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Senior AI Engineer (f/m/d)

extra holidays - extra parental leave - fully flexible - 4 day week
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

7 years of software engineering experience, 5 years specializing in Python development, Strong grasp of LLMs and RAG, Experience with LangChain is a plus.

Key responsabilities:

  • Design, develop, and deploy AI models
  • Collaborate with product and design teams
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Awin Madtech: Marketing + Advertising + Technology Large https://awin.link/LinkedIn
1001 - 5000 Employees
HQ: Berlin
See more Awin offers

Job description

Purpose of Position

We are seeking a Senior AI Engineer to join our growing AI team with a mission to design, develop, and deploy AI models that drive our conversational applications. The role will focus on leveraging advanced AI technologies, specifically in Large Language Models (LLMs), to create scalable and impactful solutions that enhance our products.

Key Tasks & Responsibilities

  • Design, Develop, and Deploy AI Models: Focus on creating and deploying AI models for conversational applications, leveraging advanced LLM (Large Language Model) techniques.
  • Collaborate with Product and Design Teams: Work closely with cross-functional teams to understand requirements and translate them into AI-driven solutions.
  • End-to-End Model Development: Lead the entire lifecycle of model development, including prototyping, training, fine-tuning, and deploying models into production environments.
  • API Development and Integration: Develop and integrate APIs using frameworks like FastAPI, Django, or Flask to facilitate AI functionalities within larger systems.
  • Utilize Advanced AI Tools: Work with embedding models, vector databases, and prompt engineering to enhance the performance and capabilities of conversational AI.
  • Continuous Evaluation and Improvement: Evaluate LLM and RAG (Retrieval-Augmented Generation) implementations and iterate on these to boost system performance, accuracy, and efficiency.
  • Problem-Solving and Collaboration: Engage with other engineers and stakeholders to solve complex challenges and bring high-quality AI-driven features to users.
  • Stay Current with AI Trends: Keep abreast of the latest AI and ML trends, and proactively suggest improvements or innovative solutions that can be applied.
  • Mentor Junior Team Members: Help guide junior engineers by sharing knowledge, providing constructive feedback, and fostering a supportive team environment.

Skills & Expertise

Required:

  • At least 7 years experience as a Software Engineer, 5 of them working with Python.
  • Proficiency in Python and experience building large and scalable Python applications.
  • Strong understanding of LLMs, Retrieval-Augmented Generation (RAG), embedding models, vector databases, and prompt engineering.
  • Experience with LangChain and developing LLM-based applications.
  • Excellent verbal and written communication skills—able to explain complex technical concepts in a clear and approachable manner.
  • Strong sense of ownership and accountability for the work produced.
  • Team player—eager to collaborate, listen, and contribute actively to team success.
  • Problem-solving mindset—willing to tackle complex challenges with creativity and perseverance.
  • Fluent in both written and spoken English.

Nice to have:

  • Experience with LLM and RAG evaluation using Langsmith.
  • Experience with LangGraph framework and agents in general.
  • Familiarity with chatbot development.
  • Experience with MLOps.
  • Experience with other programming languages and containerization tools.
  • Knowledge of fine-tuning, reinforcement learning, and data augmentation techniques.
  • Familiarity with cloud platforms, CI/CD, and system design.
  • Previous experience in a startup or fast-paced environment.
  • Enthusiasm for staying up-to-date with the latest developments in AI and tech.
  • Leadership experience or skills—comfortable taking initiative and driving smaller projects.

Our Offer

  • Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
  • Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
  • Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Accountability

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