NLB Services
Job Overview
Grow use of AI within customer and employee facing experiences.
Responsibilities
Partner with cross‑functional business and technology teams to understand business landscape and drive AI opportunities.
Provide technical thought‑leadership and direction for AI solutions across a wide range of centralized and distributed environments.
Partner with Architecture, Foundations, and Security teams to pave the way for leveraging industrialized design patterns.
Help to define, design and capture data required for measurement of each solution.
Collaborate frequently to share ideas and gain perspective. Communicate critical information in a clear and timely manner. Listen to others. Seek clarification and confirm shared understanding when communicating.
Collaborate with business and product owners to engineer solutions that create a competitive advantage.
Work within a team of engineers and cross‑divisionally to design and build Artificial Intelligence into technical solutions at scale.
Contribute to strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns.
Look upstream and downstream to anticipate future consequences for immediate technical choices.
Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Design, develop, monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems.
Incorporate security standards, test‑driven development, and pipeline deployment automation to achieve robust reliability and scale.
Mentor junior teammates to define and implement detailed measurement data, error logging/tracking for all products within our domain.
Initiate and lead code reviews and continuous improvement efforts.
Analyze and implement performance, stability, reliability initiatives.
Monitor metrics, problems, trends, and costs to determine solutions and required process changes that will make the function more efficient.
Plan, create, and execute automated test cases and load/performance testing.
Operate with Agile and Cloud Target squads within two‑week sprints.
Own and support what you build.
Production issue triage, management, and prevention with a focus on continuous improvement.
Develop an AI first mindset and help democratize AI.
Qualifications
5+ years of work experience in Software Engineering.
3+ years of work or educational experience in Artificial Intelligence/Machine Learning.
Experience with Agile Software Development Lifecycles and DevOps/DevSecOps.
Development experience on AWS, AWS SageMaker (required).
Experience with one or more general‑purpose programming languages including Python, R, Scala, Spark.
Experience with NLP, sentiment analysis, classification, pattern recognition.
Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit‑learn, Keras, Caffe, Gluon, Torch.
Familiarity with GenAI technology stack, frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine‑tuning.
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.
Experience training and maintaining large language models.
Experience with production‑grade development, integration and support.
Experience and familiarity presenting to technical and business audiences.
Position open to ATL and MSP offices.
Desired Traits
A doer by default: self‑motivated and takes pride in building great experiences for users.
Resourceful in finding data and tools, and has a bias for action.
Enjoys working with people, can empathize, and is not afraid to ask for help or help teammates.
Believes in strong opinions, weakly held, open to change when presented with new facts.
Intensely curious about finding solutions to pain‑points of our passengers along the entire travel experience.
Has a sense of ownership and drives continuous improvement.
Loves travel and can deeply empathize with our customers.
Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. NLB is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact the HR department by sending an e‑mail to notifications@nlbservices.com.
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Responsibilities
Partner with cross‑functional business and technology teams to understand business landscape and drive AI opportunities.
Provide technical thought‑leadership and direction for AI solutions across a wide range of centralized and distributed environments.
Partner with Architecture, Foundations, and Security teams to pave the way for leveraging industrialized design patterns.
Help to define, design and capture data required for measurement of each solution.
Collaborate frequently to share ideas and gain perspective. Communicate critical information in a clear and timely manner. Listen to others. Seek clarification and confirm shared understanding when communicating.
Collaborate with business and product owners to engineer solutions that create a competitive advantage.
Work within a team of engineers and cross‑divisionally to design and build Artificial Intelligence into technical solutions at scale.
Contribute to strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns.
Look upstream and downstream to anticipate future consequences for immediate technical choices.
Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Design, develop, monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems.
Incorporate security standards, test‑driven development, and pipeline deployment automation to achieve robust reliability and scale.
Mentor junior teammates to define and implement detailed measurement data, error logging/tracking for all products within our domain.
Initiate and lead code reviews and continuous improvement efforts.
Analyze and implement performance, stability, reliability initiatives.
Monitor metrics, problems, trends, and costs to determine solutions and required process changes that will make the function more efficient.
Plan, create, and execute automated test cases and load/performance testing.
Operate with Agile and Cloud Target squads within two‑week sprints.
Own and support what you build.
Production issue triage, management, and prevention with a focus on continuous improvement.
Develop an AI first mindset and help democratize AI.
Qualifications
5+ years of work experience in Software Engineering.
3+ years of work or educational experience in Artificial Intelligence/Machine Learning.
Experience with Agile Software Development Lifecycles and DevOps/DevSecOps.
Development experience on AWS, AWS SageMaker (required).
Experience with one or more general‑purpose programming languages including Python, R, Scala, Spark.
Experience with NLP, sentiment analysis, classification, pattern recognition.
Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit‑learn, Keras, Caffe, Gluon, Torch.
Familiarity with GenAI technology stack, frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine‑tuning.
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.
Experience training and maintaining large language models.
Experience with production‑grade development, integration and support.
Experience and familiarity presenting to technical and business audiences.
Position open to ATL and MSP offices.
Desired Traits
A doer by default: self‑motivated and takes pride in building great experiences for users.
Resourceful in finding data and tools, and has a bias for action.
Enjoys working with people, can empathize, and is not afraid to ask for help or help teammates.
Believes in strong opinions, weakly held, open to change when presented with new facts.
Intensely curious about finding solutions to pain‑points of our passengers along the entire travel experience.
Has a sense of ownership and drives continuous improvement.
Loves travel and can deeply empathize with our customers.
Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. NLB is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact the HR department by sending an e‑mail to notifications@nlbservices.com.
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