Why Us
We are building AI powered agents that bring RoI based impact to enterprise. We help customers track the impact of their AI spend.
In cases where customers cannot get impact from their AI investments we offer pre-built, customizable agents all adaptable to their own playbooks and tools, deployable in minutes not months. Further, we allow teams to build their own agents rather than relying on others to build them- this means you will be building the last piece of software using AI agents.
Location: Gurgaon (On-Site)
Work Hours: PDT-aligned, 01:00 PM - 10:00 PM (IST)
Joining Preference: Immediate joiners preferred
Salary Budget: upto INR 45 LPA
Tech stack :
- Building on top of Azure AI and other cloud technologies
- Understanding of React, Django, FastAPi, vLLM
- Deep understanding of Agentic AI implementation of tools, MCP and Opentelemetry.
- Languages : Python, C#/Java, TypeScript
Key differentiators:
- Custom agents in plain English: Build tools—without coding—that follow your judgment and precedents.
- Transparent reasoning: Every AI recommendation comes with confidence scores and explainable logic.
- Deep legal workflow integration: Including Microsoft Word add-ins for seamless redlining, risk analysis, and playbook management.
Join us to help deliver the last piece of legal tech for in-house legal teams.
Role Overview:
We're hiring a Tech Lead / Engineering Architect to lead the design, development, and scaling of our AI-native platform.
You will:
- Translate broad customer requirements into scalable, modular engineering components that engineers in a team can execute along with AI coding agents.
- Lead and mentor a team of junior-to-mid-level engineers to build reliable systems with best practices in logging, measurement, observability, and debugging.
- Drive architectural decisions ensuring performance, scalability, and maintainability of core services.
- Champion AI-native development, training engineers to adopt AI tools and workflows to accelerate delivery.
- Collaborate closely with product, design, and legal experts to deliver features customers love and trust.
As an early-stage startup (team of <20), your impact will be direct and highly visible. You'll not only lead engineering execution but also shape culture, standards, and the future of LegalGraph's technical foundation.
What You'll Do:
- Technical Leadership: Break down ambiguous customer needs into clear technical deliverables, architecture, and roadmaps.
- People Management: Coach, mentor, and upskill engineers, with a focus on adopting AI-native workflows and modern engineering practices.
- Execution: Own delivery of core platform components (agent builder, integrations, analytics, debugging tools) from concept to production.
- Quality & Reliability: Ensure systems are built with robust monitoring, error-handling, and performance measurement.
- Collaboration: Partner with product and legal SMEs to co-design solutions and iterate quickly with customer feedback.
- Innovation: Explore, prototype, and integrate cutting-edge AI tooling to continuously improve developer productivity and product capabilities.
What You Have (Mandatory):
- 5+ years of experience in software engineering, with at least 2 years leading teams or projects.
- Proven ability to translate product/market requirements into technical architectures.
- Strong coding and system design experience (SaaS or enterprise-scale preferred).
- Experience managing, mentoring, and growing junior/mid-level engineers.
- Fluency in building scalable systems with logging, monitoring, and debugging best practices.
- Familiarity with AI/LLM-powered workflows and willingness to train others on adoption.
- Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats.
Bonus Points:
- Hands-on experience with AI-native development (LangChain, CrewAI, RAG systems, LLM evaluation).
- Early-stage startup experience scaling teams from 0 → 20 engineers.
- Strong background in enterprise SaaS, legal tech, or workflow automation platforms.
- Familiarity with security, compliance, and privacy laws (GDPR, CCPA, DPDPA).
Compensation & Culture:
- Best-in-class early-stage package: equity + competitive salary.
- Small team (20 people max) = high visibility, high ownership.
- Inclusive, mission-driven culture: we value diversity, collaboration, and curiosity.
