{"id":160178,"url":"https://alion.io/job/faktion-generative-ai-lead-engineer","title":"Generative AI Lead Engineer","company":{"id":54451,"name":"Faktion","domain":"faktion.com","url":"https://alion.io/company/faktion","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"D","score":52,"open_postings":15,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Antwerp, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":213000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1119},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Embeddings","optional":true},{"name":"GitHub","optional":true},{"name":"Hugging Face","optional":true},{"name":"Machine Learning","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scrum","optional":true},{"name":"Sentiment Analysis","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transfer Learning","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2025-05-09T14:41:41Z","employer_posted_date":"2025-05-09","last_verified_at":"2026-10-17T01:33:27Z","board_verified":true,"closed_at":null,"days_open":525,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":525},"description":"As a GenAI Lead Engineer, you will lead our engineering initiatives to drive transformative advancements across multiple industries, including Multi-Agent AI / Generative AI Applications, Retrieval-Augmented Generation (RAG) technologies, voice AI assistants, and advanced language processing applications.\nYou'll be responsible for leading technical initiatives, mentoring team members, and driving innovation in applications that require sophisticated language understanding and realistic outputs. You will oversee our proprietary 'Evaluation-Driven Development' processes across all AI Projects\nWe're looking for a passionate, experienced GenAI Lead Engineer to guide our talented AI engineering team, empowering them to deliver robust, scalable, and impactful AI solutions for our customers.\nSome key responsibilities:\nLeading the design, implementation, and enhancement of NLP and generative/agentic AI models, using various SOTA frameworks and tools\n\nDefining and developing proprietary integrations with existing third-party solutions to provide best-in-class generative AI capabilities tailored specifically to our customers' needs.\n\nCollaborating strategically with cross-functional teams, including the Head of AI, AI Engineers, Full-Stack Developers, and Product Managers, to define clear AI project requirements and objectives, and ensure alignment with business goals.\n\nConducting proactive research to stay at the forefront of NLP and generative/agentic AI advancements, continuously identifying opportunities to integrate cutting-edge techniques into Faktion’s offerings.\n\nOptimising and scaling NLP and generative AI systems to achieve superior performance, efficiency, and operational reliability.\n\nOverseeing the development and maintenance of robust MLOps pipelines, encompassing data preprocessing, model training, fine-tuning, evaluation, deployment, and monitoring.\n\nBuilding and managing containerised AI back-end services using technologies such as Docker and FastAPI.\n\nCreating and maintaining high-quality documentation, including technical specifications, user manuals, and presentations to effectively communicate complex AI solutions to technical and business stakeholders.\n\nEstablishing, enforcing, and continuously evolving best practices, standards, and procedures within the NLP and generative AI engineering team.\n\nProviding technical mentorship, guidance, and leadership to engineers and junior team members, fostering professional growth and technical excellence.\n\nRequirements\nExcellent written and verbal communication skills in native Dutch and English (French is a plus).\n\nAdvanced degree (Master's or PhD) in Computer Science, Natural Language Processing, Artificial Intelligence, Machine Learning, or a related field.\n\n5+ years of experience with implementing NLP and generative AI models, with deep expertise in transformer architectures, language models, and embeddings.\n\nDemonstrated leadership experience in technical AI/ML projects, including team mentoring and project management.\n\nExpert-level proficiency in Python and extensive experience with machine learning libraries (PyTorch, TensorFlow, Hugging Face transformers). Experience in Typescript is a plus\n\nStrong understanding of natural language processing techniques, including text classification, named entity recognition, sentiment analysis, and language generation.\n\nProven experience with large language model fine-tuning, prompt engineering, and evaluation methodologies.\n\nSolid knowledge of data structures, algorithms, and software engineering principles.\n\nExperience with cloud-based platforms and services such as Azure, with a focus on scalable AI solutions.\n\nFamiliarity with software development methodologies such as Agile or Scrum.\n\nExceptional problem-solving skills with the ability to think critically and creatively to develop innovative AI solutions.\n\nStrong communication and presentation skills with the ability to effectively convey complex technical concepts to diverse audiences.\n\nThe following experiences are a plus:\nOpen-source contributions to Generative AI or NLP projects\n\nActive GitHub repositories demonstrating advanced NLP implementations or prior engagements in relevant Kaggle competitions\n\nProven track record of designing and deploying scalable language models in production environments\n\nPublications in relevant NLP/AI/ML conferences and journals (ACL, EMNLP, NeurIPS, ICML, etc.)\n\nExperience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance\n\nKnowledge of multilingual NLP and cross-lingual transfer learning\n\nWe offer:\nA rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalisation, group insurance, and a top-tier laptop and smartphone\n\nA company culture that stimulates both individual and team development, fostering professional growth and leadership opportunities\n\nRegular team-building activities and gatherings, which provide great opportunities to unwind and engage with our vibrant team initiatives\n\nA flexible hybrid working policy to choose where, how, and when you want to work\n\nOpportunities to represent Faktion at industry conferences and events: you'll be the face of Faktion's GenAI Engineering initiatives\n\nAt Faktion we build AI, and we use it thoughtfully in our own processes too. During your application, AI tools may help us with practical steps, like checking that your documents came through complete. They never decide who moves forward: every application is read by a real person on our team, and every decision is made by a human. Curious how this works, or how your data is handled? 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