Experience: 3- 5 years

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

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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
- Positive 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)

📌 AI Engineer _Rishabh software_Immediate (Ahmedabad)
🏢 Rishabh Software
📍 Ahmedabad