Agentic AI Engineer, Behavox
+ Offers compensation with 100% bonus pay already integrated
AI insights to safeguard & enhance businesses
Job no longer available
AI insights to safeguard & enhance businesses
201-500 employees
Job no longer available
+ Offers compensation with 100% bonus pay already integrated
201-500 employees
Company mission
To transform data into AI insights that safeguard and enhance businesses.
Role
Who you are
- If you’re excited to pioneer agentic AI technology and see your work transform the way people work every day, this is the perfect place for you
- A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
- Production AI/LLM Application Development: Extensive relevant experience, including building production-grade LLM-powered applications or agents
- Expertise in LLM & Agentic Concepts: Mastery of concepts like retrieval augmented generation (RAG), prompt chaining/Chain-of-Thought reasoning, use of memory (short & long-term) in AI agents, and tool usage by agents
- Strong Python and Engineering Skills: Fluency in Python programming and familiarity with ML libraries or frameworks (e.g. PyTorch, TensorFlow) as needed
- Cloud & DevOps Familiarity: Experience deploying and running applications on cloud platforms (AWS/GCP)
What the job involves
- The Agentic AI Engineering team at Behavox is building the next generation of intelligent automation—AI agents powered by the latest advances in large language models (LLMs)
- Our mission is to dramatically boost productivity across the company by creating agents that can reason, take action, and seamlessly integrate with our development and business workflows
- You will tackle a diverse set of engineering challenges, including designing agentic architectures, orchestrating LLMs with external tools and APIs, and deploying robust, scalable AI systems
- As an Agentic AI Engineer, you will work closely with AI researchers, and MLOps to bring innovative agent solutions from prototype to production
- Pioneer Enterprise AI Integration: You will be at the forefront of applying cutting-edge LLMs and agent technology to real business operations, leading the development of first-of-their-kind AI solutions that redefine how our teams work. You’ll have the freedom to experiment and shape Behavox’s approach to AI-driven productivity
- High Impact and Visibility: The AI agents you develop will have immediate and tangible effects on the daily work of hundreds of employees. Success in this role means your work will be recognized company-wide for making a real, measurable difference in productivity
- Collaborative, Growth-Oriented Environment: You’ll collaborate with a top-tier team of AI researchers and MLOps experts, working on state-of-the-art technology in a culture that values innovation, experimentation, and learning. It’s a unique chance to expand your expertise and drive a strategic initiative without layers of bureaucracy slowing you down
- Design and Deploy Autonomous AI Agents: ability to architect AI agents to perform complex tasks by breaking them into smaller steps, and implementing them end-to-end from PoC and till production
- Innovate and Drive AI Projects: ability to originate innovative ideas for applying AI agents to real problems
- Apply Latest Research to Improve Systems: competence in staying up-to-date with recent developments in the AI/LLM field and incorporating those improvements
- Optimize and Ensure Reliability of AI Agents: demonstrated ability to use engineering tools to improve performance – e.g., optimize an agent’s response time or success rate by adjusting how it uses resources
- Technical Leadership and Collaboration: ideally, the candidate would be able to make sound technical decisions, mentor others, and collaborate effectively
Application process
- We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams
- We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment
- During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment
- We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies
- The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers
Our take
The volume of communications in the workplace is going up. Not only do people send emails, but now employees are communicating all day through internal chat platforms like Slack. Behavox helps companies make sense of the vast amount of data being produced from all of these messages.
The company uses AI and machine learning to aggregate and analyse large volumes of unstructured communications. The data produced can be used to create actionable insights on employees' performance and also help risk and compliance teams to identify bad actors.
Regulation is high for financial services companies, and it's likely to grow in other industries, increasing Behavox's potential addressable market. The company has continued to develop its offering, with a number of updates released over the years, keeping the platform up-to-date with developing tech.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2020
$100m
LATE VC
Dec 2018
$70m
LATE VC
Total funding: $179.9m
Company benefits
- Equity options
- Health insurance for the whole family, free of charge
- World-class relocation program with visa and citizenship sponsorship
- Great office culture
- OKR-based management
Company HQ
Vauxhall, London, UK
Leadership
Erkin Adylov
(CEO & Co-founder)Previously co-managed a hedge fund focusing on financial technology companies, and was a research analyst at Goldman Sachs.
Slav Slavinski
(Chief of Staff & Co-founder)Previously a corporate finance executive, who also trained as a software developer.
Salary benchmarks
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