Senior Software Engineer, AI Voice Agent
As a Senior Software Engineer on the AI Voice Agent team, you will work on real-time systems involving live audio streaming and latency optimization integrated with speech providers. You will build and improve conversation intelligence systems that manage LLM layers, including prompt construction, context management, function calling, and dialogue management to create natural, actionable phone conversations. You will develop the action framework allowing configurable API calls with branching logic and runtime execution, supporting tasks like data lookup and ticket creation during calls. You'll manage knowledge ingestion, storage, and retrieval to enhance agent memory and learning over time. You will collaborate with designers to enable customers to create, configure, test, and deploy voice agents through intuitive product experiences. Additionally, you will help develop evaluation frameworks, analytics, call quality metrics, and monitoring instrumentation, and participate in on-call rotation duties.
Member of Technical Staff (Data): World Models
Design, automate, maintain, and optimize Python ETL pipelines (Spark/Ray) for large-scale multimodal data. Build and maintain data cataloging, lineage, quality tooling, integrity verification, access controls, and lifecycle management systems. Provide guidance, internal tools, and documentation to colleagues on data best practices. Serve as a custodian of the company’s datasets, ensuring overall data health, quality, and discoverability.
Statistics & Python Expert - Freelance AI Trainer
Contributors design original computational statistics problems that simulate real mathematical research workflows and create problems requiring Python programming using libraries such as Numpy, SciPy, and Sympy. They ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications from mathematical practice, verify solutions using Python with standard mathematical libraries, and document problem statements clearly with verified correct answers.
Agentic Solution Engineer
Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for customers' end users. Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients' use cases. Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.
Freelance Junior Journalist - AI Trainer
As an AI Trainer - Junior Journalist, your work involves helping to train AI models by crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. Contributors may craft original, clear, and fact-checked responses based on project guidelines, generate prompts that challenge AI, define comprehensive scoring criteria to evaluate the accuracy of the AI's answers, and follow style and quality standards to ensure consistency.
Research Intern – Reinforcement Learning (RL)
Design and build reinforcement learning environments that model real-world customer interaction workflows. Design reinforcement learning agents that learn from these environments using real-world interaction data, rewards, and feedback loops. Define reward models and feedback loops using real-world signals (outcomes and human feedback). Enable learning from production data by structuring interaction traces into training-ready datasets for offline and online learning. Experiment with multi-agent systems and simulation frameworks for complex coordination and decision-making. Collaborate with engineering and product teams to deploy, evaluate, and iterate on learning systems in production at scale.
Technical Lead Manager, Platform (India)
Lead the design and development of low latency, scalable, and reliable model inference and serving stack for SSM foundation models. Manage and mentor a team of platform engineers maintaining a high technical bar and strong engineering culture. Work closely with research and product teams to translate research into products. Own the architecture and roadmap for model serving infrastructure, distributed systems, and data processing platforms. Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training. Drive execution across ambiguous, zero-to-one engineering projects and platform initiatives. Establish best practices for reliability, observability, scalability, and performance across platform systems. Help recruit, interview, and build the engineering team in India. Have significant autonomy to shape the platform and impact how AI is applied across devices and applications.
Senior Software Engineer, Developer Experience (DevEx)
As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You will develop and scale a world-class developer platform to accelerate Harvey's growth, boosting velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments. You will build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. You will pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment, and maintenance lifecycle. You will collaborate with Backend Platform teams to embed testability, reliability, and observability into the platform, ensuring services built on the foundation are robust, easy to test, and maintain. You will work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality—empowering every Harvey engineer to move fast with confidence. You will also set the strategic direction and roadmap for scaling developer experience as Harvey expands, contribute strategically to team decision-making, and provide strong technical leadership and mentorship to uphold a high bar for engineering excellence across the team.
Senior Data Engineer
The Senior Data Engineer at HackerOne is responsible for leading the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions to support the company's transformation into an AI-first organization. This role involves partnering across business and engineering teams to identify opportunities for automation, integration, and system modernization, driving the architecture and execution of platform-level capabilities by leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience. The engineer will provide technical leadership to internal engineers and external development partners to ensure design quality, operational excellence, and long-term maintainability, shape and contribute to incident and on-call response strategies, playbooks, and processes to build systems that fail gracefully and recover quickly, mentor other engineers and advocate for technical excellence, and promote a culture of innovation and continuous improvement. Additionally, the role includes championing effective change management to ensure systems are successfully launched, adopted, understood, and evolved.
Electrical Engineer & Python Expert - Freelance AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Access all 4,256 remote & onsite AI jobs.
Frequently Asked Questions
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.