AI Developer

EFSORA; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A fast-growing AI-focused software company is seeking an AI Developer with expertise in Large Language Models. In this role, you will design, develop, and deploy advanced AI solutions. The ideal candidate has over 3 years of experience in AI/ML, strong programming skills in Python, and knowledge of agentic systems. This position offers opportunities for growth and collaboration on cutting-edge projects.

Qualifications

• 3+ years of experience in developing and deploying AI/ML models.
• Deep practical experience with Large Language Models.
• Strong proficiency in Python and relevant AI/ML/NLP libraries.

Responsibilities

• Lead the design and implementation of intelligent AI systems.
• Collaborate with product managers to translate business requirements.
• Deploy and maintain complex LLM-based applications.

Skills

NLP/NLG

Python

Problem-Solving

Collaboration

Tools

Hugging Face Transformers

PyTorch

TensorFlow

Job description

Job Title:AI Developer

Level: Mid & Senior

Location:Urla, Izmir

Type: On-site

About Efsora

We are a fast-growing software and AI development company that partners with innovative enterprises and scaleups to deliver large, cutting-edge R&D projects.

Our teams work as extensions of our clients’ internal R&D, combining advanced technology expertise, AI-centric engineering, and agile development to build impactful solutions.

We focus on augmenting our clients’ R&D capabilities, accelerating innovation, and managing technical risks from early-stage prototyping to full-scale deployment.

As part of our team, you’ll work on exciting, high-stakes projects that shape the future of industries, collaborate with top-tier talent, and grow your skills at the frontier of AI and software development.

The Opportunity

We are seeking a talented and experiencedAI Developerwith a strong focus onLLMsandagentic architecturesto join our team.

You will play a pivotal role in designing, developing, and deploying cutting-edge, goal-oriented AI solutions that will enable automated problem-solving, create adaptive user experiences, and drive autonomous operational efficiency — to name just a few key use cases.

What You'll Do

• Lead the design and implementation of agentic architectures and autonomous AI systems leveraging Large Language Models (LLMs) as core reasoning and interaction components.
• Develop strategies for LLM-powered planning, memory management, tool integration, and multi-step reasoning.
• Architect and build robust orchestration layers that enable LLMs to interact with external APIs, databases, and other systems to achieve complex goals.
• Design, develop, and maintain backend services and APIs that power our AI applications, ensuring scalability, performance, and security.
• Design and implement specialized techniques for prompt engineering, few-shot learning, in-context learning, and fine-tuning to optimize LLM performance within agentic workflows.
• Develop robust evaluation metrics and methodologies for agent performance, focusing on task completion, efficiency, robustness, and failure modes.
• Collaborate closely with product managers and other AI & software developers to understand complex business requirements and translate them into practical, autonomous AI solutions.
• Deploy and maintain sophisticated LLM-based agentic applications in production environments, ensuring their reliability, efficiency, and continuous improvement, including monitoring, cost optimization, and safety mechanisms.
• Stay up-to-date with the latest advancements in LLM research, NLP, AI agents, reinforcement learning, and MLOps, bringing new ideas and approaches to the team.
• Participate in code reviews, technical discussions, and contribute to the overall architecture and design of our intelligent agent systems.

What We're Looking For:

Experience:

• 3+ years of professional experience in developing and deploying AI/ML models, with a significant portion focused on NLP/NLG and demonstrable experience with agentic systems.

LLM Proficiency:

• Deep practical experience with Large Language Models, including:
• Advanced use and fine-tuning of models from libraries like Hugging Face Transformers
• Extensive experience with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini)
• Expertise in prompt engineering, few-shot learning, and in-context learning

Agentic System Design:

• Experience in designing and implementing agentic architectures, including concepts like:
• Planning and reasoning loops
• Memory management (short-term and long-term)
• Tool/function calling and integration
• Multi-agent systems

Programming:

• Strong proficiency in Python and relevant AI/ML/NLP libraries (e.g., PyTorch, TensorFlow, Keras, spaCy, NLTK)

Problem-Solving:

• Exceptional analytical and problem-solving skills, with the ability to architect and debug complex, interdependent AI systems

Collaboration:

• Strong communication and collaboration skills, with the ability to lead technical discussions and work effectively in a team environment

Bonus Points If You Have

• Direct experience with agent orchestration frameworks (e.g., LangGraph, LlamaIndex, AutoGen)
• Understanding of Reinforcement Learning from Human Feedback (RLHF) and its applications in agentic training
• Experience with control flow and state management in complex AI systems
• Experience with Model Context Protocol (MCP)
• Experience with Streamlit, Gradio, or Dash for rapid prototyping and deployment of AI/ML demos and applications
• MLOps experience, especially in deploying and monitoring complex, stateful agentic systems in production on cloud platforms (AWS, Azure, GCP), including containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines for full-stack deployments
• Contributions to open-source projects or a strong GitHub profile
• Experience in a startup or fast-paced environment