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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 https://www.beam.ai/


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?

  • 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!

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!

Average salary estimate

$140000 / YEARLY (est.)
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$120000K
$160000K

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What You Should Know About Senior AI Engineer, Beam

Beam is at the forefront of technology innovation, and we're on the lookout for a talented Senior AI Engineer to join our enthusiastic team! In this exciting role at Beam, you'll dive into the world of Generative AI and natural language processing to create AI Agents that help organizations streamline their business operations effortlessly. These AI Agents are designed to enhance productivity by automating repetitive tasks in a jiffy, allowing teams to focus on what truly matters. As a Senior AI Engineer, your mission will be to develop, implement, and optimize sophisticated AI models and systems that drive automation and insightful decision-making. Collaborating closely with a dynamic team of engineers and product specialists, you'll shape the future of AI-powered solutions by designing innovative features that enhance our AI Agents’ capabilities. From researching cutting-edge AI techniques to optimizing large language models, you'll have the autonomy and support to explore new ideas and drive efficiencies across various business sectors. Your expertise will be crucial in ensuring our AI systems are not just powerful but also capable of tackling real-world challenges while maintaining high performance. If you're passionate about pushing the boundaries of AI and ready to make a tangible impact, Beam is the perfect place for you. Join us in empowering businesses with the AI technology of tomorrow, and let's revolutionize the way companies operate together!

Frequently Asked Questions (FAQs) for Senior AI Engineer Role at Beam
What are the main responsibilities of a Senior AI Engineer at Beam?

As a Senior AI Engineer at Beam, your main responsibilities will include researching and designing AI-powered features, optimizing large language models, and developing systems for complex task execution. You will closely collaborate with data engineers and other product teams to ensure our AI Agents effectively integrate with existing business applications, ultimately driving productivity and efficiency.

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What qualifications do I need to apply for the Senior AI Engineer position at Beam?

To qualify for the Senior AI Engineer role at Beam, you should have a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with a minimum of three years of relevant experience in AI or machine learning. Strong programming skills in Python are essential, and familiarity with frameworks like LangChain or libraries such as TensorFlow and PyTorch will greatly benefit your application.

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How does Beam support the growth and development of its Senior AI Engineers?

At Beam, we prioritize personal and professional growth for our Senior AI Engineers by providing continuous learning opportunities, mentorship, and exposure to the latest advancements in AI technology. Our collaborative culture encourages innovative thinking, and we empower you to take ownership of projects, helping you develop both technical and leadership skills in a fast-paced environment.

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What AI technologies will I work with as a Senior AI Engineer at Beam?

As a Senior AI Engineer at Beam, you will work with advanced technologies in Generative AI and natural language processing. This includes utilizing large language models (LLMs), retrieval-augmented generation (RAG) techniques, and frameworks designed for building AI Agents. Staying up to date with the latest AI research will be a key part of your role as you help shape innovative solutions for our clients.

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What makes Beam an exciting place to work for AI professionals?

Beam offers a unique environment that fosters innovation, collaboration, and autonomy. As part of a fast-paced tech start-up that values your ideas and contributions, you will have the opportunity to tackle real-world business challenges and make a substantial impact on the future of AI. Additionally, our competitive benefits and supportive culture create a great foundation for your career growth.

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Common Interview Questions for Senior AI Engineer
Can you explain a project where you implemented AI solutions?

When answering this question, describe a specific project where you successfully implemented AI solutions. Focus on your role, the technologies you used, the challenges you faced, and the impact of the outcome. Highlight your ability to collaborate with teams, innovate, and apply advanced techniques relevant to Beam's work.

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What techniques do you use for optimizing large language models?

Discuss techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) when answering this question. Elaborate on how these strategies improve model performance and reliability, and share your specific experiences in optimizing LLMs during previous projects, making sure to relate it back to your potential work at Beam.

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How do you approach feature development for AI agents?

Explain your process for feature development, starting from identifying business needs to conceptualizing and implementing AI capabilities. Emphasize your research approach, collaboration with multidisciplinary teams, and the importance of user feedback in the continuous improvement of AI features, as these are critical to Beam's innovation efforts.

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What programming languages are you proficient in, and how do they relate to AI development?

Mention your proficiency in programming languages like Python, which is crucial for AI development, and discuss your experience with related languages like SQL, Java, or C++. Explain how you utilize these languages to build efficient AI systems and collaborate on projects, linking back to how this would benefit your work at Beam.

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What do you understand by agentic workflows and task decomposition in AI?

Provide a detailed explanation of agentic workflows, task decomposition, and how they enable AI systems to operate efficiently. Share your experiences with multi-agent collaborations or implementing similar structures in past projects, relating them to Beam's focus on enhancing AI Agents and their capabilities.

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How do you handle real-world constraints when optimizing AI systems?

Discuss your strategies for addressing constraints such as cost, latency, and interpretability in AI systems. Mention how you prioritize these factors during the design and optimization phases and any specific examples of overcoming these challenges successfully in previous roles, emphasizing their significance at Beam.

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What is your experience with retrieval-augmented generation (RAG)?

Talk about your direct experience with RAG, including projects where you've applied this technique. Focus on how it enhances information retrieval and improves AI model accuracy. If relevant, link your experiences to any specific tools or frameworks you used, showcasing how this knowledge will be an asset in your role at Beam.

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Can you describe your experience with collaborative coding practices?

Highlight your familiarity with collaborative coding practices such as code reviews and pair programming. Stress the importance of maintaining high code quality and reliability, and relate it to how you would ensure the success of AI features in a team-oriented environment, as is prevalent at Beam.

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How do you stay updated with the latest AI advancements?

Share your commitment to continuous learning by mentioning how you follow notable research papers, attend industry conferences, or engage with online AI communities. Emphasize how staying informed helps you bring innovative solutions to projects at Beam and keeps you ahead in the rapidly evolving AI landscape.

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What motivates you to work in AI and technology?

Convey your passion for AI by discussing specific experiences that sparked your interest. Mention how the potential to transform industries and improve business efficiency drives your work ethic. Align your motivation with Beam’s mission of leveraging AI solutions to create impactful change.

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Beam Industries, headquartered in Webster City, Iowa, began operation as Beam Manufacturing Company, producing washing machines, dishwashers, and Beam "Doodlebug" scooters. The scooters became famous during World War II when gasoline rationing cam...

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Full-time, remote
DATE POSTED
March 26, 2025

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