Senior Applied AI Engineer (Agents) - Bengaluru

Kocoa Technologies Pvt Ltd

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+
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Job summary

FAFF, a Bangalore-based consumer-tech company, is seeking an experienced AI/ML engineer to build and deploy AI agents and agentic workflows for real-world use cases. You will own AI problem statements end-to-end, from understanding the problem to production deployment, designing reliable systems with LLMs, tools, retrieval, and memory.

The role requires strong Python skills, hands-on experience shipping AI/ML systems, and deep knowledge of GenAI/LLMs.

Qualifications

  • 4+ years of experience in AI/ML engineering or a closely related engineering role.
  • Current or previous experience at a product-based company.
  • Strong hands-on experience building and shipping AI/ML systems.
  • Experience building AI agents, agentic workflows, tool-calling systems, or similar applications.
  • Strong understanding of LLMs and their practical application in production.
  • Strong programming skills, preferably in Python.
  • Ability to take an ambiguous problem statement and go deep to find and implement a solution.
  • Experience with RAG, embeddings, vector databases, evaluation, prompt engineering, or model integration.
  • Strong problem-solving and debugging skills.
  • Candidates with only surface-level exposure to GenAI/LLMs/Agents will not be a good fit.

Responsibilities

  • Build and deploy AI agents and agentic workflows for real-world use cases.
  • Own AI problem statements end-to-end, from understanding the problem to production deployment.
  • Design reliable systems involving LLMs, tools, retrieval, memory, and structured workflows.
  • Experiment with different approaches and identify what works best for the problem.
  • Improve accuracy, reliability, latency, and cost of AI systems.
  • Build evaluation and monitoring mechanisms for AI applications.
  • Work closely with product and engineering teams to translate real-world problems into AI solutions.
  • Debug failures and continuously improve production AI systems.

Skills

AI/ML engineering
Python programming
LLMs in production
Agent workflows
Problem solving

Tools

Vector databases
RAG
Embeddings
Prompt engineering
Model integration

Job description

Company Details

FAFF is a Bangalore-based consumer-tech company building a human + AI personal assistant that helps users delegate everyday tasks. Website: https://usefaff.com


Requirements


  • 4+ years of experience in AI/ML engineering or a closely related engineering role.


  • Current or previous experience at a product-based company.


  • Strong hands‑on experience building and shipping AI/ML systems.


  • Experience building AI agents, agentic workflows, tool‑calling systems, or similar applications.


  • Strong understanding of LLMs and their practical application in production.


  • Strong programming skills, preferably in Python.


  • Ability to take an ambiguous problem statement and go deep to find and implement a solution.


  • Experience with RAG, embeddings, vector databases, evaluation, prompt engineering, or model integration.


  • Strong problem‑solving and debugging skills.


  • Candidates with only surface‑level exposure to GenAI/LLMs/Agents will not be a good fit.



Responsibilities


  • Build and deploy AI agents and agentic workflows for real-world use cases.


  • Own AI problem statements end‑to‑end, from understanding the problem to production deployment.


  • Design reliable systems involving LLMs, tools, retrieval, memory, and structured workflows.


  • Experiment with different approaches and identify what works best for the problem.


  • Improve accuracy, reliability, latency, and cost of AI systems.


  • Build evaluation and monitoring mechanisms for AI applications.


  • Work closely with product and engineering teams to translate real‑world problems into AI solutions.


  • Debug failures and continuously improve production AI systems.



Job Details

Bangalore, Karnataka — 6 Days, Work from Office


Interview Process


  • Introductory Screening

  • Technical Interview

  • AI Problem‑Solving Round

  • Hiring Manager Round

  • Founder Round


Important Note

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