We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy. Key Responsibilities * Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data. * Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management. * Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment. * Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices. * Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization. * Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture. * Own the performance, reliability, cost optimization, and observability of AI systems in production. * Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team. * Proactively identify high-impact opportunities where AI can generate measurable business value.
What you will do: * 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering. * Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments. * Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases. * Solid knowledge of Python for ML experimentation, training pipelines, and prototyping. * Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production. * Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen. * Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS. * Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders. * Track record of leading complex technical initiatives from design to production deployment. * Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.
Nice to have: * Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service). * Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines. * Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra. * Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads. * Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale. * Experience with platform modernization or large-scale migration projects in enterprise environments. * Experience mentoring engineers or leading technical guilds and working groups. * Contributions to open-source AI/ML projects or published research.
Why join Empeek? * A high-impact role leading AI transformation within an established enterprise platform. * A collaborative, experienced engineering team with a strong focus on modernization. * Significant autonomy and influence over technical direction. * Access to cutting-edge tools, models, and cloud infrastructure. * Competitive compensation package (discussed during the interview process). * Opportunities for professional development and continuous learning.
What we offer: * Access to internal and external training, certification reimbursement; * 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days; * Up to $300/year for English classes + a free speaking club; * Up to $180/year for sports activities; * A strong culture of knowledge sharing with senior experts you can really learn from; * New equipment provision, and accounting support if needed; * Competitive market-level salary with regular performance and salary reviews; * Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations; * A psychologically safe and supportive environment; * Active social responsibility and continuous support for the Armed Forces.
If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.
You’re also welcome to recommend colleagues or friends — we offer a referral bonus .
