Agentic & Generative Edge AI Optimization Engineer · Hybrid

Location:

Region: Munich
Country: Germany

Role:

  • Industry: Engineering, Technology
  • Job Type: Contract / Freelance
Working Arrangement: On-site
Rate: Negotiable

Application Details:

Start Date: ASAP
Expiry Date: 28/02/2026
Job Reference: 1812202516

Agentic & Generative Edge AI Optimization Engineer · Hybrid

Job title – Agentic & Generative Edge AI Optimization Engineer

Location – Munich or Hamburg

Site expectation – 3x onsite per week

Contract – 12 months

Rate – Open to rate expectations, happy to discuss

 

Required:

  • 5+ years of experience with software/AI engineers + deep exposure to LLMs, VLMs or systems performance.
  • LLM Quantization techniques.
  • Proficiency with AI frameworks (PyTorch, TensorFlow) and agentic frameworks (LangChain, Google ADK etc.)
  • Knowledge of AI toolchains (CUDA, TensorRT, TFLite etc).
  • Strong embedded background and NPU accelerators, including software architecture, build systems and version control.
  • Familiarity with build systems (YOCTO, OpenEmbedded)
  • Solid programming experience with C, C++, Python, Bash.
  • Excellent communication skills in English.

 

What You’ll Do

  • Optimize LLMs and multimodal models for on-device deployment
  • Apply advanced quantization (8-bit, 4-bit, mixed precision), pruning, and distillation techniques for optimized models on NPU targets.
  • Accelerate inference performance
  • Implement system optimizations such as speculative decoding and efficient algorithms tailored for edge environments.
  • Engineer agentic AI capabilities for tiny agents
  • Enhance small language models for edge deployment while ensuring safety principles.
  • Work with inference engines and deployment frameworks
  • Deploy optimized models using Ollama, llama.cpp, ONNX Runtime, and TFLite for efficient NPU inference.
  • Benchmark LLMs and agentic systems
  • Design benchmarking pipelines for Generative and Agentic AI systems on-device.
  • Develop demonstrators and proof-of-concepts
  • Build PoCs for industrial safety monitoring, in-cabin sensing, and other edge AI applications.
  • Move key technologies from research into product solutions
  • Translate advanced optimization techniques and agentic AI features into production-ready implementations and collaborate with product teams.

 

If this role is of interest to you, submit your CV below.

 

g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.

Apply Now

This field is hidden when viewing the form
Name
Max. file size: 128 MB.

L&D Team

We are very lucky that g2 recruitment see Learning and Development as a vital part of a consultants journey which is why we have 4 people in the team who you will work very closely with from day 1 in your career. The team are on hand to guide you through your career at all levels and provide extra support working closely with the management team to give all consultants the best chance of success.  

Our Three Pillars of Training

Academy:
Week 1 is a series of remote sessions to learn all things systems, followed by a 1 week academy process which is a mixture of classroom and deskside this will be in one of our UK offices and usually consists of 3-8 other consultants all starting their journey together.

Experienced Modules:
These are a variety of sessions curated by us designed to support consultants as they are progressing through the career ladder, the aim is to ensure consultants at all levels have access to L&D.

Junior Management Programme:
Ran by our head of L&D this programme is designed to support junior managers as they start their management career. This involves things like personal branding, time management and ends in a business plan which is presented to members of the Exec board and senior management team.

Jaz123
Jaz D’Avola
Head of Learning & Development

Jaz joined g2 Recruitment in 2013.

She now leads our Learning and Development programme, transferring the knowledge and wisdom she learnt as a recruiter to the new generation of talent.

Imani
Imani WIlliams
Learning and Development Consultant

Imani joined g2 Recruitment in 2022.

His role involves developing individuals in all areas of the business, varying from inducting and onboarding consultants to working with them 1 to 1 to identify areas of development.  He aids with growth of L&D across the business, watching consultants experience and develop.

Meghan1
Meghan Mcloughlin
Learning and Development Consultant

Meghan joined g2 in 2023 as an L&D consultant, Working in recruitment for 6 years, her role is to  help consultants at all levels to upskill and focus on development points. This could be anything from sales calls or candidate calls to organisation improvements.

Kane Gray
Systems & Academy Trainer

Kane joined g2 in April 2023 as an Academy & Systems Trainer.

His role involves teaching the consultants that are new to the company the foundations of recruitment and our systems before then helping them to upskill in areas specific to each consultant. Working closely with different consultants and watching them implement the feedback, apply it, and then benefit off the back of it.

Candidates

Get started with your job search today and take the next step in your career.

This field is hidden when viewing the form
Name
Max. file size: 128 MB.

Clients

Looking to hire? Work with one of our expert recruitment consultants to find the talent your business needs.

This field is hidden when viewing the form
Name
Max. file size: 128 MB.