Senior AI Engineer

About Beam

Beam is a tech start-up leveraging Generative AI and NLP to build AI Agents for business operations. Beam's generative agents help organisations to boost their productivity by automating repetitive tasks in seconds. Powered by LLMs, AI agents are easy to setup, seamlessly integrate with business applications, and support teams where they need them most. We are on a mission to transform business practices by empowering organisations with artificial intelligence to increase efficiency, improve competitiveness, and scale operations globally.

To learn more about us, please visit our website at 

About the Role

As an AI Engineer at Beam, you will play a crucial role in the development, implementation, and optimization of our AI models and systems. You will work closely with other engineers and product teams to build intelligent systems that improve business processes through automation and data-driven insights. We seek an individual passionate about innovating and leveraging AI technologies to drive growth and efficiency.

Responsibilities

This role involves researching, designing, and building AI-powered features that enhance our AI Agents' capabilities. You will be at the forefront of advancing agentic workflows, improving automation, and integrating state-of-the-art AI techniques. Your key responsibilities will include:

• Research & Innovation: Investigate emerging AI techniques, including reasoning, planning, and memory architectures, to enhance AI Agents' autonomy and adaptability.
• Feature Development: Design and implement new agent capabilities, such as function calling, multi-step task execution, and learning from feedback.
• LLM Optimization: Leverage prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to improve the performance and reliability of large language models (LLMs).
• Agent Orchestration: Develop systems that allow AI Agents to break down complex tasks, collaborate with other agents, and request human input when needed.
• Data & Workflow Integration: Work closely with data engineers and product teams to build robust pipelines for AI Agents to access structured and unstructured data.
• Performance & Scalability: Optimize AI systems for efficiency, ensuring that agents can handle real-world constraints such as cost, latency, and interpretability.
• Continuous Learning & Improvement: Stay updated with the latest advancements in AI, machine learning, and software engineering, incorporating cutting-edge research into practical applications.
• Code Quality & Reliability: Participate in code reviews, testing, and deployment pipelines to ensure high-quality and maintainable AI features.

Would you like to add anything specific about how the AI Agents interact with users or other systems?

Requirements

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 3 years of relevant experience in AI, machine learning, or related engineering roles.
• Strong programming skills in Python, along with experience in SQL and familiarity with other programming languages (e.g., Java, C++).
• Experience with LangChain, LlamaIndex, or other frameworks for building AI Agents and LLM-powered applications.
• Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with retrieval-augmented generation (RAG), function calling, and multi-agent collaboration architectures.
• Experience working with large language models (LLMs) and techniques for optimization, fine-tuning, and prompt engineering.
• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient information retrieval.
• Basic understanding of cloud platforms (AWS, Azure, GCP) and their service offerings suitable for AI applications.
• Knowledge of agentic workflows, task decomposition, and AI orchestration techniques.
• Excellent problem-solving skills and the ability to adapt to new technologies as needed.
• Strong communication and teamwork skills, with a proactive approach to collaboration.
• Self-motivated and detail-oriented, with a passion for creating AI-driven solutions.

If you are passionate about building AI Agents that push the boundaries of automation, reasoning, and adaptability, we'd love to hear from you Join us in shaping the future of AI-powered solutions

Benefits

Why Beam?

At Beam, we foster a culture of ownership and growth, giving you the freedom to take charge of your work and make a meaningful impact on the future of AI. As part of a highly collaborative, fast-paced startup, you'll have the opportunity to work at the forefront of AI innovation, designing and building solutions that address real-world business challenges.

We offer more than just a job. Here, you'll find:

• Ownership and autonomy: You'll have the opportunity to own the full lifecycle of projects, from conception to execution, and see your work directly impact businesses worldwide.
• Personal and professional growth: We encourage continuous learning and innovation. Whether you're advancing in your technical expertise, growing your leadership skills, or shaping the next generation of AI solutions, your growth is our priority.
• Being at the cutting edge: You'll be working with the latest AI technologies, driving innovation in generative AI and natural language processing.
• Competitive benefits and stock options: We offer a competitive salary, stock options, and comprehensive benefits to ensure you're not only rewarded today but also invested in the future of the company.
• Collaborative Culture: You'll work alongside brilliant minds in an agile, collaborative, and supportive startup environment, where your ideas can truly make a difference.

If you are passionate about leveraging AI to drive innovation and thrive in a collaborative, fast-paced environment, we'd love to hear from you Join us in shaping the future of AI-powered solutions