Software Engineer – AI (Backend)

Gitforce; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Gitforce in Hyderabad is seeking a Software Engineer – AI (Backend) to build production backend and AI systems for real client and internal use cases. You will design APIs and services, build LLM-powered applications, and own them in production, collaborating with product, founders, and client teams.

You should be a strong backend engineer with 2–5 years of experience in Python, SQL, and AI-powered features.

Qualifications

• 2–5 years of professional engineering experience.

Responsibilities

• Design and build backend services and APIs in Python (FastAPI, Flask, or similar).
• Design data models and work with SQL and PostgreSQL.
• Build AI-powered applications using LLM APIs (OpenAI, Anthropic, Google, and open-source models).
• Build RAG pipelines using embeddings, retrieval, reranking, and vector databases.
• Develop AI agents, tool-calling workflows, and multi-step LLM systems.
• Integrate with third-party APIs, databases, and services.
• Deploy, monitor, debug, and improve systems in production.
• Work closely with product, founders, and client teams to turn requirements into technical solutions.

Skills

Python backend

APIs design

SQL databases

LLM APIs

RAG pipelines

AI agents

Git testing

Tools

FastAPI/Flask

PostgreSQL

LangChain

LlamaIndex

LangGraph

Pinecone

Weaviate

Docker

CI/CD

React

Job description

We’re hiring a Software Engineer – AI (Backend) to build and ship production backend and AI systems across real client and internal use cases. You’ll design APIs and services, build LLM-powered applications, and own them in production.

This is a full-time, work-from-office role in Hyderabad.

About us:

We’re a new age tech & business services company, HQ’ed in Hyderabad with clients across the world. Find out more at https://www.linkedin.com/company/gitforce

What You’ll Do

TL;DR: Build and run the backend and AI systems behind real products.

• Design and build backend services and APIs in Python (FastAPI, Flask, or similar)
• Design data models and work with SQL and PostgreSQL
• Build AI-powered applications using LLM APIs (OpenAI, Anthropic, Google, and open-source models)
• Build RAG pipelines using embeddings, retrieval, reranking, and vector databases
• Develop AI agents, tool-calling workflows, and multi-step LLM systems
• Integrate with third-party APIs, databases, and services
• Deploy, monitor, debug, and improve systems in production
• Work closely with product, founders, and client teams to turn requirements into technical solutions

Qualifications

TL;DR: Strong backend engineering fundamentals in Python, plus hands‑on experience building AI‑powered applications.

You Are:

• 2 to 5 years into your professional engineering career
• A strong backend engineer who has built and shipped AI‑powered features
• Someone who cares about reliable, well‑tested production systems
• Comfortable picking up new frameworks and tools quickly
• Someone who enjoys owning a system end to end, not just isolated tickets

Must-haves:

• Strong Python, with experience building production backend services and APIs
• Solid SQL and PostgreSQL, including schema design
• Hands‑on experience with LLM APIs, including prompt engineering, structured outputs, and tool calling
• Experience building RAG pipelines or AI agents (LangChain, LlamaIndex, LangGraph, or similar)
• Good grasp of API design, software architecture, Git, testing, and production engineering fundamentals
• Strong problem‑solving and communication skills

Nice-to-haves:

• Vector databases: Pinecone, pgvector, Weaviate, Qdrant, Chroma, or similar
• LLM evaluation, observability, tracing, or monitoring
• Docker, CI/CD, and cloud (AWS, GCP, or Azure)
• Some frontend experience (React, Next.js, TypeScript)