AI/ML Software Engineer

Accountabilities:

• • AI and agentic systems: Design, build, and maintain agentic workflows, autonomous systems, and multi-agent architectures that automate complex tasks and enhance product capabilities.
  • Production AI development: Integrate AI and machine learning models into scalable, reliable production applications, going beyond model training to address prompts, validation, deployment, and operational performance.
  • Full-stack engineering: Develop clean, maintainable software across the technology stack, including backend services, user-facing interfaces, APIs, and supporting application components.
  • AI orchestration: Implement orchestration logic for multi-agent systems and task automation using appropriate frameworks and architectural patterns.
  • Data pipelines and evaluation: Build prototype-level data pipelines supporting model training, evaluation, review, and data movement between AI components and applications.
  • Model performance and risk management: Monitor and optimize AI systems in production while identifying and mitigating issues such as hallucinations, bias, reliability, and performance degradation.
  • Cross-functional collaboration: Partner with engineers, customers, and business stakeholders to understand requirements, translate needs into technical solutions, and provide effective technical support.
  • Technical innovation: Research and apply emerging developments in AI, LLMs, prompt engineering, and agentic architectures to improve products and user experiences.
  • Agile delivery: Contribute throughout the software development lifecycle, from experimentation and prototyping through implementation, deployment, and continuous improvement.

  Requirements:

  • Education: Bachelor’s degree in Computer Science or a STEM-related discipline.
  • Experience: At least 3 years of professional experience in AI/ML engineering.
  • AI/ML expertise: Strong understanding of AI/ML concepts, LLMs, prompt engineering, and practical AI application development.
  • Software engineering: Proven full-stack engineering experience with strong programming skills, particularly in Python, along with tools such as JupyterHub, GitHub, and Visual Studio.
  • Agentic AI: Experience designing or building agentic workflows, autonomous systems, or multi-agent architectures.
  • AI frameworks: Familiarity with orchestration frameworks such as LangChain, AutoGen, CrewAI, or comparable technologies.
  • Cloud and infrastructure: Experience with cloud platforms such as AWS, Azure, or GCP, as well as containerization technologies including Docker and Kubernetes.
  • Solution architecture: Ability to contribute to scalable solution architecture and integrate AI capabilities into production-grade software systems.
  • Data and model evaluation: Experience creating data pipelines and validating AI model performance through data analysis and structured evaluation.
  • Problem solving: Ability to navigate ambiguous, complex challenges and apply AI/ML techniques to practical, real-world problems.
  • Customer orientation: Ability to interact effectively with customers, understand their needs, and provide appropriate technical guidance and support.
  • Professional profile: A valid LinkedIn profile is requested.
  • Work authorization: Candidates must be legally authorized to work in the United States without current or future employment visa sponsorship. Because the role involves access to U.S. export-controlled information, employment requires the ability to demonstrate qualifying U.S. Person status.

  Benefits:

  • Competitive salary: Base pay range of $95,000–$140,000 USD per year, depending on experience, education, skills, and other relevant factors.
  • Performance incentive: Eligibility for an annual discretionary bonus based on the applicable compensation plan.
  • Remote flexibility: Remote position in the United States.
  • Healthcare: Medical, dental, vision, and prescription drug coverage.
  • Wellbeing resources: Access to a health coach and a confidential Employee Assistance Program providing 24/7 assessment, counseling, and referral services.
  • Retirement: 401(k) savings plan with company matching and retirement contributions, plus access to financial planning resources.
  • Additional support: Tuition assistance, adoption assistance, paid parental leave, disability insurance, and life insurance.
  • Paid time off: Vacation and paid time off for illness.
  • Professional development: Opportunities to work on challenging AI/ML initiatives, develop technical expertise, and contribute to innovative products and technologies.
  • Relocation: No relocation assistance is provided.