Company: Trench Legal

Location: India (100% Remote)

Employment Type: Full-time (via Employer of Record)

Experience: 3+ years

Compensation: ₹25–30 LPA, depending on experience and skills

About Trench Legal

Trench Legal is an early-stage U.S. legal technology startup built by founders from Google, Amazon and LinkedIn to help law firms automate document-heavy workflows and run the operational side of their firms. We are VC-backed and have raised 5 million in funding overall. We are growing fast and our revenue is increasing 80% MoM.

Law firms handle thousands of pages of medical records, bills, and other case documents. Processing these documents and turning them into accurate, useful information is often time-consuming and manual.

We're building a platform that automates much of this work, including:

- Document intelligence: Extracting structured information from medical records, bills, and legal documents.
- Medical chronologies: Organizing treatments, diagnoses, procedures, and events into accurate case timelines.
- AI case chat: Answering questions across large collections of documents with verifiable source citations.
- Document generation: Producing evidence-backed drafts and demand letters.
- Workflow automation: Supporting medical record retrieval and other legal processes.

We have an existing product and codebase and are looking for an engineer to help improve our AI capabilities, strengthen our backend infrastructure, and build reliable data pipelines.

About the Role

We're hiring an Applied AI Engineer who enjoys building practical AI applications and solving challenging software engineering problems.

You'll work directly with our technical founder to develop AI features, improve document processing, and build the infrastructure that connects unstructured data to useful product capabilities.

This is a hands-on engineering position focused on building and deploying production AI systems, rather than training machine learning models from scratch.

As an early engineering hire, you'll have meaningful ownership over your work, contribute to technical decisions, and help shape the product as the company grows.

What You'll Do

AI Features & Document Intelligence

- Build and improve LLM-powered document extraction, case question-answering, medical timelines, and document generation.
- Develop pipelines to ingest, parse, classify, and extract information from PDFs, scanned records, medical bills, and other documents.
- Extract, normalize, and reconcile structured information such as dates, providers, diagnoses, procedures, treatments, and billing amounts.
- Improve structured outputs, validation, and extraction consistency.
- Create multi-step agents that can perform long tasks reliably

Retrieval-Augmented Generation (RAG)
- Improve document ingestion, chunking, embeddings, search, and retrieval.




- Develop source-grounded AI responses with accurate document and page citations.
- Reduce unsupported model outputs and improve answer reliability.
- Optimize retrieval accuracy, latency, and LLM usage costs.

Backend Engineering & Data Pipelines
- Develop and maintain Python APIs, backend services, and data-processing workflows.
- Build reliable asynchronous processing with queues, retries, deduplication, and error handling.
- Extend PostgreSQL schemas, APIs, and integrations within our existing product.
- Debug production issues and improve performance, monitoring, and maintainability.
- Implement appropriate safeguards for handling sensitive information.

AI Evaluation & Quality
- Create evaluation datasets and automated tests for AI features.
- Measure extraction accuracy, completeness, citation quality, latency, and cost.
- Investigate AI failures and improve pipelines based on measurable results.
- Build validation and quality-control mechanisms for complex documents.

What We're Looking For

Required Qualifications

- 3+ years of professional software engineering experience, including hands-on experience building and deploying AI or LLM-powered features.
- Robust Python programming skills, including experience building backend APIs and services.
- Solid SQL skills and experience working with relational databases.
- Practical experience with LLM APIs, structured outputs, embeddings, and retrieval-augmented generation (RAG) or similar retrieval systems.
- Experience building data ingestion, ETL, or document-processing pipelines.
- Familiarity with cloud infrastructure (AWS, GCP, or Azure), Docker, and asynchronous processing.
- Ability to navigate an existing codebase, write maintainable code, test changes, and deploy features.
- Strong debugging and problem-solving skills.
- Ability to work independently, take ownership of features, and make practical engineering decisions.
- Clear written English and comfort collaborating with a distributed team.

We value practical engineering ability, production experience, and demonstrated ownership over specific degrees, certifications, or familiarity with particular frameworks.

Nice to Have

- Experience with OCR, PDF parsing, document layout analysis, or Docling.
- Familiarity with PostgreSQL, pgvector, or vector databases.
- Experience with AWS Lambda, S3, SQS, ECS/Fargate, or Amazon Bedrock.
- Experience with hybrid search, reranking, and document-level source provenance.




- Experience building LLM evaluation systems or reducing unsupported model outputs.
- Experience processing legal, healthcare, financial, or insurance documents.
- Familiarity with React and TypeScript.
- Experience improving LLM processing costs and throughput.

You don't need prior experience with every technology. We're looking for strong engineering fundamentals and the ability to learn and contribute within an existing system.

Why Join Us?

- High ownership: Take responsibility for meaningful features from design through production.
- Real-world AI challenges: Work on complex document understanding, information extraction, retrieval, and reliability problems.
- Direct founder collaboration: Work closely with a technical founder and contribute to engineering decisions.
- Visible impact: See your work directly improve a product used to solve real operational problems.
- Early-stage opportunity: Help shape our engineering practices and product architecture as the company grows.

Remote flexibility: Work from anywhere in India with agreed collaboration hours.

What Success Looks Like

Within your first 90 days, we expect you to:

- Understand our existing codebase and document-processing architecture.
- Contribute improvements to existing AI features and backend services.
- Independently own and deploy at least one meaningful AI or pipeline improvement.
- Demonstrate measurable improvements in accuracy, completeness, reliability, processing time, or cost.

Employment & Compensation
- Location: India, fully remote.
- Employment: Full-time through an India-based Employer of Record (EOR) partner.
- Compensation: ₹25–30 LPA, depending on experience and qualifications.
- Benefits: Statutory employment benefits in accordance with applicable Indian law. Details will be provided during the offer process.
- Working hours: Flexible, with some scheduled overlap with the U.S. Pacific time zone.

You'll work directly with Trench Legal's engineering team, while our EOR partner manages local employment administration, payroll, and statutory compliance.

Additional InformationTrench Legal is committed to fair and equal employment opportunities. We evaluate applicants based on qualifications, experience, and job-related skills, without discrimination prohibited by applicable law.

The advertised compensation range is indicative. Final compensation and benefits will depend on the candidate's qualifications, the applicable employment arrangement, and the terms of the offer.

The selected candidate will be employed through an India-based Employer of Record (EOR) partner and will work directly with Trench Legal.

Information submitted during the application process will be used for recruitment purposes and handled in accordance with applicable privacy laws and our recruitment privacy notice.

📌 Applied AI Engineer (India)
🏢 Trench Legal
📍 India