Role Description The Senior AI Engineer owns Lena's reasoning layer end-to-end: retrieval, grounding, evaluation, and the boundary between AI suggestions and governed actions. - Designing and improving RAG pipelines for grounding Lena's diagnostic reasoning in structured operational telemetry, device state, and product documentation. - Building evaluation harnesses that measure groundedness, hallucination, refusal calibration, and action accuracy on every release. - Setting the boundary between Lena's probabilistic reasoning and the platform's deterministic action layer — what she's allowed to do, when, and under what audit. - Owning AI cost and latency budgets per workflow. - Partnering with backend (.NET) and platform engineers to land changes safely. Qualifications - 5+ years of ML / applied AI engineering experience. - Experience building and shipping production LLM systems (RAG, agents, structured outputs, evaluations) at a B2B SaaS company. - Ownership of a production RAG system end-to-end. - Experience building evaluation pipelines that ran on every release and caught real regressions. - Experience working at a growth-stage AI-native SaaS company where AI was the primary product. Requirements - 5+ years in machine learning engineering, or 5+ years combined across ML and applied AI systems. - 2+ years building and shipping LLM-powered systems in a growth-phase AI SaaS company where AI was the product, not a side feature. - Hands-on experience with RAG systems including vector databases, embedding tuning, and retrieval optimization. - Experience building evaluation pipelines for LLM performance, hallucination, and reliability in production. - Strong Python with production-level ML system implementation. - Track record operating under real product constraints: latency, cost, observability, and safety. - Comfortable being accountable for AI behavior in production. Benefits - Flexible / unlimited time off. - Health insurance. - Equity participation, discussed at offer. - Fully remote. - Architectural ownership of work that ships to real enterprise customers. - Direct working relationships with the people setting platform strategy. - A growth-stage platform where the decisions you make in your first year shape the product for years. - AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable).

Role Description We are seeking a highly motivated AI Automation Engineering Intern to support the development and implementation of intelligent automation systems across manufacturing and business operations. This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. - Design and develop AI-driven automation tools to optimize manufacturing workflows - Build scripts and pipelines to automate repetitive engineering and operational tasks - Assist in developing machine learning models for predictive maintenance, quality control, or process optimization - Integrate AI solutions with existing systems (ERP, MES, or internal tools) - Analyze data from manufacturing systems to identify opportunities for automation - Collaborate with cross-functional teams including engineering, IT, and operations - Document processes, code, and system architectures Qualifications - Currently pursuing a degree in Computer Science, Engineering, Data Science, or related field - Experience with programming languages such as Python, JavaScript, or C++ - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) - Basic understanding of automation tools, APIs, or scripting - Strong analytical and problem-solving skills - Interest in manufacturing, robotics, or industrial automation is a plus Requirements - Experience with computer vision or image processing - Exposure to cloud platforms (AWS, Azure, or GCP) - Knowledge of data pipelines, SQL, or data visualization tools Benefits - The compensation for this role is competitive and will be based on experience and qualifications. The anticipated range is $22.00 to $24.00. - For temp, temp-to-hire, and regular full-time positions, our company policy is that we are unable to provide visa sponsorship. Candidates must already be legally authorized to work in the United States without the need for sponsorship now or in the future.

• Design, build, and deploy core application components of EVERSANA’s AI Agency Platform • Develop backend services, APIs, and front-end interfaces • Integrate with third-party systems (Veeva Vault, Salesforce Marketing Cloud, etc.) • Implement orchestration workflows connecting AI agents, compliance services, and data pipelines • Collaborate with AI/ML Engineers for model endpoint integration • Build microservices and APIs supporting multi-tenant scalability • Automate deployments using CI/CD pipelines • Ensure security and compliance adherence with HIPAA, GDPR, and SOC 2

Role Description We are looking for a Staff Engineer in Hyderabad, Pune, or Bengaluru to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences. This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization. Responsibilities - Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld. - Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems. - Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members. - Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features. - Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences. - Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance. - Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers. - AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle. Qualifications - Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications. - Strong full-stack expertise, including domain in: - Frontend: JavaScript, TypeScript - Backend: Javascript, Java, Golang - Explicit mentoring of senior-level engineers regularly, leading to results. - Significant experience in AWS-based cloud architecture environments. - In-depth knowledge of modern software engineering practices, design patterns, and architectures. - Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc). - Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. - Experience designing high-traffic web applications and scalable distributed services. - Demonstrated experience in collaborating with multidisciplinary teams. - Excellent problem-solving and analytical skills. - A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others. - Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences. - Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission. Benefits - Competitive USD Compensation: Enjoy a market-leading rate. - 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed. - Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most. - Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you. - Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services. - Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included). - Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success. - Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.