AI Engineer

Job Title: Lead / Senior AI Engineer

Department: Technology

Work Mode: Remote / Hybrid

Experience Level: 10+ Years (7+ Years in AI/ML)

Job Type: Full-time

Job Overview

We are looking for a hands-on, high-ownership AI Engineer with 10+ years of total experience to drive the design, development, and deployment of intelligent solutions for the legal, risk, and compliance sectors. You will lead the creation of RAG pipelines, agentic workflows, and cloud-native AI services that reduce manual effort and deliver measurable client value.

Key Responsibilities

• AI Solution Delivery: Research, build, and deploy end-to-end AI applications to automate complex legal and compliance workflows.
• Agentic Workflows: Design and optimize prompt engineering, model evaluation, and workflow orchestration systems.
• Full-Stack AI Engineering: Write clean production code across Python backends and AI components.
• Data Security & Governance: Enforce strict data privacy, governance, and security protocols for sensitive legal data.
• Technical Ownership: Guide the technical vision, conduct code reviews, and ship reliable systems at scale on AWS.

Key Qualifications

• Experience: 10+ years of total tech experience, with 7+ years dedicated to AI/ML engineering (legal, risk, or compliance domain experience preferred).
• AI Core: Proven expertise in RAG architectures, NLP, model evaluation, and prompt engineering.
• Programming Languages: High proficiency in Python (exposure to PHP/TypeScript is a plus).
• Cloud & DevOps: Hands-on deployment experience using AWS (ECS) and Terraform.
• Engineering Standards: Strong habits around automated testing, documentation, and scalable system design.

Tech Stack

• AI / Backend: Python, Laravel (PHP)
• Frontend: React, Next.js, TypeScript
• Database: MySQL
• Cloud Infrastructure: AWS (ECS), Terraform

Pay: Up to ₹1,600,000.00 per year

Application Question(s):

• AI Experience: Do you have 7+ years of hands-on experience building and deploying AI/ML models (specifically NLP, RAG, and Agentic workflows) in production environments?
• Core Language & Tech Stack: Are you proficient in Python and do you have hands-on experience working with relational databases (MySQL) and AWS cloud infrastructure?
• Domain Expertise: Do you have experience building AI/ML solutions specifically tailored for Legal, Regulatory, Risk, or Compliance domains?
• RAG & Agentic Architecture: Briefly describe a production-level RAG pipeline or Agentic workflow you personally designed. What framework/orchestration tools did you use, and how did you handle hallucination, model evaluation, and response accuracy?
• Data Security & Compliance: Since legal and risk data is highly sensitive, what specific architecture patterns, data governance practices, or security measures have you implemented when deploying LLM/AI applications to cloud environments (like AWS)?
• Backend & Stack Proficiency: What is your level of experience with our secondary backend and frontend technologies (Laravel/PHP, React, Next.js, TypeScript)? Briefly mention how you’ve integrated Python AI services with traditional web backends in past projects.

Work Location: Remote