Principal Engineer - India
at Juniper Square · 501-1000 employees
Equity · Sep 2025
- Seniority
- Staff Principal
- Work model
- Hybrid
- Employment
- Full Time
- Location
- India
- Posted
- 25d ago
javascriptpythonreactgraphqlpostgresmysqlawskubernetesdockerllm
at Juniper Square · 501-1000 employees
Juniper Square provides a connected private markets platform for GPs and LPs, offering fund administration, reporting, investor relations, treasury, compliance, and AI-enabled system-of-record and workflow automation.
ABOUT JUNIPER SQUARE Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come. Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/ operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. ABOUT YOUR ROLE As a Principal Engineer, you will drive the team’s technical direction and play a pivotal role in designing and architecting accounting software systems. This role involves mentoring team members, solving complex technical challenges, and delivering hands-on contributions as a full-stack leader. You will work closely with engineers and cross-functional partners across Product, Design, and Quality Assurance to expand system capabilities. Your leadership will be instrumental in achieving the team’s objectives and advancing our technical vision. WHAT YOU'LL DO Own Technical Direction and Architecture - Set the technical direction for AI systems, including shared AI SDKs, guardrails, evaluation frameworks, feedback systems, and agentic workflow infrastructure - Own architecture and technical strategy for complex backend and AI platform systems, from design through production - Lead technical design for ambiguous, cross-functional initiatives, evaluating tradeoffs, aligning stakeholders, and driving implementation - Evaluate and select technologies with a bias toward what ships well and scales sustainably Build and Operate AI Systems - Write production code as a hands-on individual contributor; this is not a role that delegates implementation to others - Design and operate LLM-powered systems, including RAG pipelines, agentic workflows, evaluation infrastructure, guardrails, and model observability - Own end to end reliability of AI systems, from design through structured output delivery - Define quality benchmarks Champion AI Native Development - Champion and embed AI native development practices and tools, such as Cursor and Augment, to drive meaningful productivity gains across the team - Foster a culture of rapid iteration, high velocity, and quality, including guiding the effective use of AI code generation - Bring strong, informed opinions on how to get the most from AI-assisted development while maintaining reliability and correctness Lead and Grow the Team - Mentor engineers, raise the quality of technical decision making, and help the team execute with consistency - Establish coding standards, review practices, and architectural documentation that scale as the team grows - Help define what “good” looks like for a team building at speed without sacrificing quality - Partner with recruiting to build and grow the team Collaborate Cross Functionally - Work closely with Engineering Managers, Product, Design, and QA to translate requirements into executable technical plans - Participate actively in design reviews and roadmap discussions with a grounded, implementation-level perspective - Handle most cross-team conflicts and technical decisions autonomously AI FLUENCY - Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases introduced by AI-assisted development - Experience building and shipping production-grade software using AI-assisted workflows across the full SDLC - Hands-on experience developing or integrating LLM-powered systems, such as agents, copilots, tool-using workflows, or multi-step reasoning systems - Familiarity with patterns such as tool calling agents, planning and execution loops, and retrieval augmented generation (RAG) - Demonstrated ability to leverage modern AI tools to improve development velocity, code quality, and problem-solving - Experience contributing to AI-powered features, such as intelligent search, conversational interfaces, recommendations, and automation - Working knowledge of LLMs, embeddings, semantic search, and RAG pipelines - Ability to identify and evaluate opportunities to integrate AI capabilities into products and workflows QUALIFICATIONS - Bachelor’s degree in Computer Science or equivalent work experience - 13 to 17 years of experience in software development across building, integration, security, and arc