Senior Developer - AI & ML

Senior Developer - AI & ML

Contract Duration: 12 Months on W2, eligible for full benefits, potential to extend or convert

What you need to succeed (minimum qualifications)

• 5+ years of work experience in Software Engineering
• 3+ years of work/educational experience in Artificial Intelligence/Machine Learning, Experience with Agile Software Development Life cycles and Dev Ops/Dev Sec Ops
• Experience with one or more general purpose programming languages including but not limited to:
  Python, R, Scala, Spark, Expertise with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
• Development experience on AWS, AWS Sagemaker, AWS Gen AI stack including Bedrock, Guardrails and observability & monitoring required
• Experience with Agentic AI platforms and frameworks, MCP and A2A protocols
• Experience working with Vector
  
  DBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
• Experience with one or more of the following:
  Natural Language Processing, sentiment analysis, classification, pattern recognition.
• Development experience with AI frameworks such as Tensor Flow, Microsoft CNTK, scikit, Keras.
• Experience with production‑grade development, integration and support
• Experience and familiarity presenting to technical and business audiences
• Position open to ATL and MSP offices

• A doer by default:
  You are self‑motivated and take pride in building great experiences for users, whether they are employees or customers. You are resourceful in finding the data and tools you need to get the job done and have a bias for action.
• You enjoy working with people and can put yourself in other people's shoes. You're not afraid to ask for help when you need it or help teammates when they need a boost.
• You believe in strong opinions, weakly held—you're not afraid to change your opinion in the face of new facts and acknowledge what you don't know.
• Are intensely curious about finding a solution to the pain‑points of our passengers along the entire travel experience.
• Have a sense of ownership in everything you build, and drive for continuous improvement.
• Love travel and can deeply empathize with our customers.

• Grow the use of AI within customer and employee facing experiences
• 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 across the company landscape.
• Partner with Architecture, Foundations, and Security teams to pave the way for us to leverage industrialized design patterns.
• Help to define, design and capture data required for measurement of each solution.
• Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner. Listens to others. Seeks clarification and confirms shared understanding when communicating.
• Delivering with Quality and Speed.
• Collaborate with business and product owners, understanding the product and business domain 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 the 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 see around corners and 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 team‑mates 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.
• Analysis and implementation of Performance/Stability/Reliability initiatives.
• Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. 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 sprint.
• 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 for the company.

• Mid‑Senior level

• Contract

• Staffing and Recruiting