Senior AI Engineer

Tech start-up leveraging Generative AI and NLP to build AI Agents for business operations automation
Machine Learning
Senior Software Engineer
Hybrid
3+ years of experience
AI · Enterprise SaaS

Description For Senior AI Engineer

Beam is an innovative tech startup specializing in Generative AI and NLP, focused on building AI Agents for business operations automation. As a Senior AI Engineer, you'll be at the forefront of developing intelligent systems that transform business processes through automation. The role involves working with cutting-edge AI technologies, including LLMs, RAG, and multi-agent systems. You'll be responsible for researching and implementing advanced AI techniques, optimizing model performance, and building robust data pipelines. The position offers significant autonomy, working in a collaborative startup environment with opportunities to make direct impact. The ideal candidate should have strong expertise in Python, ML frameworks, and AI agent development, with 3+ years of relevant experience. Benefits include competitive compensation, equity, and professional growth opportunities in a fast-paced, innovation-driven environment.

Last updated 8 days ago

Responsibilities For Senior AI Engineer

  • Research and investigate emerging AI techniques for enhancing AI Agents' autonomy
  • Design and implement new agent capabilities including function calling and multi-step task execution
  • Optimize LLMs through prompt engineering, fine-tuning, and RAG techniques
  • Develop agent orchestration systems for complex task management
  • Build robust data pipelines for AI Agents
  • Optimize AI systems for efficiency and scalability
  • Stay updated with latest AI advancements
  • Participate in code reviews and testing

Requirements For Senior AI Engineer

Python
  • Bachelor's degree or higher in Computer Science, AI, ML, or related field
  • 3+ years experience in AI, ML, or related engineering roles
  • Strong programming skills in Python and SQL
  • Experience with LangChain, LlamaIndex, and AI Agent frameworks
  • Knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with RAG, function calling, and multi-agent architectures
  • Experience with LLMs optimization and prompt engineering
  • Familiarity with vector databases
  • Basic understanding of cloud platforms
  • Knowledge of agentic workflows and AI orchestration
  • Strong problem-solving and communication skills

Benefits For Senior AI Engineer

Equity
  • Ownership and autonomy in projects
  • Personal and professional growth opportunities
  • Work with cutting-edge AI technologies
  • Competitive salary
  • Stock options
  • Comprehensive benefits package
  • Collaborative startup environment

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