AI / GenAI Software Engineer (Junior / Associate)

Marktine Technology Solutions; Jaipur; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Marktine Technology Solutions Pvt ltd in Jaipur is seeking a Junior/Associate AI Software Engineer to build and ship production LLM applications, RAG pipelines, and agentic workflows. You will leverage AI-assisted coding tools to write tests, ship features, and accelerate deployment cycles.

The role emphasizes hands-on development with Python, vector databases, and integration of various AI APIs, with opportunities to grow in a fast-paced AI-focused environment.

Qualifications

• Strong Python skills: async, REST APIs, OO design.
• Experience with GenAI/RAG and vector databases.
• Familiarity with AI tooling for coding and agent workflows.
• Proven shipped project beyond chat (e.g., semantic search, RAG on docs).

Responsibilities

• Build end-to-end RAG pipelines and document ingestion.
• Integrate LLM APIs into scalable backend services.
• Leverage AI tooling to explore codebases and write tests.
• Design outputs and agent workflows using LangChain or SDKs.
• Implement evals, guardrails, and monitor costs.

Skills

Python

REST APIs

Git

AI tooling

LangChain

Tools

Chroma

Qdrant

Pinecone

pgvector

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).