AI / GenAI Software Engineer (Junior / Associate)
Marktine Technology Solutions Pvt. Ltd.10+ yrsJaipurOn-siteDirect career pageEst. 18–30 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, optimize, and maintain end-to-end Retrieval-Augmented Generation (RAG) pipelines including document ingestion, chunking, embedding, vector indexing, retrieval, and reranking.
- Integrate and deploy Large Language Model (LLM) APIs (e.g., Anthropic Claude, OpenAI, Gemini, open-source models) into scalable Python FastAPI backend services.
- Design and implement agentic workflows, structured outputs, function/tool calling using frameworks like LangChain or LlamaIndex, with a focus on testing, logging, hallucination mitigation, and cost monitoring.
Minimum Requirements
- Strong proficiency in Python programming including async, REST APIs, and object-oriented design, and solid Git knowledge.
- Hands-on experience with vector databases (Chroma, Qdrant, Pinecone, pgvector) and embedding models related to GenAI and RAG.
- Daily active use of AI-assisted coding tools such as Claude Code CLI, Cursor, or GitHub Copilot with ability to guide AI agents and inspect generated code.
- Work Experience Required: At least 1 shipped or working project beyond basic chat related to semantic search, custom RAG implementations, automated agents, or equivalent GitHub repositories.
Ideal Candidate Profile
- Experienced with AI-native development workflows leveraging agentic coding tools for rapid development and deployment.
- Comfortable working with LLM integration and scalable backend service construction using Python frameworks like FastAPI.
- Familiar with end-to-end GenAI system components including vector DBs, embeddings, agent orchestration, and evaluation techniques to monitor model behavior and API costs.