Were looking for a Senior AI Engineer to join our team and help build cutting-edge solutions at the intersection of Generative AI, traditional Machine Learning, and software engineering. This is an exciting opportunity to work on transformative projects that shape the future of intelligent systems.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.
Requirements:
5+ years of experience in AI/ML engineering.
3+ years in Python with strong software engineering principles.
Solid foundation in data structures, algorithms, and design patterns.
Hands-on experience with LLMs, vector search, embeddings, and modern Gen AI workflows.
Familiarity with cloud platforms (AWS, GCP, Azure) and modern AI toolkits (LangChain, LangGraph, etc.) is a plus.
Strong communication and collaboration skills.
Nice to have
Experience with multi-agent systems, RAG pipelines, or knowledge graphs.
Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
Exposure to DevOps/MLOps and continuous model delivery.
5+ years of experience in AI/ML engineering.
3+ years in Python with strong software engineering principles.
Solid foundation in data structures, algorithms, and design patterns.
Hands-on experience with LLMs, vector search, embeddings, and modern Gen AI workflows.
Familiarity with cloud platforms (AWS, GCP, Azure) and modern AI toolkits (LangChain, LangGraph, etc.) is a plus.
Strong communication and collaboration skills.
Nice to have
Experience with multi-agent systems, RAG pipelines, or knowledge graphs.
Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
Exposure to DevOps/MLOps and continuous model delivery.
This position is open to all candidates.
