AI Lead Software Engineer, AI & Analytics

Key Skills

AWS, Azure, Containerization, ETL frameworks, Generative AI, JavaScript, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, SQL

Job Description

We are looking for an outstanding software engineer with a strong interest in data analytics to join Recorded Future’s Analytics Team within the R&D organization. You will be joining a group of talented engineers, linguists, and data scientists who share a common interest in solving challenging data analytics tasks in large distributed systems with rich data. The team's responsibilities include developing AI solutions which interact with the Recorded Future Intelligence Graph and Platform. We strive to make our data as actionable and comprehensive as possible and have fun.

You would get the chance to develop great software in a fast-moving environment close to our global clients and their needs. Together, we’ll improve our product to meet increasing demands while focusing on scalability and quality. You will also get a chance to experiment with new technology and explore what solutions are most suitable for solving real-world problems. You would join a dynamic team eager to take on new challenges and are passionate about what they do.

What you will be doing:

• Work on complex issues where analysis of situations or data requires an in-depth evaluation
• Work together with our product teams to understand and deliver expected results
• Continuously design, develop and deploy our software, analytics, and processing technology to support new and existing features with a focus on high availability, excellent quality, low latency, and scalability
• Select methods and techniques for obtaining solutions
• Determine methods and procedures for new assignments, may coordinate efforts of colleagues
• Measure and evaluate features and system metrics to continuously improve data quality and service performance
• Support DevOps and MLOps activities
• Access to the energy, velocity, and freedom of an entrepreneurial culture
• Networks with key contacts outside area of expertise
• Proactive, go beyond expectations, and independent
• Having wide-ranging experience uses professional concepts and company objectives to resolve complex issues creatively and effectively

What you will need:

• Minimum 10 years of experience as a software engineer
• Experience with data analytics and data processing
• Experience in technical leadership, leading project teams, and setting technical direction
• Experience with more than one general-purpose programming language (Scala, Java, Python)
• Ability to learn other coding languages as needed
• Experience and comfort in API development
• Architect and develop solutions to ambiguous problems with significant impact
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to product, engineering, and business audiences
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience
• Strong English skills are a must

Bonus points for:

• Experience with Containers, container orchestration for delivering software systems
• Scaling real-time and analytical systems
• Experience with developing systems incorporating Machine Learning and Generative AI
• Experience in ML Ops, deploying and monitoring real-time inference models and ETL (extract, transform and load) pipelines
• Experience handling both research and development
• Deep understanding of machine learning and image/video/text/patterns processing algorithms
• Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products