AI/ML Expert

Jobtailor; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Jobtailor is seeking an experienced AI/ML engineer to design, develop, and optimize agentic AI solutions for diverse business use cases in Bengaluru. The role focuses on transforming processes into intelligent autonomous workflows and defining architectures for orchestration, memory management, tool integration, and guardrails.

You will drive AI-driven automation to enhance efficiency and scalability. Responsibilities include documenting designs and decisions, plus ensuring governance, security,

Qualifications

• Bachelor's degree and 8–12 years of AI/ML engineering experience.

Responsibilities

• Design, develop, and optimize agentic AI solutions for business and customer use cases.
• Transform processes into autonomous and semi-autonomous workflows.
• Define architectures for agent orchestration, memory, tool integration, guardrails, and human-in-the-loop workflows.
• Enhance efficiency, UX, and scalability through AI-driven automation.
• Document designs, decisions, best practices, and guidelines for scalable delivery and maintenance.

Skills

AI/ML engineering

Solution architecture

End-to-end AI delivery

Prompt engineering

RAG

Vector databases

Embeddings

Model evaluation

LLMs

Agentic AI frameworks

APIs

CI/CD

Governance & security

GCP

Multi-agent systems

Planning frameworks

Reinforcement learning

Human-in-the-loop workflows

Data engineering

Knowledge graphs

Semantic search

Education

Bachelor’s degree in AI/ML or related field

Tools

Git

CI/CD pipelines

APIs

Automation platforms

Knowledge graphs

Semantic search

Job description

Responsibilities

• Design, develop, and optimize agentic AI solutions for a variety of business and customer use cases.
• Transform existing processes and automation tools into intelligent, autonomous, and semi‑autonomous workflows.
• Define and implement solution architectures for agent orchestration, memory management, tool integration, guardrails, and human‑in‑the‑loop workflows.
• Enhance process efficiency, user experience, and operational scalability through AI‑driven automation solutions.
• Document solution designs, technical decisions, best practices, and implementation guidelines to support scalable delivery and maintenance.

Requirements

• Bachelor’s degree with 8–12 years of experience in AI/ML engineering and solution development.
• Strong experience in AI/ML engineering, solution architecture, and end‑to‑end AI solution delivery.
• Deep understanding of RAG, prompt engineering, vector databases, embeddings, and model evaluation techniques.
• Hands‑on experience with LLMs, generative AI technologies, and agentic AI frameworks for building intelligent applications and orchestration workflows.
• Strong knowledge of software engineering best practices, including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles related to governance, security, and privacy.
• Knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
• Experience with multi‑agent systems, planning frameworks, reinforcement learning, and human‑in‑the‑loop workflows.
• Basic understanding of optical networking, IP networking, and transport technologies.
• Familiarity with data engineering, knowledge graphs, and semantic search architectures.

Core Competencies

Demonstrates expertise in AI/ML engineering and solution architecture, with a focus on developing intelligent applications and optimizing workflows through automation. Proficient in implementing end‑to‑end AI solutions while adhering to software engineering best practices and responsible AI principles.