Founding Engineer, Infrastructure

We're building AI infrastructure for the $50B personal injury legal market.

Every year, millions of injury cases move through the legal system. Attorneys spend weeks reviewing medical records - hundreds of pages per case - to find the critical details that determine case outcomes. It's time-intensive, expensive, and leaves room for human error.

Parambil is solving this with AI.

Our platform transforms medical record review from weeks of manual work into minutes of intelligent analysis. We help attorneys quickly identify key medical facts, surface case-critical details, and build stronger arguments for their clients.

Our traction speaks for itself:

• 10x revenue and customer growth in the past year

• Trusted by leading personal injury law firms and major enterprises (including cruise lines)

• $8M raised from top-tier investors including Bling Capital, NVP, and Daybreak ($6M in our most recent round)

• Founded by veterans from McKinsey QuantumBlack, Yale/Stanford Medicine, and Emory CS

• Advised by post-exit CTOs and AI researchers

We've found product-market fit and we're scaling fast. We're building the future of legal AI from our NYC office near Grand Central with a small, technical, and focused team.

We need our first dedicated infrastructure engineer - someone who will own our infrastructure, scale our systems, and ensure we can handle rapid growth without breaking. You'll also jump into TypeScript when needed, whether it's building internal tools, optimizing backend services, or helping ship features during critical moments.

This is a rare opportunity to define infrastructure practices from the ground up at a fast-growing AI startup, working on challenges that span AWS architecture, deployment pipelines, observability, data infrastructure, security, and scalability.

You'll work directly with our CTO and engineering team to build infrastructure that's reliable, secure, and enables the team to move fast.

Core infrastructure experience:

• 5+ years building and scaling production infrastructure

• Deep AWS expertise: EC2, RDS, S3, Lambda, VPC, IAM, CloudWatch, load balancing, auto-scaling

• Strong experience with infrastructure-as-code (Terraform, CloudFormation, or similar)

• Production experience with CI/CD pipelines and deployment automation

• Solid understanding of networking, security, and system architecture

• Experience with monitoring, logging, and observability tools (DataDog, CloudWatch, Grafana, or similar)

• Database operations and optimization experience (PostgreSQL preferred)

Full-stack capabilities:

• Comfortable writing TypeScript - you can build internal tools, debug backend issues, and contribute to the application when needed

• Experience optimizing backend services for performance and reliability

• Understanding of modern web architecture: APIs, authentication, job queues, caching

• Able to work across the stack when the team needs help shipping

Bonus points for:

• Experience with AI/ML infrastructure (GPU instances, model serving, vector databases)

• Security experience: SOC 2, HIPAA compliance, secrets management, access controls

• Prior startup experience, especially as an early infrastructure hire

• Experience in legal tech, healthcare, or other highly regulated industries

• Background in SRE or DevOps practices

Build and scale infrastructure (70% of time):

• Design and implement scalable AWS architecture for our AI platform

• Build and maintain deployment pipelines and development workflows

• Optimize database performance, implement caching strategies, manage data pipelines

• Establish monitoring, alerting, and observability practices - know what's happening before users do

• Implement security best practices: IAM policies, network security, encryption, secrets management

• Plan for scale: ensure our infrastructure can handle 10x growth without major rewrites

• Own reliability: incident response, post-mortems, continuous improvement

Support product development (30% of time):

• Write TypeScript to build internal tools, admin dashboards, and automation scripts

• Jump in to help ship features during critical launches or tight deadlines

• Optimize backend services and APIs for performance

• Debug production issues across the full stack

• Work with the team to make smart technical decisions that balance speed and sustainability

Scale with us:

• Define our infrastructure standards and best practices from scratch

• Build systems that enable the engineering team to ship faster and more confidently

• Take on expanding scope and potentially build an infrastructure team as we grow

• Influence technical strategy and architecture decisions

• Build from scratch: Define infrastructure practices at a company in hypergrowth mode -your decisions will scale with us

• Real impact: Your work directly enables product velocity and protects sensitive medical/legal data

• Technical challenges: Scale AI/ML workloads, process massive datasets, build for HIPAA compliance, optimize for both speed and reliability

• Elite team: Work with talented engineers who value craft and will be eager partners

• Comprehensive benefits: Medical insurance, 401(k)

• Fast growth: Scale your work and potentially build an infrastructure team as we grow

• Competitive compensation: $160K–$200K base + meaningful equity

• Great culture: Tight-knit team in NYC near Grand Central that values curiosity, speed, and execution

• Strategic importance: Infrastructure is a competitive advantage and enables everything we do - it's not an afterthought

• Greenfield opportunity: Build infrastructure the right way from the beginning, not fix years of tech debt

• High trust environment: Direct access to leadership, your recommendations will be taken seriously

• Career growth: First infrastructure hire with clear path to infrastructure leadership as we scale

• Meaningful work: Build systems that protect sensitive medical and legal data impacting real people's lives

• Technical autonomy: You'll own the infrastructure stack and make foundational decisions

• Location: Full-time, in-person in New York City - we value real collaboration and spontaneous problem-solving