Role Description As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Together with a partnering company, we're looking for a strong Software Engineer to build the systems behind an AI agent evaluation platform — systems that test, grade, and stress AI agents at scale, and turn the results into actionable signal about how those agents behave. This is a software engineering role first — designing services, data models, and pipelines that have to be correct, tested, and maintainable — applied to an AI problem domain. You'll work with LLMs regularly, but the core of the job is engineering, not prompt-tuning. What Your Day Might Look Like: - Backend services & APIs: Build and maintain the services, data models, and APIs that power the platform — designed for correctness, testability, and scale. - Simulation & orchestration: Work on the systems that coordinate complex, multi-step interactions between AI agents and external systems, improving their reliability and throughput. - Evaluation & scoring: Design systems that grade agent outputs, combining deterministic checks with model-assisted judgment — and make scoring reliable, explainable, and reproducible. - Data pipelines: Build pipelines that generate, transform, and quality-check large volumes of structured data and benchmark content. - Quality & reliability: Add the tests, instrumentation, and safeguards needed to trust outputs from systems that are inherently non-deterministic. Qualifications - 4+ years building and shipping production software, with strong proficiency in Python. - Deep software engineering fundamentals: system and API design, data modeling, concurrency/async, testing strategy, debugging, and code review. - Experience designing and operating distributed or service-oriented systems (queues, workers, APIs) — not just calling them. - Comfort designing schemas and working with relational databases, plus the migrations and performance concerns that come with them. - Working knowledge of LLM APIs — orchestration, structured outputs, and handling non-determinism. - Ability to reason about correctness of probabilistic systems: how to test, measure, and trust outputs that aren't byte-for-byte deterministic. - High quality bar: you write tests, types, and docs by default, and you keep changes small and reviewable. Requirements - Bonus points for experience building agentic or multi-agent systems, tool-use, or orchestration frameworks. - Background in evaluation / benchmarking of ML or LLM systems (rubrics, golden datasets, model-as-judge, inter-rater reliability). - Experience with distributed task queues and async workloads. - Modern Python tooling and typed codebases (e.g. type checkers, linters, Pydantic, FastAPI). - Retrieval / search experience and working with data ingest pipelines. - Some comfort with the infra side (Docker, CI/CD) so you can ship what you build. Benefits - Competitive salary. - Training budget to level up your skills from top tech partners like Microsoft, AWS, Salesforce, and Databricks – whether it’s certifications or courses, we’ve got you covered. - Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Role Description - Design, develop, and deploy AI Agents and GenAI solutions using frameworks such as LangChain, LangGraph, and Azure AI Foundry for enterprise-grade automation workflows. - Build and maintain Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and LLMs for contextual and accurate AI responses. - Fine-tune large language models using parameter-efficient techniques such as LoRA and QLoRA on domain-specific datasets. - Architect and implement scalable backend services using Python, FastAPI, Node.js, and serverless cloud platforms. - Write clean, optimized, and maintainable code with strong adherence to DSA fundamentals and software engineering best practices. - Participate in technical discussions, code reviews, architecture planning, and design reviews to maintain engineering quality standards. - Collaborate with product managers, business analysts, and stakeholders to translate business requirements into technical implementations. - Optimize LLM cost, performance, and latency through prompt engineering, caching strategies, model selection, and inference optimization. - Develop AI-powered automation workflows integrating enterprise tools such as Jira, Confluence, SAP, and CI/CD systems. - Mentor junior engineers and contribute to internal knowledge sharing through documentation, technical sessions, and collaborative discussions. - Participate in sprint planning, stand-ups, sprint reviews, and Agile development processes. - Stay updated with emerging trends in Generative AI, Agentic AI systems, LLM architectures, and cloud-native AI tooling. Qualifications - Strong proficiency in Python and at least one additional programming language, such as JavaScript or TypeScript. - Hands-on experience with GenAI frameworks, including LangChain, LangGraph, Hugging Face, or equivalent technologies. - Strong expertise in Data Structures & Algorithms (DSA), including arrays, strings, linked lists, stacks, queues, trees, graphs, recursion, sorting, searching, hashing, and dynamic programming. - Ability to solve algorithmic and problem-solving challenges with optimized approaches and a clear understanding of time and space complexity using Big-O notation. - Hands-on experience solving coding problems similar to LeetCode medium-level questions as part of technical assessments and interviews. - Strong understanding of selecting optimal solutions and explaining trade-offs between multiple approaches. - Experience building and deploying Retrieval-Augmented Generation (RAG) systems. - Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or Cosmos DB. - Strong understanding of REST APIs, backend architecture, and scalable system design principles. - Foundational