This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer, AI Team based in the United States.
As a Senior Backend Engineer on the AI team, you will help build intelligent products that redefine how customers experience financial services. You will combine strong software engineering expertise with AI and machine learning capabilities to develop scalable, customer-facing solutions. A key focus will be helping bring an AI-powered virtual support agent from MVP through production while improving the underlying data, retrieval, and model infrastructure. You will work closely with product, engineering, data, and other cross-functional teams to turn complex AI capabilities into meaningful customer outcomes. Your work will directly influence product innovation, operational efficiency, and the quality of personalized customer experiences. This is a high-impact opportunity to work with modern generative AI technologies in a mission-driven, remote-first environment.
Accountabilities:
- Contribute to the design, development, and deployment of customer-facing AI products, including an AI-powered virtual support agent.
- Review proprietary datasets, vector database architecture, data pipelines, and supporting tools to identify gaps, improve quality, and strengthen system performance.
- Debug, enhance, and optimize AI and machine learning models while helping scale data and inference pipelines for production environments.
- Apply modern generative AI techniques, including retrieval-augmented generation, LLM agents, search and ranking improvements, and model fine-tuning, to solve complex customer and business problems.
- Collaborate with product, engineering, data science, and other cross-functional stakeholders to align AI initiatives with strategic and customer-focused objectives.
- Establish scalable monitoring and operational processes to maintain the reliability, quality, and performance of AI systems.
- Help define and execute a roadmap for AI innovation, identifying opportunities to leverage emerging technologies and improve existing products.
- Mentor and support junior team members while contributing to a culture of technical excellence, experimentation, and continuous improvement.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Statistics, or another STEM-related discipline.
- 5+ years of total software engineering experience, including 3+ years working in artificial intelligence, data science, or machine learning engineering.
- 3+ years of experience with modern cloud and data technologies such as AWS, Amazon Bedrock, SageMaker, Databricks, or Kubernetes.
- Strong foundational knowledge of generative AI, transformers, LLM fine-tuning, search and ranking, retrieval-augmented generation (RAG), and LLM-based agents.
- Experience tuning neural networks using custom datasets and developing or improving machine learning models.
- Hands-on experience with technologies and frameworks such as Hugging Face, LangChain, and chatbot development platforms.
- Strong programming and analytical capabilities, particularly with Python and tools such as PyTorch, Pandas, NumPy, and Scikit-learn.
- Ability to analyze complex technical systems, identify root causes, and translate AI capabilities into practical, scalable products.
- Strong collaboration and communication skills, with the ability to work effectively across technical and non-technical teams.
- A high degree of ownership, precision, curiosity, and drive, combined with enthusiasm for building innovative products and creating meaningful customer impact.
- A growth-oriented and optimistic mindset, with a willingness to learn quickly and adapt in a fast-changing AI and technology environment.
- Experience with every listed technology is not required; strong candidates who are passionate about the mission and bring relevant transferable experience are encouraged to apply.
Benefits:
- Base salary range of $184,500–$217,100 per year, depending on factors such as location, knowledge, skills, and experience.
- Potential additional compensation, including sign-on bonuses, equity grants, and discretionary cash bonuses.
- Comprehensive benefits package supporting employees and their families.
- Medical and other health-related benefits, including healthcare coverage.
- 401(k) eligibility with matching.
- Flexible work location, working hours, and paid time off.
- Monthly account contributions and family-oriented financial benefits.
- Access to mindfulness and financial wellness resources, including Headspace and Addition Wealth.
- Career development opportunities through ongoing training, development plans, coaching, and an online learning platform.
- Leadership development opportunities through an emerging-leaders program.
- Community week on-site gatherings and a range of virtual team events.
- Opportunity to work remotely within a remote-first environment alongside talented and motivated colleagues.
- Meaningful work focused on using technology and AI to improve financial wellness and solve large-scale societal challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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