentic AI Developer

Build production-grade autonomous agents and orchestration systems that reshape ...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering
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

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

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Agent

EKFB

Location:
United Kingdom , Brackley

Category:
Construction

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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