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