AI Full-Stack Engineer Jobs

View detail

As a Lead Engineer at Eloquent AI, you will lead the development of AI-powered full-stack applications while overseeing and mentoring other engineers. You will remain hands-on across the stack, take ownership of technical direction, code quality, and delivery standards. Responsibilities include designing and building full-stack applications that power AI-driven workflows for enterprise users, overseeing and reviewing the work of other engineers to ensure high-quality, production-ready code, providing technical guidance, architectural direction, and hands-on support where needed, developing high-performance front-end interfaces for AI agent control, monitoring, and visualization, building scalable backend services that support real-time AI interactions, knowledge retrieval, and automation, working closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems, establishing engineering best practices across testing, deployment, and performance optimisation, and continuously iterating and refining AI-driven products balancing speed with robustness.

View detail

As a Full-Stack Product Engineer at Ideogram, you will build products that integrate generative AI directly for creators, working across the entire technology stack to create delightful user experiences and optimize backend systems that serve millions. Responsibilities include shipping features that users love, combining product intuition with strong ownership, user empathy, and the ability to move quickly within an evolving AI landscape. You will design APIs and data models to support changing product needs, use AI-native engineering tools to accelerate development and debugging, and take initiative to identify and complete opportunities. The role involves working with minimal direction in a fast-paced environment, taking responsibility for outcomes, collaborating, communicating technical concepts to diverse stakeholders, seeking feedback, pushing for quality in code review, and mentoring others.

View detail

Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks. Develop and enhance robust infrastructure and high-throughput APIs focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security, and workflow management. Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs. Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software. Ensure reliability, monitoring, and observability for all agent components including metrics, logging, CI/CD, and fault tolerance. Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.

View detail

Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks. Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management. Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs. Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software. Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance). Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.

View detail

Lead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments. Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development. Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions.

View detail

Design and deliver production-grade AI agents for healthcare that handle sensitive patient and member interactions while maintaining strict HIPAA compliance. Drive the Agent Development Life Cycle with ownership from pilot through deployment and iteration. Partner with healthcare leaders to understand challenges and build AI agents that address operational needs. Develop expertise in healthcare systems, workflows, and data/privacy standards to create trustworthy AI experiences. Guide and contribute to the evolution of Sierra's core platform based on customer feedback. Examples of projects include building AI agents for insurance networks, providers, primary and urgent care clinics, and healthcare financial platforms, as well as experimenting with voice models for secure interactions.

View detail

Design and deliver production-grade AI agents for healthcare that handle sensitive patient and member interactions while maintaining strict HIPAA compliance. Build and ship highly performant, reliable, and empathetic AI agents that help with understanding coverage, finding providers, scheduling appointments, navigating billing, and more. Have complete ownership and autonomy over the Agent Development Life Cycle from pilot through deployment and continuous iteration, building, tuning, and evolving AI agents in production environments serving healthcare payers, providers, and platforms. Work directly with healthcare leaders including executives and technical teams at health plans, provider networks, and healthcare technology companies to understand and solve their most pressing challenges. Develop deep expertise in healthcare systems and workflows, including integrations across EHR and patient access platforms, payer and provider operations, and healthcare data and interoperability standards. Translate complex healthcare knowledge into trustworthy AI experiences. Use customer insights to guide the evolution of Sierra's core platform by surfacing unmet needs, prototyping new tools and features, and collaborating with research, product, and platform teams to shape the future of AI agent development in healthcare.

View detail

The Engineering Manager, Product at Harvey is responsible for owning end-to-end delivery of core product initiatives, from technical design through execution and iteration, while managing a high-performing fullstack engineering team. This includes setting technical direction for large-scale, AI-powered systems such as retrieval over petabyte-scale document collections, product interfaces for AI collaboration, long-horizon planning agents for critical workflows, government-grade security for sensitive data, evaluation of LLMs across extensive taxonomies, and internet-scale data collection across multiple jurisdictions. They must translate product vision into architecture balancing speed, quality, and scalability, lead hands-on contributions to design, code, and architecture reviews, and actively engage in implementation to unblock the team or solve difficult problems. Additionally, they build and grow the team by hiring engineers, setting technical and behavioral standards, and mentoring for career development. The role involves close partnership with Product, Design, and AI teams to identify opportunities and deliver intuitive user experiences, establishing an engineering culture focused on simplicity, ownership, craftsmanship, and continuous improvement, and aligning execution with company goals to support product strategy and long-term impact.

View detail

As a Senior Software Engineer at Neara, you will design and implement features in one of three engineering groups: Digitisation, Platform, or Design. In Digitisation, responsibilities include developing and measuring algorithmic and machine learning improvements to digital twin extraction, improving monitoring systems to identify extraction errors, and creating tooling to quickly fix problems from automated solutions. In Platform, duties involve developing the internal platform functionality by identifying common abstractions for varied use cases and creating data abstractions that allow users to semantically model and interact with organizational data. In Design, tasks include developing solutions for simulating structural forces on electric networks and their behavior in different weather scenarios, as well as developing CAD-like tools to import engineering designs and integrating lidar and imagery for better simulation outcomes.

View detail

Build internal and customer facing tools used daily to improve AI agent behavior. Drive product features from intuitive React frontends (TypeScript) to robust Python (Django/FastAPI) backends. Build the workflows that allow human-in-the-loop AI to function at peak efficiency. Set the standard for code quality and scalability in a fast-moving, early-stage product environment. Influence product direction, technical standards, and architectural decisions from day one.