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Senior Software Engineer - Generative AI
Skills
Computer ScienceJavascriptSoftware DevelopmentAnalytical SkillsArtificial IntelligenceEngineeringHTML
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree or equivalent combination of education and experience in software engineering computer science or related field
- 5 or more years of software engineering experience including integrating AI capabilities into production applications using external services or APIs
- Experience with Java Python and JavaScript
- Experience with relational and non-relational databases including Db2 PostgreSQL SQL Server and vector databases
- Familiarity with web UI frameworks such as Vue React or Angular
- Knowledge of software development workflows CI/CD pipelines and version control tools
- Experience with AI and Gen AI technologies including LLMs RAG standardized model connection protocols agent frameworks and prompt engineering
- Experience with AI orchestration frameworks like LangChain
- Familiarity with AI observability tools to monitor and debug AI responses
- Understanding of API management including rate limiting latency and token cost optimization
- Experience with cloud platforms including Azure IBM GCP or AWS for AI services
- Ability to analyze user requirements define technical specifications estimate work and deliver high quality solutions
- Strong analytical thinking and problem solving skills
- Strong communication skills and ability to work with cross functional teams
- Excellence in documentation testing practices and operational reliability
- Ability to stay current with AI advancements LLM research and evolving best practices
- Passion for building reliable safe and impactful Generative AI systems
- Must be authorized to work in the U.S. without sponsorship
Nice to have
- Professionalism
- Integrity
- Curiosity
- Enterprise mindset
- Mentoring ability
- Attention to detail
Day to day
- Design and build production-ready Generative AI features within existing applications and platforms using secure scalable approaches.
- Develop RAG pipelines model evaluation frameworks and agent orchestrations that deliver reliable enterprise-aligned AI functionality.
- Troubleshoot production issues refine orchestration logic and collaborate with engineers architects and business partners to improve AI solutions.
- Lead AI project planning from scoping through deployment monitoring and documentation while mentoring team members on best practices and responsible AI.
Hiring process
- At least one in-person interview