Senior Backend Engineer

Chamelio is revolutionizing legal tech with an AI-powered Legal Intelligence Platform trusted by hyper-growth tech leaders including Wiz, Socure, and Wix. We integrate deeply with enterprise ecosystems (Salesforce and beyond) to help in-house legal teams automate complex workflows, accelerate contract negotiations, and turn static agreements into actionable institutional knowledge.

We operate at the cutting edge of applied AI, enterprise integrations, and legal operations. Join us as we scale our impact globally.

We are looking for a Senior Backend Engineer to take ownership of the core infrastructure and intelligent services powering our platform. In this role, you will architect resilient, high-throughput distributed systems, operationalize LLM workflows, and build the connective tissue between complex business logic and enterprise integrations.

As a Senior engineer, you won’t just write code, you will drive architectural decisions, raise the engineering bar, and ship mission-critical AI features directly to production.

• Architect & Scale Core Systems: Design, build, and maintain robust, high-performance APIs and microservices using Python (FastAPI, Pydantic, PostgreSQL, MongoDB, Redis).

• Productionize AI: Bridge the gap between cutting-edge LLMs and reliable production software, building data pipelines and workflows that power intelligent legal automation.

• End-to-End Technical Ownership: Lead features from initial system design and data modeling through to CI/CD deployment, observability, and scaling.

• Integrate at Enterprise Scale: Build seamless, bi-directional integrations with enterprise platforms (e.g., Salesforce) and process high volumes of complex data securely.

• Drive Technical Excellence: Champion best practices, lead code and design reviews, and mentor team members as our engineering organization expands.

• Iterate with High Velocity: Collaborate closely with Product, Frontend, and ML counterparts to ship fast, validate against user needs, and iterate continuously.

• 5+ years of experience building, maintaining, and scaling production backend systems in Python.

• Deep Architectural Foundations: Strong expertise in distributed systems, asynchronous programming, database optimization (relational & NoSQL), and clean API design.

• AI-First Mindset: You actively use modern AI dev tools (Cursor, Claude Code, Copilot) to accelerate your workflow, and you possess a strong curiosity about generative AI architectures.

• Autonomy & Bias for Action: Proven ability to navigate ambiguity, break down complex business problems into modular services, and deliver independently.

• Product-Minded Engineering: You care deeply about user impact and business outcomes, not just writing code for the sake of code.

• Strong Communication Skills: Fluent English proficiency with the ability to articulate technical tradeoffs clearly across cross-functional teams.

• Prior experience as an early-stage startup engineer or founder.

• Hands-on experience building LLM-powered applications (RAG architectures, vector databases, prompt orchestration).

• Strong background with AWS cloud-native infrastructure (ECS, Lambda, SQS, S3, Docker).

• Languages & Frameworks: Python (FastAPI, Pydantic), TypeScript

• Databases & Caching: PostgreSQL, MongoDB, Redis

• Infrastructure & Cloud: AWS (ECS, Lambda, SQS, S3), Docker, CI/CD pipelines

• AI & Tooling: Modern LLM APIs, Vector Stores, Cursor, Claude Code

• High Impact & Ownership: Join at a defining stage where your architectural choices and technical vision will directly shape the platform's future.

• Ship to Top-Tier Clients: Your code powers daily workflows for leading tech enterprises like Wiz and Wix.

• Fast-Paced, Low Bureaucracy: We value resourceful problem-solving, rapid iteration, and direct execution over red tape.

• Modern Engineering Culture: Work with state-of-the-art AI tooling in an engineering environment that treats AI as a core capability.