Associate Software Engineer - AI

91 O.C. Tanner India Private Limited; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

91 O.C. Tanner India Private Limited is seeking a Product Engineer to design and deploy AI-powered features and agentic experiences. The role emphasizes collaboration with Product Managers and UX Designers, focusing on integrating AI into product offerings.

The ideal candidate will have a background in software engineering with strong proficiency in Python and knowledge of AI frameworks like LangChain and LangGraph. Experience with AI applications and communication skills are crucial.

Qualifications

• 3+ years of software engineering experience, with at least 2 years focused on AI and production AI/ML applications.
• Demonstrated experience shipping AI-powered features to production environments is preferred.
• Good communication skills and proficiency in English required.

Responsibilities

• Design and implement AI-powered features using large language models.
• Build agentic AI systems using frameworks like LangChain and LangGraph.
• Develop and maintain production-grade AI applications.

Skills

Python

AI/ML libraries

LLM capabilities

LangChain

LangGraph

Vector databases

API design

Problem solving

A/B testing

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field

Tools

AWS

Azure

GCP

Git

Job description

Job Overview

O.C. Tanner is seeking a product engineer to design, develop, and deploy AI‑powered features and agentic experiences into their product portfolio.

Core Responsibilities

• Design and implement AI‑powered features using large language models (LLMs) from providers such as Anthropic Claude, OpenAI, and open‑source alternatives.
• Build agentic AI systems using frameworks like LangChain, LangGraph, and related orchestration tools to create intelligent, multi‑step workflows.
• Develop and maintain production‑grade AI applications that integrate with existing product infrastructure.
• Architect prompt engineering strategies and retrieval‑augmented generation (RAG) systems to optimize AI responses for product‑specific use cases.
• Collaborate with Product Managers, UX Designers, and Engineering teams to identify opportunities for AI enhancement across the product suite.
• Build and optimize vector databases and semantic search capabilities to power intelligent product features.
• Implement monitoring, evaluation, and QA frameworks for AI system outputs.
• Design and maintain APIs and integrations between AI services and core product functionality.
• Prototype and validate new AI capabilities through rapid experimentation.
• Ensure responsible AI practices including output validation, bias mitigation, and user privacy protection.
• Document AI system architectures, decision rationales, and implementation patterns.
• Stay current with evolving AI/ML landscape and evaluate emerging tools for product application.

Technical Environment

• Commercial LLM APIs (Anthropic Claude, OpenAI GPT‑4, etc.) and open‑source models.
• AI orchestration frameworks: LangChain, LangGraph, and related ecosystem tools.
• Python as primary language for AI/ML workflows.
• Vector databases: Pinecone, Chroma, Weaviate, etc.
• RESTful APIs and microservices to expose AI functionality.
• Cloud infrastructure (AWS, Azure, GCP) for deployment.
• Existing product databases and data pipelines integration.
• Version control (Git) and collaborative development workflows.

Skills and Special Requirements

• Strong proficiency in Python, focusing on AI/ML libraries and frameworks.
• Deep understanding of LLM capabilities, limitations, and prompt engineering.
• Experience building production applications with LangChain, LangGraph, or similar agentic AI frameworks.
• Knowledge of vector databases and semantic search architectures.
• Familiarity with API design and integration patterns.
• Understanding of Retrieval‑Augmented Generation system architectures.
• Ability to translate business requirements into AI‑powered product features.
• Experience with A/B testing and evaluation metrics for AI systems.
• Strong problem‑solving skills in ambiguous, rapidly evolving domains.
• Excellent communication skills to explain AI capabilities and limitations to non‑technical stakeholders.
• Understanding of responsible AI principles, including bias, fairness, and privacy.

Education / Experience

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field. 3+ years of software engineering experience, with at least 2 years focused on AI and production AI/ML applications. Demonstrated experience shipping AI‑powered features to production environments is preferred. Portfolio of projects showcasing LLM integration and agentic AI system development is highly valued. Good communication skills and proficiency in English required.