
Job Overview
Location
India
Job Type
Full-time
Category
Software Engineering
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Own the technical direction and architecture for AI systems including shared AI SDKs, guardrails, evaluation frameworks, and agentic workflow infrastructure.
- • Design and architect complex backend and AI platform systems from initial design through production deployment.
- • Lead technical design for ambiguous, cross-functional initiatives, evaluating tradeoffs, aligning stakeholders, and driving implementation.
- • Evaluate and select technologies with a bias toward solutions that ship well and scale sustainably.
- • Write production code as a hands-on individual contributor; this role does not delegate 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 and enforce quality benchmarks for AI system outputs and performance.
- • Champion AI-native development practices by embedding tools like Cursor and Augment to drive productivity gains across the engineering team.
- • Foster a culture of rapid iteration, high velocity, and quality by guiding effective use of AI-assisted code generation.
- • Bring informed opinions on maximizing AI-assisted development while maintaining system reliability and correctness.
- • Mentor engineers to 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.
- • Define what "good" looks like for a team building at speed without sacrificing quality.
- • Partner with recruiting to build and grow the engineering team.
- • Collaborate closely with Engineering Managers, Product, Design, and QA to translate requirements into executable technical plans.
- • Actively participate in design reviews and roadmap discussions with an implementation-level perspective.
- • Autonomously resolve most cross-team technical conflicts and decisions.
- • Critically evaluate AI-generated code and outputs to identify failure modes, regressions, and edge cases introduced by AI-assisted development.
- • Have hands-on experience building and shipping production-grade software using AI-assisted workflows across the full software development lifecycle.
- • Develop or integrate LLM-powered systems such as agents, copilots, tool-using workflows, or multi-step reasoning systems.
- • Apply patterns including tool calling agents, planning and execution loops, and retrieval augmented generation (RAG).
- • Leverage modern AI tools to improve development velocity, code quality, and problem-solving.
- • Contribute to AI-powered features such as intelligent search, conversational interfaces, recommendations, and automation.
- • Maintain working knowledge of LLMs, embeddings, semantic search, and RAG pipelines.
- • Identify and evaluate opportunities to integrate AI capabilities into products and workflows.
- • Apply expertise in object-oriented programming with Python as the primary language.
- • Develop with front-end technologies including React, CSS frameworks, HTML, and JavaScript.
- • Design and optimize relational databases such as Postgres and MySQL.
- • Work with cloud technologies, preferably AWS, and container technologies including Docker and Kubernetes.
- • Experience with GraphQL and Apollo Server is preferred but not required.
- • Operate effectively in a fast-paced startup environment with flexibility and adaptability.
🎯 Requirements
- • Bachelor’s degree in Computer Science or equivalent work experience
- • 13 to 17 years of experience in software development across building, integration, security, and architecture
- • Expertise in object-oriented programming with Python as the primary language
- • Experience with front-end technologies such as React, CSS frameworks, HTML, and JavaScript
- • Experience with relational databases such as Postgres and MySQL
- • Experience with cloud technologies, preferably AWS, and container technologies such as Docker and Kubernetes
🏖️ Benefits
- • Flexible work arrangements including fully remote or hybrid options
- • Opportunity to work in physical offices in Mumbai and Bangalore
- • Access to digital-first collaboration tools and infrastructure
- • Culture built on transparency, feedback, and diverse perspectives
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Juniper Square, Inc.
Juniper Square is a SaaS provider focused on investment-management software for the private funds industry. Founded in 2014 and headquartered in San Francisco, the platform streamlines fundraising, investor onboarding, capital calls, distributions, reporting, and compliance workflows for real estate, private equity, and venture capital managers. It integrates CRM, document management, e-signature, and analytics into a single cloud system to reduce manual processes and improve transparency. The company serves hundreds of fund sponsors managing tens of thousands of investors and billions in assets under administration.
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