Product Engineer

Jobtailor; Karnataka; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Jobtailor is seeking a Product Engineer to join as a founding member of its AI capability within the Growth Squad. You will apply advanced LLMs to solve customer and operational challenges, building agentic AI systems that automate tasks and transform experiences.

You will lead end-to-end delivery from ideation to production deployment, fine-tuning models, managing versioning, and ensuring reliability and safety in production environments.

Qualifications

• 3+ years of software engineering experience with Python and/or Kotlin.
• Experience deploying and integrating LLM-powered tools or agents.
• Hands-on work with Python, LLM frameworks, prompt engineering and orchestration.
• Knowledge of production deployment, versioning and monitoring (MLflow, FastAPI, Kubernetes).

Responsibilities

• Founding member of the AI capability within Growth Squad, applying LLMs to customer and operational challenges.
• Build agentic AI systems that automate tasks and enhance customer experience.
• Collaborate with growth, data, product and operations to deploy real-world AI use cases.
• Own end-to-end delivery from ideation to production deployment and monitoring.

Skills

Python

Kotlin

LLM tooling

Prompt engineering

Orchestration

LangChain

Kubernetes

Tools

MLflow

FastAPI

HubSpot

LangChain

Semantic Kernel

OpenAI

Claude

Job description

Responsibilities

• The Product Engineer will be a founding member of our AI capability within the Growth Squad, responsible for applying advanced large language models (LLMs) to solve complex customer and operational challenges.
• This role will create significant value by building agentic AI systems that either eliminate manual effort or transform the customer experience through intelligent automation, smarter interfaces, and proactive service.
• Working closely with growth, data, product, and operations teams, this role will scope, design, and deploy real‑world AI use cases across marketing, onboarding, and customer lifecycle journeys (including initiatives in advertising platforms and our CRM, HubSpot).
• You will bring deep expertise in LLMs, prompt engineering, agent frameworks, and systems thinking to build scalable, explainable, and impactful solutions.
• Own the end‑to‑end delivery of AI solutions—from idea to production deployment and monitoring—and play a pivotal role in shaping how we scale Allica using AI. Continuously fine‑tune and optimize models for performance, manage their versioning, and establish robust evaluation and monitoring processes to ensure each solution remains reliable, efficient, and safe in production.

Requirements

• 3+ years’ professional software engineering experience in one or more programming languages (preferably Python and Kotlin).
• Proven experience building and deploying LLM‑powered tools or agents (e.g., using OpenAI, Claude, or open‑source models).
• Hands‑on expertise in Python, LLM frameworks (LangChain, Semantic Kernel, etc.), prompt engineering, and orchestration.
• Knowledge of model deployment, versioning, and monitoring in production (e.g., using MLflow, FastAPI, Kubernetes, or similar cloud‑native tools).
• Experience integrating AI solutions into real‑world systems (e.g., CRM platforms like HubSpot, advertising platforms, ticketing systems, or internal tools).
• Experience fine‑tuning and optimizing LLMs, including building efficient embeddings or vector memory stores, while managing latency and cost constraints.
• Understanding of privacy, bias, and safety considerations when applying LLMs in production.
• Strong understanding of vector databases, RAG (retrieval‑augmented generation), and agent workflows.
• Experience evaluating AI models for quality and fairness, including comparing vendor models vs. open‑source alternatives and building custom evaluation pipelines to validate model performance.
• Comfortable with full‑stack development (e.g., building web interfaces or APIs) to integrate AI solutions end‑to‑end.
• Exposure to business domains like growth, marketing automation, or customer service is a plus.