Turing - AI Engineering Lead
Requirements
• 10+ years of software engineering experience with meaningful time in architecture or technical leadership roles. • Deep experience with Java platform architecture (Spring Boot, Spring Security, modern Java) and API design (REST, contract-first, versioning). • Strong understanding of security and audit patterns: OAuth/OIDC, RBAC, API gateway design, data classification, and compliance-aware architecture. • Experience with cloud-native platforms, preferably AKS/Kubernetes, and familiarity with infrastructure-as-code and deployment pipelines. • Proven ability to define and enforce integration patterns across distributed teams—you can set standards without becoming a bottleneck. • Excellent written communication: your ADRs, design documents, and technical proposals are clear, concise, and decision-ready. • A pragmatic mindset: you prefer proven patterns over novel ones, and you optimize for clarity and maintainability over cleverness. • Experience with event-driven architecture and messaging systems (Azure Event Hubs, Kafka, or similar). • Familiarity with workflow orchestration platforms (Temporal or similar) and their architectural implications. • Experience modernizing legacy platforms while maintaining business continuity—especially migrations from monolithic or component-based systems. • Exposure to design reviews and architecture governance in regulated or control-oriented domains (financial services, operations, accounting). • $220k - $300k Total Cash Compensation + equity • Values • Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. • We are client first • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. • We are AI forward: • Advantages of joining Turing • Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Responsibilities
• Solutioning & Lead • Build the technical roadmap given a business requirement and own the delivery of the same. • Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. • Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. • Hands-on skills • Develop LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures. • Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs • Codebase ownership: Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. • Cloud integration: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. • Actively follows the frontier and has differentiated, up-to-date views on model releases, agentic architectures, evaluation methods, tool-use and computer-use patterns, multimodal capability, reasoning/test-time compute trends, and the serious open questions in the field. • Produce a structured, high-signal answer to an open-ended technical or strategic question — while modulating depth for a non-engineering executive audience. • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
Benefits
• Values • Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. • We are client first • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. • We are Al forward: • Advantages of joining Turing • Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) • Competitive compensation • Flexible working hours
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