We are seeking a Senior AI Engineer with extensive hands-on experience in developing products powered by Large Language Models (LLMs) and Generative AI technologies.
This role is ideal for an engineer with a depth of experience in machine learning, a strong full-stack background, and a product-driven mindset.
The candidate will help lead the design and development of advanced AI systems, from building prototypes to scaling production systems.
The ideal candidate is excited about applying cutting-edge AI in meaningful, user-focused ways and thrives at the intersection of R&D, engineering, and product.
Responsibilities include architecting and implementing scalable AI systems and applications powered by LLMs and multi-agent frameworks.
The engineer will lead end-to-end development efforts, including model integration, infrastructure design, and application logic.
Prototyping and deploying GenAI applications that combine retrieval, tool use, reasoning, and interactivity is a key task.
The role involves contributing to decision-making around model selection, finetuning, evaluation, and safety mechanisms.
Monitoring AI/ML performance in production and driving continuous improvement of prompt, RAG, and agent pipelines is expected.
Staying at the forefront of GenAI developments and bringing innovative ideas into the product roadmap is essential.
Requirements:
Candidates must have 4+ years of experience working in ML or AI engineering roles, ideally with a focus on NLP or GenAI.
A deep understanding of how modern LLMs work, including transformer architectures, finetuning, and evaluation, is required.
Hands-on experience implementing and optimizing GenAI techniques such as tool/function calling, multi-agent workflows, retrieval-augmented generation (RAG), finetuning or custom training (e.g., LoRA, PEFT), and structured prompting and evaluation is necessary.
Proficiency with GenAI frameworks and tools (e.g., LangChain, LlamaIndex, Hugging Face, Haystack) is essential.
Experience integrating LLMs into real-world applications, including building internal tooling or customer-facing AI features, is required.
A solid foundation in full-stack development or backend systems (Python, TypeScript, FastAPI, etc.) is necessary.
Candidates must have experience designing and deploying scalable APIs and cloud infrastructure (AWS, GCP, or Azure).
Proficiency with databases (PostgreSQL, MongoDB, or vector DBs like Pinecone or Weaviate) is required.
Comfort working in agile product teams and balancing experimentation with shipping reliable code is essential.
Strong Git/GitHub collaboration skills and comfort working with CI/CD workflows and containerization (Docker, etc.) are required.
Benefits:
The position offers the opportunity to work remotely, providing flexibility in work location.
Candidates will be part of a dynamic team focused on cutting-edge AI technologies and their applications.
The role allows for significant contributions to innovative projects and the chance to influence product direction.
There is potential for professional growth and development in a rapidly evolving field.
The company values a collaborative work environment, encouraging teamwork and knowledge sharing.
