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AI Engineer iProgrammer

Pune

1-3 years

Today

$14.5K–22.9K/yr

Full time

Onsite

Skills Required

LLM

RAG

LangChain

LlamaIndex

Gen AI

OpenAI

Claude

Gemini

Mistral

Embeddings

Vector Database

Prompt Engineering

LLM guardrails vLLM

Hugging Face

Description iProgrammer Solutions is seeking candidates with 1-3 years of experience to design and develop GenAI-powered applications and backend AI services.

Company: iProgrammer Solutions

Location: Pune | Work from Office (WFO)

Experience

- 1-3 years

Qualification

- BE
- BTech
- MTech
- MCA
- Computer Science
- AI/ML
- Data Science
- IT
- equivalent practical experience

Responsibilities

- Design, develop, and maintain GenAI-powered applications such as chatbots, customer support assistants, recommendation assistants, and document/query intelligence systems
- Build and optimize RAG pipelines including document ingestion, chunking, embeddings, vector search, retrieval logic, reranking, and response generation
- Work on LLM orchestration using frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools
- Develop backend AI services using Python, FastAPI, REST APIs, and microservice-based architecture
- Implement intent classification, entity extraction, query parsing, and structured JSON output generation for business workflows
- Work with open-source and cloud-based LLMs, including local model setup, model serving, and inference optimization
- Implement guardrails to prevent hallucination, unsafe responses, competitor comparisons, irrelevant answers, prompt injection, and data leakage




- Optimize AI systems for latency, accuracy, reliability, token usage, and scalability
- Integrate AI workflows with backend systems, databases, APIs, CRM/ERP systems, payment flows, and business applications
- Create evaluation datasets, regression test cases, accuracy reports, and failure analysis for AI responses
- Collaborate with product managers, backend developers, DevOps teams, and business stakeholders to convert business requirements into scalable AI solutions

Additional Responsibilities

- Explain implementation details clearly, not just theoretical AI concepts

Nice To Have

- Experience with vLLM, Ollama, Hugging Face Transformers, TensorRT-LLM, or other model serving frameworks
- Knowledge of model quantization, inference optimization, batching, GPU utilization, and token streaming
- Experience with AWS, Azure, or GCP for AI/ML deployment
- Exposure to telecom, fintech, customer support, billing, recharge, payments, or high-scale consumer applications
- Experience in multilingual AI systems, especially Hinglish or Indian language handling
- Understanding of ASR/transcription-based input normalization
- Experience with monitoring tools, logging, prompt/version management,



and AI evaluation frameworks
- Knowledge of MCP, agentic workflows, tool-based reasoning, or multi-step AI orchestration

More Skills Python, FastAPI, REST APIs, microservice-based architecture, Llama, LangGraph, semantic search, hybrid search, retrieval optimization, FAISS, ChromaDB, Pinecone, Weaviate, Qdrant, Milvus, pgvector, system prompts, structured output generation, function calling, tool calling, JSON schema-based responses, safety filters, fallback handling, confidence scoring, hallucination control, Flask, Django, Docker, Git, Linux basics, debugging production AI issues

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 50 RAG Interview Questions

Zenaique

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Top 50 Prompt Engineering Interview Questions

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