Senior Applied AI Engineer (Agents)

Carrerlift; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

FAFF, a consumer-tech company, seeks a Senior Applied AI Engineer in Bangalore to build production-grade AI agents and agentic workflows for real-world tasks.

You will own AI problems end-to-end, from understanding requirements to deployment, and design robust systems with LLMs, tools, retrieval and memory. Collaborate with product and engineering to turn practical problems into AI-powered solutions.

Qualifications

• 4+ years of AI/ML engineering experience.
• Experience at a product-based company.
• Experience building AI agents and agentic workflows.
• Strong production experience with LLMs.

Responsibilities

• Build and deploy AI agents and agentic workflows for real-world use cases.
• Own AI problem statements end to end from requirement through deployment.
• Design reliable systems involving LLMs, tools, retrieval, memory and workflows.
• Experiment with approaches and select the best solution.
• Improve AI-system accuracy, reliability, latency and cost.
• Build monitoring for production AI applications.
• Collaborate with product and engineering to translate problems into AI solutions.
• Debug production failures and continuously improve deployed AI systems.

Skills

AI/ML engineering

Agentic workflows

LLMs in production

Python

RAG

Embeddings

Vector databases

Job description

About the role

• FAFF is hiring a Senior Applied AI Engineer to build production-grade AI agents in Bangalore.
• The role is focused on solving hard, ambiguous real-world problems rather than only applying surface-level GenAI techniques.
• FAFF is a consumer-tech company building a human + AI personal assistant that helps users delegate everyday tasks.
• The position follows a 6-day work-from-office setup.

What you'll work on

• Build and deploy AI agents and agentic workflows for real-world use cases.
• Own AI problem statements end to end, from understanding the requirement through production deployment.
• Design reliable systems involving LLMs, tools, retrieval, memory and structured workflows.
• Experiment with multiple technical approaches and determine which one best solves the problem.
• Improve AI-system accuracy, reliability, latency and cost.
• Build evaluation and monitoring mechanisms for production AI applications.
• Work closely with product and engineering teams to translate practical problems into AI-driven solutions.
• Debug failures in production and continuously improve deployed AI systems.

What we're looking for

• Candidates should have 4+ years of experience in AI/ML engineering or a closely related engineering role.
• Current or previous experience at a product-based company is required.
• Strong hands-on experience building and shipping AI/ML systems is expected.
• Applicants should have built AI agents, agentic workflows, tool-calling systems or similar applications.
• Strong understanding of LLMs and their use in production is required.
• Strong programming skills are expected, with Python preferred.
• Candidates should be able to take ambiguous problems, investigate them deeply and implement effective solutions.
• Experience with RAG, embeddings, vector databases, evaluation, prompt engineering or model integration is relevant.
• Strong problem-solving and debugging ability is required.
• Candidates with only surface-level exposure to GenAI, LLMs or agents are not considered a strong fit.

Interview process

• The process includes Introductory Screening, Technical Interview, AI Problem-Solving Round, Hiring Manager Round and Founder Round.

Note: This is a 6-day work-from-office role in Bangalore.