AI Engineer
Design, build, and deploy AI agents that automate complex business processes using various LLMs. Own the end-to-end delivery of AI solutions from initial prototyping to production-ready software.
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Design, build, and deploy AI agents that automate complex business processes using various LLMs. Own the end-to-end delivery of AI solutions from initial prototyping to production-ready software.
Architect and build high-performance backend microservices in Go to power a next-generation real-time communication platform. Optimize real-time voice pipelines and manage high-concurrency SIP traffic with carrier-grade reliability.
Design, build, and operate the AI storage layer for large-scale GPU infrastructure across edge and core deployments. Optimize storage throughput and latency for distributed inference, fine-tuning, and training workloads.
The software developer will design, develop, and support web-based enterprise applications while collaborating with scrum teams to meet project milestones. Responsibilities include conducting code reviews, performing automated testing, and working with technical support to resolve customer issues.
The Digital Transformation Innovation Engineer will prototype and deliver next-generation digital capabilities, including cloud-based data architectures and AI-driven automation for satellite communications. They will collaborate across engineering and business teams to architect scalable solutions that improve operational effectiveness and mission outcomes.
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Lead the design and implementation of complex, secure, and scalable AWS solutions while acting as a trusted advisor to public sector customers. Collaborate with stakeholders to gather requirements, propose migration strategies, and provide technical guidance throughout the project lifecycle.
Manage the full sales cycle for enterprise accounts, from sourcing opportunities to closing contracts. Collaborate with internal partners and technical stakeholders to deliver value and remove friction from complex deals.
Develop and implement AI agents and automation to optimize internal engineering workflows and customer-facing delivery processes. Collaborate with cross-functional teams to identify high-leverage opportunities and integrate AI solutions into existing infrastructure.
You will design and implement production-grade AI solutions, including conversational agents and RAG systems, to solve complex business and product challenges. You will also be responsible for measuring and optimizing these AI systems for reliability, latency, and cost-efficiency.
Build and deploy production-ready AI experiences including conversational agents, RAG systems, and intelligent automation. Translate ambiguous product problems into scalable, secure, and cost-efficient AI services using a variety of LLMs and backend technologies.
Lead the FinTech engineering team by setting technical direction, reviewing code, and managing the development of lending and payment services. You will write production code while delegating features to autonomous AI agents and ensuring the platform meets high standards for reliability and compliance.
The Software Chief Engineer serves as the senior technical authority, ensuring the integrity, coherence, and standardization of software across all flight and ground programs. This role involves setting the technical roadmap, resolving complex cross-cutting technical issues, and mentoring engineering leads to drive architectural excellence.
You will lead the deployment of frontier AI models to address complex cybersecurity challenges, including threat detection and vulnerability analysis. Additionally, you will manage technical delivery, mentor team members, and collaborate with stakeholders to ensure project success.
You will build, evaluate, and deploy AI solutions for cybersecurity challenges, including threat investigation and detection engineering. You will also own technical deliverables, collaborate with client teams, and contribute to architecture and documentation.
You will build, optimize, and maintain robust back-end systems to support financial operations such as tax calculations, VAT processing, and invoicing. Additionally, you will collaborate with product managers and stakeholders to drive technical initiatives and ensure high-quality, scalable code delivery.
Design, build, and maintain internal developer tooling and infrastructure to improve engineering productivity and reliability. Lead complex technical initiatives end-to-end while collaborating with cross-functional teams to reduce friction and improve velocity.
Lead a high-performing engineering team to develop and implement advanced AI solutions, including LLM-powered decision automation and fraud detection. Define technical vision, establish governance frameworks, and partner with stakeholders to align engineering roadmaps with business priorities.
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Lead and grow a high-performing engineering team while driving the execution and reliability of the Payments Platform. Partner with cross-functional stakeholders to define technical strategy, manage roadmaps, and ensure operational excellence.
Provide technical leadership for AI engineering and SDLC automation to improve developer productivity and software delivery. Design and deliver engineering tools, agentic workflows, and copilots while establishing standards for responsible AI use.
You will architect, design, and maintain native macOS application features and cross-platform C++ core libraries. Additionally, you will lead the optimization of software for Apple Silicon and manage complex CI/CD pipelines and build configurations.
Design and develop scalable, secure blockchain infrastructure and manage the full lifecycle of transactions. Collaborate with cross-functional teams to build production-grade DeFi solutions and ensure system resiliency and operational excellence.
Develop and execute scripts to extract, transform, and validate data for migration from legacy systems to SAP S/4HANA. Collaborate with functional teams and clients to perform mock loads, troubleshoot data issues, and ensure successful cutover migrations.
You will work directly with pharmaceutical customers to design, prototype, and deploy AI-powered solutions that address complex technical and business workflows. This involves translating ambiguous requirements into clear technical architectures and collaborating across engineering and product teams to ensure successful production deployments.
The Data Consultant will design, build, and maintain scalable ETL pipelines and data infrastructure to support client needs. They will collaborate with cross-functional teams to ensure high-quality data delivery and solve complex data challenges.
Lead the technical solution cycle from discovery to close by collaborating with sales teams and partners to address institutional challenges. Develop and present tailored demonstrations of Salesforce solutions, including Agentforce and AI-driven tools, to drive institutional innovation and value realization.
Lead discovery calls and technical product demonstrations to translate complex grid and energy-market problems into actionable solutions. Act as the primary technical voice in customer meetings and represent the company at industry conferences.
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You will design, develop, and maintain end-to-end web applications using modern JavaScript frameworks and backend technologies. Additionally, you will collaborate with cross-functional teams to gather requirements, conduct testing, and mentor junior developers.
You will build and productionize AI systems, including LLM pipelines, agents, and real-time voice systems. Additionally, you will design evaluation suites and maintain backend infrastructure to ensure reliable, scalable AI products.
The Engineering Manager will lead the AI Transformation team, overseeing the architecture, delivery, and operational health of AI solutions including agents and LLM integrations. They are responsible for coaching the engineering team, managing performance, and partnering with business units to align AI delivery with strategic outcomes.
You will advise enterprise customers on agent architecture and evaluation strategies while co-building production-ready AI systems. This role involves embedding within customer teams to ship agent solutions and managing the full Agent Development Lifecycle.
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