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About the role
- Algorithm Engineer designing and optimizing LLM-based agents for TechSee's Cognitive AI team. Collaborating with cross-functional teams to deliver scalable AI solutions in a hybrid work environment.
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.
Benefits
- Personal development programs and professional training
- Solid base salary and incentives plan
- Strong benefits
- Ownership (equity) in a high-growth SaaS venture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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