AI DEVELOPER - LEGAL AI AGENTS

Job Description for an in-house AI agent development role

Role Title AI Developer - Legal AI Agents

Organisation UK-based legal firm

Work Location Hyderabad, India

Working Pattern Full-time, office-based role

depending on experience

Reporting Line Director – IT & Operations

Employment Type Permanent / Full-time

Start Date Immediate

Overview

The AI Developer will design, build, test, deploy and support in-house AI agents for a UK legal firm. The

role will focus on creating secure, reliable and auditable AI solutions that improve legal operations,

document workflows, knowledge retrieval, client service processes and internal productivity while

respecting confidentiality, data protection and professional standards relevant to legal practice.

Key Responsibilities

 AI agent development: Design and develop task-focused AI agents using modern large language

model frameworks, retrieval-augmented generation, workflow orchestration and API integrations.

 Legal workflow automation: Build solutions for legal document review, summarisation, drafting

assistance, matter triage, knowledge search, case workflow support, compliance checks and internal

process automation.

 Retrieval and knowledge systems: Create secure retrieval pipelines over internal legal knowledge

bases, precedents, policies, templates and matter-related data using vector databases, embeddings,

metadata filters and permissions-aware access control.

 System integration: Integrate AI services with document management systems, case management

systems, SharePoint, Teams, CRMs and internal databases through APIs and secure connectors.

 Prompt and evaluation engineering: Develop prompt templates, agent instructions, guardrails, test

sets, evaluation criteria and human-in-the-loop review processes to improve consistency, accuracy

and safety.

 Data security and compliance: Implement solutions that protect client confidentiality, personal data

and privileged information, including logging controls, secure authentication, redaction workflows and

appropriate data retention practices.

 Production engineering: Deploy and monitor AI solutions in a reliable production environment,

including CI/CD, version control, observability, error handling, performance optimisation and incident

support.

 Stakeholder collaboration: Work closely with legal, operations, compliance, IT security and

marketing teams to understand requirements and translate them into practical technical solutions.

 Documentation and training: Prepare technical documentation, user guides, release notes and

internal training materials for AI tools and workflows.

 Continuous improvement: Monitor user feedback, model performance, cost, latency and adoption

metrics, and recommend improvements to the AI agent roadmap.

Essential Skills and Experience

 Strong software development experience in Python and/or TypeScript/JavaScript.

 Hands-on experience building applications with LLM APIs such as OpenAI, Azure OpenAI, Anthropic,

Google Gemini or comparable enterprise AI platforms.

Job Description | AI Developer - Legal AI Agents

 Experience with agentic AI frameworks or orchestration tools such as LangChain, LangGraph,

LlamaIndex, Semantic Kernel, CrewAI or equivalent.

 Practical understanding of retrieval-augmented generation, embeddings, vector databases and

semantic search.

 Experience designing REST APIs, background workers, queues and integrations with third-party

systems.

 Knowledge of cloud platforms, preferably Microsoft Azure, including identity, storage, functions/app

services and monitoring.

 Good understanding of secure software engineering, role-based access control, secrets management

and audit logging.

 Ability to write clean, maintainable, tested code using Git-based workflows.

 Strong problem-solving skills and ability to work with non-technical stakeholders.

 Excellent written and spoken English communication skills.

Desirable Skills

 Experience working with document automation or e-discovery platforms.

 Experience with Microsoft Graph, SharePoint, Teams, Power Platform or Dynamics integrations.

 Experience with model evaluation, red-teaming, prompt injection mitigation and AI safety controls.

 Familiarity with OCR, document parsing, PDF extraction, legal document classification and structured

data extraction.

 Experience containerising applications using Docker and deploying through CI/CD pipelines.

 Understanding of data protection principles relevant to UK GDPR and confidential client information.

Technical Environment

Area Likely Tools / Technologies

Core languages Python, TypeScript/JavaScript, SQL

AI / LLM stack

Azure OpenAI/OpenAI or equivalent,

LangChain/LangGraph, Anthropic, LlamaIndex,

prompt engineering and evaluations

Data and retrieval Vector databases, Azure AI Search,

PostgreSQL/pgvector, document parsers, OCR tools

Integration REST APIs, Microsoft Graph, SharePoint, Teams,

case/document management system APIs

Engineering Git, Docker, CI/CD, automated testing, logging,

monitoring, secure configuration

Security RBAC, SSO/identity, encryption, audit trails, secrets

management, data retention controls