We are searching for a skilled, innovation-driven Lead AI Engineer to join our team and spearhead the development of cutting-edge Generative AI solutions. If you're passionate about artificial intelligence and adept at building systems that deliver measurable business impact, this opportunity is ideal for you. You will work with a dynamic group of professionals to create and deploy AI-driven technologies that tackle real-world challenges — all within a highly collaborative, supportive, and forward-focused environment.
As a technical leader, you won't just write code; you will shape our AI technical roadmap, architect complex enterprise-grade systems, act as a trusted advisor to our clients, and mentor and grow a high-performing engineering team.
If you love Python, Natural Language Processing (NLP), and driving innovation at the intersection of AI strategy and software craftsmanship, we want to hear from you!
Responsibilities:
Drive technical vision and architecture by leading the design and implementation of highly scalable, robust enterprise AI applications, including complex multi-agent workflows, custom search engines, and end-to-end AI systems
Partner closely with clients and business stakeholders to translate business goals into technical roadmaps and recommend high-impact, feasible LLM-driven solutions
Establish engineering standards by setting the benchmark for code quality, architectural patterns, robust data pipelines, smart prompt management, and automated evaluation frameworks
Foster a culture of learning and high performance through design reviews, development best practices, and active mentorship of junior and senior developers
Direct R&D and innovation by guiding research on emerging models, framing prototyping strategies (PoCs), and standardizing the tools and frameworks used to stay on the bleeding edge of Generative AI
5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role, with a track record of architecting and shipping complex, production-grade AI or ML-based solutions
At least 1 year of relevant leadership experience
Master-level proficiency in Python (specifically FastAPI or equivalent web frameworks) and a strong foundation in core NLP concepts (semantic similarity, tokenization, NER, text classification)
Expertise in modern Generative AI design patterns, particularly RAG (Retrieval-Augmented Generation), autonomous multi-agent networks, and tool integration
Production experience with major LLM APIs (OpenAI, Anthropic, Bedrock, Gemini) and framework orchestration tools such as LangGraph or LlamaIndex
Background in optimizing AI applications for performance, security (prompt injection mitigation, data privacy), cloud costs, and system evaluation using programmatic or LLM-as-a-judge approaches
Capability to quickly direct and build intuitive UI/UX prototypes using Streamlit, Gradio, or equivalent
Outstanding leadership and communication skills to lead engineering discussions, bridge the gap between technical and non-technical audiences, and present technical architectures to executives and clients
Strong English communication skills (B2 level or higher)