AI / GenAI Software Engineer (Junior / Associate)

Marktine Technology Solutions Pvt. Ltd.; Jaipur; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Marktine Technology Solutions Pvt ltd in Jaipur is seeking an execution-focused AI Software Engineer (Junior/Associate) to build production LLM applications, RAG pipelines, and agentic workflows. You will work with AI-assisted coding tools to write, test, and ship clean software quickly.

The role emphasizes Python, REST APIs, vector databases, and integrating models like Claude, OpenAI, Gemini. You will design structured outputs and guardrails, review code, and contribute to scalable backend

Qualifications

• Solid Python foundation with async and REST APIs.
• Experience leveraging AI tooling to guide code generation and reviews.
• Hands-on with vector DBs and embeddings for RAG pipelines.

Responsibilities

• Build, optimize, and maintain end-to-end RAG pipelines (ingestion, chunking, embeddings, vector indexing, retrieval, reranking).
• Integrate LLM APIs into scalable backend services using FastAPI or Python.
• Use AI-native coding setups to explore codebases, write tests, and accelerate deployments.

Skills

Python

Git

REST APIs

Async programming

AI tooling

Tools

FastAPI

LangChain

LlamaIndex

Chroma

Qdrant

Pinecone

Job description

Marktine Technology Solutions Pvt ltd | Full time

AI / GenAI Software Engineer (Junior / Associate)

We are seeking an execution-focused AI Software Engineer to build and ship production LLM applications, RAG pipelines, and agentic workflows. We want a developer whose daily workflow is already supercharged by AI-assisted coding tools (Claude Code, Cursor, Copilot) to build, test, and ship clean software fast.

What You’ll Do

• Build, optimize, and maintain end-to-end RAG pipelines (document ingestion, chunking, embeddings, vector indexing, retrieval, and reranking).
  
• Integrate LLM APIs (Anthropic Claude, OpenAI, Gemini, open-source models) into scalable backend services using FastAPI or Python.
  
• Use AI-native coding setups (Claude Code CLI, Cursor, GitHub Copilot) to explore codebases, write unit tests, and accelerate deployment cycles.
  
• Design structured outputs, function/tool calling, and agent workflows using frameworks like LangChain, LlamaIndex, or native SDKs.
  
• Implement basic evals, guardrails, and logging to reduce hallucinations, measure retrieval quality, and monitor API costs.
  

Core Requirements

• Programming: Solid foundation in Python (async, REST APIs, clean object-oriented code) and Git.
  
• GenAI & RAG: Hands-on experience with vector databases (e.g., Chroma, Qdrant, Pinecone, or pgvector) and embedding models.
  
• AI Tooling Native: Daily, active user of CLI or IDE agentic coding tools (Claude Code, Cursor, or similar)—you know how to guide AI agents and rigorously inspect generated code.
  
• Proof of Work: At least 1 shipped or working project beyond basic chat (e.g., semantic search tool, custom RAG on documents, automated agent, or GitHub repo).
  

Good to Have

• Familiarity with Docker, Linux environment, and basic cloud deployment (AWS/GCP).
  
• Experience with Model Context Protocol (MCP) or multi-agent orchestration frameworks.
  
• Exposure to front-end integration (Streamlit, Next.js, or React basics).