Data & Analytics Professional

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Lead AI Engineer Artificial Intelligence

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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.