A

Accordion

Finance-focused consulting with portfolio operations technology

Lead AI Engineer - Artificial Intelligence

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • An undergraduate degree (B.E./B.Tech.) in Computer Science, Information Technology, or a related engineering discipline is described as ideal; 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.
  • At least 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 is considered.
  • Strong understanding of AI orchestration and agent frameworks, and core RAG principles, including chunking strategies and embedding models, with experience using vector databases and semantic retrieval pipelines.
  • Experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks.
  • At least 4 years of hands-on experience with the MERN or MEAN stack—MongoDB, Express.js, React.js or Angular, and Node.js—with multiple deployed projects across the full development lifecycle.
  • Proficiency in Python for AI and SQL for data querying, with working knowledge of JavaScript/TypeScript for full-stack development.
  • Experience developing collaborative workflows using Git and GitHub or GitLab, including branching strategies and pull request reviews, and experience with CI/CD pipelines.
  • Familiarity with cloud-native AI services, Docker containerization, microservices architecture, and event-driven integration patterns.
  • Strong grasp of evaluation methodologies, including designing evaluations, catching regressions, and assessing LLM output quality.
  • Solid data engineering fundamentals, including ETL design, SQL/NoSQL, vector databases, and streaming or batch pipelines.
  • Ability to define and own technical architecture for full engagements, select frameworks, design integration patterns, and make defensible architectural decisions without supervision.
  • Comfort using AI productivity tools daily to accelerate research, writing, and coding, and ability to demonstrate tangible productivity gains from their use.
  • Ability to guide and mentor junior engineers through code reviews, technical discussions, and structured knowledge sharing.
  • Familiarity with enterprise business applications and workflows; domain knowledge in an industry vertical is viewed favorably.

Responsibilities

  • Propose AI solution architecture to ensure solutions are scalable, secure, and aligned with engineering standards.
  • Build and iterate on Generative AI features, including prompt engineering, RAG pipelines, and multi-agent workflows using AI orchestration frameworks.
  • Integrate large language models into enterprise applications, ensuring reliable data flow and compatibility with existing systems and data sources.
  • Develop prototypes and proof of concepts to validate AI solutions, iterating on models based on stakeholder feedback before full-scale implementation.
  • Write and execute regression evaluation suites for LLM-based features to ensure 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; identify, investigate, and escalate issues before they impact delivery.
  • Develop and maintain web applications using the MEAN or MERN stack on Azure and AWS platforms.
  • Write clean, well-structured, testable code in Python and JavaScript/TypeScript, following REST API design principles and established engineering standards.
  • Debug and resolve production issues within sprint timelines, documenting root-cause analysis and resolution steps.
  • Maintain technical documentation, API specifications, and CI/CD pipeline integrity.
  • Guide and mentor Associates within the pod, conduct code reviews, share knowledge, and support their technical development.
  • Write product requirement documents, 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, including planning, standups, and retrospectives, maintaining pod velocity and surfacing and resolving blockers promptly.
  • Drive working sessions and demonstrations, explain features built, and translate stakeholder feedback into well-defined user stories and development tickets.
  • Communicate workstream outcomes clearly and consistently to internal stakeholders and participate in cross-functional working sessions.

Desired Qualifications

  • Equivalent depth in Generative AI application development through projects or academic work is considered in place of the stated experience, given the emerging nature of the field.
  • Candidates from tier-1 or tier-2 institutions are preferred.
  • Domain knowledge in any industry vertical is viewed favorably.

About the Company

Accordion

Finance-focused consulting with portfolio operations technology

Accordion partners with private equity firms to drive value creation through financial consulting services and portfolio operations technology. The core offering combines hands-on support in the Office of the CFO with a technology platform called Maestro, which institutionalizes a private equity firm’s approach to value creation across the finance function. How it works: a team of consultants works alongside sponsor management to execute initiatives across finance processes, using Maestro to standardize and scale the PE value-creation playbook. What sets Accordion apart: it is the only firm focused exclusively on the CFO function within private equity, pairing dedicated execution expertise with a proprietary platform that codifies portfolio operations best practices. Its goal is to help private equity sponsors achieve flawless execution across portfolios, shaping a new era in private equity through disciplined, measurable value creation.

Company size
1,001-5,000
Company stage
Pre-seed
Total funding
$25K
Headquarters
New York City, New York
Founded
2009

Recently Posted Jobs

Explore more opportunities at Accordion

See more jobs