AI/ML Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Software Engineer based in United States.

This role sits at the intersection of AI engineering, data science, and full-stack software development.

• Design, build, and evolve production-grade AI systems, including agentic workflows and autonomous solutions.
• Develop robust backend services, intuitive interfaces, and data pipelines that bring AI capabilities into real-world applications.
• Contribute to multi-agent orchestration, prompt engineering, model evaluation, and production optimization.
• Collaborate with engineers, customers, and cross-functional stakeholders in an agile environment.
• Design, build, and maintain agentic workflows, autonomous systems, and multi-agent architectures.
• Integrate AI and machine learning models into scalable, reliable production applications.
• Develop clean, maintainable software across the technology stack, including backend services, user-facing interfaces, APIs, and supporting application components.
• Implement orchestration logic for multi-agent systems and task automation using appropriate frameworks and architectural patterns.
• Build prototype-level data pipelines supporting model training, evaluation, review, and data movement.
• Monitor and optimize AI systems in production while identifying and mitigating issues such as hallucinations, bias, reliability, and performance degradation.
• Partner with engineers, customers, and business stakeholders to understand requirements and translate needs into technical solutions.
• Research and apply emerging developments in AI, LLMs, prompt engineering, and agentic architectures.
• Contribute throughout the software development lifecycle, from experimentation and prototyping through implementation, deployment, and continuous improvement.

• Bachelor’s degree in Computer Science or a STEM-related discipline.
• At least 3 years of professional experience in AI/ML engineering.
• Strong understanding of AI/ML concepts, LLMs, prompt engineering, and practical AI application development.
• Proven full-stack engineering experience with strong programming skills, particularly in Python, along with tools such as JupyterHub, GitHub, and Visual Studio.
• Experience designing or building agentic workflows, autonomous systems, or multi-agent architectures.
• Familiarity with orchestration frameworks such as LangChain, AutoGen, CrewAI, or comparable technologies.
• Experience with cloud platforms such as AWS, Azure, or GCP, as well as containerization technologies including Docker and Kubernetes.
• Ability to contribute to scalable solution architecture and integrate AI capabilities into production-grade software systems.
• Experience creating data pipelines and validating AI model performance through data analysis and structured evaluation.
• Ability to navigate ambiguous, complex challenges and apply AI/ML techniques to practical, real-world problems.
• Ability to interact effectively with customers, understand their needs, and provide appropriate technical guidance and support.
• A valid LinkedIn profile is requested.
• 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.

• 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.