We are looking for a talented Algorithm Engineer to join our Cognitive AI team. In this role, you will design, build, and optimize LLM-based agents that power real-time problem solving. You will be hands-on in Python, research-driven, and passionate about creating intelligent, scalable AI solutions that make a real impact.
Responsibilities:
Design, develop, and optimize LLM-based agents for real-world production use cases.
Build intelligent agent frameworks that orchestrate reasoning across tools, APIs, and knowledge bases.
Deploy and maintain LLM applications in production, ensuring performance, scalability, and reliability.
Research new approaches in LLMs and agent architectures, and integrate cutting-edge techniques into production systems.
Collaborate with cross-functional teams (product, engineering, data) to translate business needs into AI solutions.
Continuously monitor and optimize deployed models, diagnosing and resolving bottlenecks.
Think creatively about complex problems and deliver technological Innovation
Requirements: 3+ years experience as an Algorithm/Machine Learning Engineer.
1+ years hands-on experience developing and deploying LLM-based applications in production
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Solid understanding of cloud environments (AWS, GCP, or Azure)
Strong research and problem-solving mindset; ability to keep up with state-of-the-art in AI.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more Advantage
Experience with agent-based architectures (tool orchestration, retrieval-augmented generation, structured reasoning) Advantage.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval Advantage.
Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques.
Excellent teamwork, communication, and ability to thrive in a fast-moving startup environment.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.
This position is open to all candidates.