AI Agent Developer

Key Responsibilities

Research, design, develop, and manage software applications end-to-end

Build and deploy production-grade autonomous AI agents (not just prototypes)

Design and implement RAG architectures backed by vector databases

Develop and optimize multi-agent workflows and agentic systems

Integrate large language models via API — OpenAI, Hugging Face, Azure AI

Implement Model Context Protocol (MCP) to enable secure, governed data access for agents

Own AI governance, model lifecycle management, and ongoing evaluation of deployed agents

Apply AI safety controls

guardrails, content filtering, and risk mitigation

Collaborate cross-functionally with developers, UX designers, and business/systems analysts

Continuously optimize LLM performance, inference cost, and token usage

Requirements

Must-Have

4+ years in AI/ML engineering or advanced data science

Demonstrated experience shipping autonomous AI agents into production, not just building demos

Strong grounding in context engineering

Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT

Experience building RAG systems on vector databases

Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)

Experience wiring LLMs into applications via API

Working knowledge of AI governance, model lifecycle management, and evaluation frameworks

Direct experience implementing or extending Model Context Protocol (MCP)

Familiarity with AI guardrails and safety tooling

Understanding of data privacy requirements, including PII/PHI handling

Nice-to-Have

Experience working in a law firm, legal operations, or legal tech environment

Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms

Background in marketing automation, lead generation systems, or paid ads optimization

Experience with chatbots, call automation, or client intake systems

Familiarity with document automation, legal research tools, or eDiscovery platforms

Basic understanding of APIs, integrations, or no-code/low-code tools

Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)

Knowledge of data privacy, compliance, and security considerations in AI implementation

Prior experience in a consulting, operations, or innovation-focused role

System and Work Setup Requirements

A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.

Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage

Headset/earphone with noise cancellation and webcam at 720p or higher resolution

A designated, quiet, and well-organized workspace free from distractions to facilitate focused work

Benefits

Permanent remote work setup

Competitive starting rate paid in USD

Internet Allowance

HMO insurance (PH)

Paid US holidays

Paid Vacation and Sick Leaves

Originally posted on Himalayas