Company overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies' management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI. Accordion is headquartered in New York City with 10 offices worldwide, including the India office based out of Hyderabad. Join us and make your mark on our company. Data & Analytics Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion's future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Join us and experience a better way to work! Location: Hyderabad, Telangana Role Overview Accordion is looking for experienced AI Engineers to join our new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations. You will work with clients and cross-functional delivery pod teammates contributing to the design, development and maintenance of AI solutions that address complex business challenges for clients globally and continuously raise the bar on what AI-assisted delivery looks like. In this role, you will be actively involved in AI solution architecture design, work hands-on with large language models, RAG pipelines, and multi-agent frameworks, contribute across the MEAN/MERN stack and guide a team of Associates — gaining practical depth across the full AI product engineering lifecycle, from discovery through production. What You will do: Propose AI solution architecture to ensure solutions are scalable, secure, and aligned with engineering standards Build and iterate on Generative AI features — encompassing prompt engineering, RAG pipelines, and multi agent workflows using AI orchestration frameworks Integrate large language models into enterprise applications, ensuring reliable data flow and seamless compatibility with existing systems and data sources Develop prototypes and proof of concepts to validate AI solutions, iterating on models based on stakeholder feedback prior to full-scale implementation Write and execute regression evaluation suites for LLM-based features, ensuring output quality and consistency across releases Build observability and evaluation infrastructure to continuously improve production AI system quality Monitor AI pipelines and application components using observability platforms; proactively identify, investigate, and escalate issues before they impact delivery Develop and maintain web applications using the MEAN or MERN stack (MongoDB, Express.js, Angular or React.js, Node.js) on Azure and AWS platforms Write clean, well-structured, and testable code in Python and JavaScript/TypeScript, adhering to REST API design principles and established engineering standards Debug and resolve production issues within sprint timelines, documenting root cause analysis and resolution steps clearly Maintain technical documentation, API specifications, and CI/CD pipeline integrity Guide and mentor Associates within the pod, conducting code reviews, sharing knowledge, and supporting their technical development Write product requirement documents (PRDs), user stories, and functional specifications to translate engagement goals into clearly scoped development tasks Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes Present and defend architectural decisions to technical and non-technical audiences Lead sprint ceremonies — planning, standups, and retrospectives — ensuring pod velocity is maintained and blockers are surfaced and resolved promptly Drive working sessions and demonstrations, articulating the features built and translating stakeholder feedback into well-defined user stories and development tickets Communicate workstream outcomes clearly and consistently to internal stakeholders, and actively participate in cross-functional working sessions Ideally, you have: Undergraduate degree (B.E./B.Tech.) in Computer Science, Information Technology, or a related engineering discipline; candidates from tier-1 or tier-2 institutions are preferred 4-8 years of overall software development experience, with a demonstrable track record of building and delivering production-grade applications A minimum of 1-2 years of hands-on experience designing and developing Generative AI applications — including LLM integration, RAG pipeline development, multi agent workflows and evaluation frameworks; equivalent depth through projects or academic work will be considered, given the emerging nature of the field Strong understanding of AI orchestration and agent frameworks, and core RAG principles including chunking strategies, embedding models, and experience with vector databases and semantic retrieval pipelines Experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks A minimum of 4 years of hands-on experience with the MERN or MEAN stack — MongoDB, Express.js, React.js or Angular, Node.js — with multiple deployed projects across the full development lifecycle Proficiency in Python for AI and SQL for data querying; working knowledge of JavaScript/TypeScript for full-stack development Experience in developing collaborative development workflows using Git and GitHub or GitLab, including branching strategies and pull request reviews; experience with CI/CD pipelines Familiarity with cloud-native AI services, containerization using Docker, and exposure to microservices architecture and event-driven integration patterns Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines Proven ability to define and own technical architecture for full engagements — selecting frameworks, designing integration patterns, and making defensible architectural decisions without supervision Comfortable using AI productivity tools daily to accelerate research, writing, and coding tasks; candidates should be able to demonstrate tangible productivity gains from their use Demonstrated ability to guide and mentor junior engineers through code reviews, technical discussions, and structured knowledge sharing Strong learning agility and the ability to operate effectively in a collaborative, sprint-driven delivery environment with high client expectations Familiarity with enterprise business applications and workflows; domain knowledge in any industry vertical will be viewed favorably Why Explore a Career at Accordion A Culture of Impact & Excellence A culture of merit & recognition: Thrive in a meritocratic, high-growth environment with semi-annual performance and promotion cycles. Multi-dimensional exposure: Navigate complex, high stakes workstreams across diverse industries and domains. At Accordion, you will engage with varied intellectual challenges that keep your perspective sharp, and your curiosity fuelled. Entrepreneurial environment: Exercise the intellectual freedom to make definitive decisions and the autonomy to own their outcomes. We reward initiative, encouraging you to expand your influence and assume larger responsibilities. Collaborative vitality: Experience a non-bureaucratic, high-energy culture alongside high-calibre peers. Our environment is designed to challenge your thinking and accelerate your growth through shared expertise and collective ambition. Our Commitment to Your Well-being We believe that our collective success is rooted in the personal well-being and growth of our people. We have curated a suite of benefits designed to support you and your family's health, celebrate your milestones, and empower your professional journey. Comprehensive health & security: We provide fully covered Health and Group Term Life Insurance for you, with health insurance coverage extending to your immediate family. Care on your terms: Access expert medical guidance through on-site health camps or our integrated tele-health services. This ecosystem includes free professional consultations alongside discounted healthcare services including dental and vision care. Integrated family support: We support working parents with a fully sponsored, premium on-site Day Care facility. Empowering leave structures: Our robust leave policy is an intentional commitment to work-life integration, featuring dedicated maternity and parental support designed to help new parents through life's major transitions. A culture of recognition: We believe every breakthrough deserves an audience. Through our dedicated rewards platform, we pause to celebrate both your professional triumphs and your most meaningful personal milestones. Architecting your growth: Thrive in a positive & transparent environment designed for the continuous evolution of your craft. We provide the infrastructure - through learning programs and engagement initiatives - to bridge the gap between your personal aspirations and professional mastery.
