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AI Engineer _Rishabh software_Immediate

  • Source: Naukri
  • Rishabh Software
  • On-site
  • Ahmedabad
  • Full-Time
  • Mid level

Job Description

Experience: 3- 5 years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad

Job Description:

We are looking for a hands-on AI Engineer to build and maintain production-grade Generative AI applications. You will be responsible for implementing RAG pipelines, fine-tuning prompts, and developing scalable APIs that power our AI systems using modern open-source frameworks.

The ideal candidate will have strong expertise in LLMs, RAG pipelines, AI agents, and API-driven architecture. He/she should drive end-to-end project delivery, build production-grade systems using LLMs, RAG pipelines, and AI agents.

Technical Qualifications (Essential)

  • Strong Python programming
  • Experience with FastAPI based API development
  • Knowledge of NLP frameworks & techniques
  • Hands-on with Vector Databases (Milvus/FAISS/Pinecone/Weaviate)
  • Expertise in LLMs, RAG, embeddings
  • Familiarity with Docker, Kubernetes
  • Basic understanding of cloud platforms - AWS / Azure / GCP

Primary Skills

  • Generative AI: RAG pipelines, embeddings, semantic search, LLM inference, fine-tuning.
  • Prompt Engineering: Context design, optimization techniques, advanced prompt engg techniques
  • AI Agentic Frameworks: LangChain, LangGraph, LangSmith
  • API Development: Scalable, AI-integrated services

Secondary Skills

  • Cloud deployment
  • MLOps / LLMOps practices
  • Performance & cost optimization
  • Data engineering fundamentals
  • Good to have - Statistical techniques such as Logistic Regression Multivariate Regression, Stochastic Processes, Decision Trees, common clustering algorithms, Optimization etc.,

Experience

  • 3+ years in AI/ML/GenAI
  • Delivered 1-2 end-end AI/Gen AI projects
  • Built 1 Agents/agent-based applications

Functional & Technical Responsibilities

  • Design & develop AI/GenAI solutions (RAG, agents)
  • Develop & optimize prompts and LLM workflows
  • Build scalable APIs and backend systems
  • Awareness of deployments (Docker/K8s)

Skills

  • Python
  • FastAPI
  • Milvus
  • FAISS
  • Docker
  • Kubernetes
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • LangChain
  • LangGraph

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