AI Backend Engineer

Gleantap; Lucknow; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Gleantap is hiring a backend engineer to advance our PHP backend while building AI-powered capabilities. You will ship production software, handle real customer data, and add AI-native features within a SaaS product.

The role blends maintaining existing systems with creating new AI-driven services and data pipelines. The ideal candidate will work on API design, data processing, and AI agent development using Python, while applying LLMs and vector databases to deliver practical features for

Qualifications

• Strong backend development experience.
• Hands-on experience with PHP.
• Strong experience with Python.
• Experience building APIs, backend services, and data-driven applications.
• Practical experience with LLM APIs such as OpenAI, Claude, Gemini, or similar.
• Understanding of AI agent concepts, prompt engineering, function calling, and structured AI outputs.
• Experience with embeddings, vector search, RAG, or vector databases.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Strong SQL skills and comfort working with relational databases.
• Understanding of ETL concepts, data pipelines, data cleaning, and transformation.
• Familiarity with core machine learning concepts such as classification, prediction, embeddings, model evaluation, training vs inference, and feature engineering.
• Ability to debug production issues and work in an existing codebase.
• Strong problem-solving ability and ownership mindset.

Responsibilities

• Build, maintain, and improve backend features in our existing PHP application.
• Develop AI agents and automation workflows using Python.
• Integrate LLMs such as OpenAI, Claude, Gemini, or similar models into product features.
• Build RAG-based systems using embeddings, vector databases, and document retrieval.
• Work with frameworks and tools such as LangChain, LlamaIndex, or similar AI orchestration libraries.
• Design APIs, backend services, background jobs, and data processing workflows.
• Build and maintain ETL pipelines to move, clean, transform, and structure data.
• Work with structured and unstructured data from CRMs, conversations, customer records, emails, websites, and third-party integrations.
• Implement prompt pipelines, tool/function calling, intent classification, memory, and agent workflows.
• Collaborate with product, engineering, and leadership to turn business problems into AI-powered features.
• Monitor, debug, and improve AI output quality, latency, cost, and reliability.
• Write clean, maintainable, testable code.
• Support integrations with third-party APIs and internal systems.
• Help modernize parts of the backend architecture over time.

Skills

PHP

Python

APIs

LLM APIs

Embeddings

LangChain

LlamaIndex

SQL

ETL

Data pipelines

Debugging

Ownership mindset

Tools

Pinecone

Weaviate

Chroma

FAISS

Qdrant

pgvector

Node.js

React

Job description

About the Role

We are looking for a strong backend engineer who can work across our existing PHP backend while helping us build the next generation of AI-powered product capabilities.

This is not a pure AI research role. We need someone who can ship production software, work with real customer data, build reliable backend systems, and apply AI/LLMs practically inside a SaaS product.

You will work on core backend development in PHP, build AI agents and automation workflows in Python, integrate LLMs and vector databases, and support data pipelines, ETL processes, and ML-driven product features.

The ideal candidate is a hands-on engineer who is comfortable maintaining existing systems while also building new AI-native capabilities from the ground up.

Responsibilities

• Build, maintain, and improve backend features in our existing PHP application.
• Develop AI agents and automation workflows using Python.
• Integrate LLMs such as OpenAI, Claude, Gemini, or similar models into product features.
• Build RAG-based systems using embeddings, vector databases, and document retrieval.
• Work with frameworks and tools such as LangChain, LlamaIndex, or similar AI orchestration libraries.
• Design APIs, backend services, background jobs, and data processing workflows.
• Build and maintain ETL pipelines to move, clean, transform, and structure data.
• Work with structured and unstructured data from CRMs, conversations, customer records, emails, websites, and third-party integrations.
• Implement prompt pipelines, tool/function calling, intent classification, memory, and agent workflows.
• Collaborate with product, engineering, and leadership to turn business problems into AI-powered features.
• Monitor, debug, and improve AI output quality, latency, cost, and reliability.
• Write clean, maintainable, testable code.
• Support integrations with third-party APIs and internal systems.
• Help modernize parts of the backend architecture over time.

Required Skills

• Strong backend development experience.
• Hands-on experience with PHP.
• Strong experience with Python.
• Experience building APIs, backend services, and data-driven applications.
• Practical experience working with LLM APIs such as OpenAI, Anthropic Claude, Gemini, or similar.
• Understanding of AI agent concepts, prompt engineering, function calling, and structured AI outputs.
• Experience with embeddings, vector search, RAG, or vector databases.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Strong SQL skills and comfort working with relational databases.
• Understanding of ETL concepts, data pipelines, data cleaning, and transformation.
• Familiarity with core machine learning concepts such as classification, prediction, embeddings, model evaluation, training vs inference, and feature engineering.
• Ability to debug production issues and work in an existing codebase.
• Strong problem-solving ability and ownership mindset.

Nice to Have

• Experience with CodeIgniter, Laravel, or other PHP frameworks.
• Experience with Node.js or React.
• Experience with queue systems, cron jobs, workers, webhooks, and background processing.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Qdrant, or pgvector.
• Experience with CRM, marketing automation, customer support, or messaging platforms.
• Experience with voice AI, chatbots, customer service automation, or sales automation.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with data warehouses, analytics pipelines, or BI tools.
• Experience with model evaluation, AI guardrails, observability, and cost optimization.