knowledge of scalable system design concepts including caching, load balancing, distributed systems, concurrency, and performance optimization. - Experience with cloud platforms such as AWS (Lambda, S3, EventBridge) and/or Azure (Functions, AI Foundry, Blob Storage). - Working knowledge of databases, including MongoDB, MySQL, Redis, and PostgreSQL. - Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git workflows. - Understanding of prompt engineering, LLM optimization, embeddings, and AI orchestration workflows. - Knowledge of system scalability concepts including caching, load balancing, distributed systems, and performance optimization. Requirements - Strong analytical and problem-solving capabilities. - Excellent verbal and written communication skills. - Ability to explain complex AI concepts to technical and non-technical stakeholders clearly and confidently. - Strong collaboration and teamwork abilities in distributed and cross-functional environments. - Attention to detail with a quality-focused engineering mindset. - Strong ownership, accountability, and a proactive learning attitude. Preferred Skills - Experience with MCP (Model Context Protocol) and multi-agent orchestration systems. - Exposure to mobile application development using Flutter. - Familiarity with enterprise integrations such as SAP, Salesforce, and RPA tools. - Experience with prompt evaluation and observability frameworks such as LangSmith or Promptfoo. - Exposure to microservices architecture and event-driven systems. - Experience contributing to open-source AI/ML projects or writing technical blogs. - Understanding of AI security, responsible AI practices, and governance principles. Other Relevant Information - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. - DSA and algorithmic problem-solving skills will be considered primary evaluation criteria in the first round of interviews. Candidates are expected to demonstrate strong coding proficiency, optimization skills, and clear problem-solving approaches. - 3–5 years of professional software engineering experience with at least 1–2 years focused on GenAI or LLM-based applications. - Experience working on enterprise-scale AI systems and cloud-native applications is highly desirable. - Flexible hybrid/remote working arrangement. - Opportunity to work on cutting-edge GenAI and Agentic AI projects with real-world impact. - Collaborative and learning-oriented engineering culture with regular tech talks and innovation initiatives. - Competitive compensation, health benefits, and professional development support. - Access to the latest AI tools, cloud credits, and research resources. - This role offers the flexibility of working remotely in India.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role - you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role - you will be in front of customers regularly and are expected to travel up to 25% of the time. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5-8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges - leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success - and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts - architecture diagrams, solution proposals, SOWs - tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude - equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 5+ years of experience in a customer-facing technical role - Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns - and thoughtful about how to apply them to build reliable, scalable solutions For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Role Description This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy. You will build scalable and innovative solutions that directly influence patient outcomes and business operations. As part of a highly collaborative environment, you will take end-to-end ownership of AI initiatives and play a key role in defining how intelligent systems are embedded across the organisation. We look for someone who combines strong software engineering background with applied AI expertise and enjoys turning ambitious ideas into reliable real-world solutions. Qualifications - Strong experience in building production-grade Machine Learning and Generative AI solutions, with a focus on production-ready systems - You enjoy working at the intersection of technology, healthcare, and business impact - A mindset of ownership and curiosity, with a drive to explore new AI innovations - You value collaboration and don’t like solving complex challenges on your own Requirements - Design, build and evolve scalable ML and generative AI systems that deliver measurable value in customer-facing and operational use cases - Develop robust end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement of AI solutions in production - Collaborate closely with product, engineering, data, and business stakeholders to bring AI capabilities into core digital healthcare systems and operations - Explore and implement cutting-edge AI advancements to continuously enhance innovation and solution effectiveness - Take ownership as AI Technical Owner, shaping the technical roadmap and driving the full AI lifecycle across strategic initiatives - Contribute to and adhere to our governance, experimentation, model quality, versioning, observability, and compliance practices in a regulated environment Benefits - Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. - Personal development: Grow! We support and encourage your individual development through various in- and external trainings. - Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties. - Corporate pension plan: We offer a company pension scheme and have a dedicated external consultant to offer you the best guidance and advice. - Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.