AI Engineer at iProgrammer Solutions — Maharashtra, IND | Base Career | Base CareerIAI Engineer
PythonBackend developmentLarge language model applicationsRAG architectureEmbeddings and semantic searchVector databases
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Key skills for this role
PythonBackend developmentLarge language model applications
Smart ApplyRole Overview
iProgrammer Solutions is hiring an AI Engineer to build production-oriented GenAI applications and backend AI services.
The role offers two vacancies and requires 1–3 years of experience.
Key Skills for This Role
PythonBackend developmentLarge language model applicationsRAG architectureEmbeddings and semantic searchVector databases
Full Job Posting
Role Overview
iProgrammer Solutions is hiring an AI Engineer to build production-oriented GenAI applications and backend AI services.
The role offers two vacancies and requires 1–3 years of experience.
Work Location and Mode
- The work location is Pune.
- The work mode is work from office.
Key Responsibilities
- Build GenAI applications including chatbots, assistants, recommendation systems, and document intelligence solutions.
- Develop RAG pipelines covering ingestion, chunking, embeddings, vector search, retrieval, reranking, and generation.
- Develop Python backend AI services with FastAPI, REST APIs, and microservices.
- Implement classification, extraction, parsing, structured outputs, guardrails, and safety controls.
- Optimize AI systems for latency, accuracy, reliability, token usage, and scalability.
- Integrate AI workflows with business systems and create evaluation and regression testing assets.
- Collaborate with product, backend, DevOps, and business stakeholders.
Required Skills
- Strong hands-on Python and backend development experience.
- Experience building LLM applications with commercial or open-source models.
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Understanding of RAG, embeddings, vector databases, semantic search, hybrid search, and retrieval optimization.Experience with LangChain, LangGraph, LlamaIndex, or similar tools.Experience with prompt engineering, structured outputs, function calling, and JSON schema responses.Understanding of LLM guardrails, safety filters, fallback handling, confidence scoring, and hallucination control.Experience with FastAPI, Flask, or Django, REST APIs, and backend integration.Understanding of Docker, Git, Linux basics, and deployment workflows.Ability to debug production AI issues involving latency, retrieval, context, token limits, and model inconsistency.Candidate Profile
- One to three years of experience.
- BE, BTech, MTech, MCA, or equivalent practical experience in computer science, AI/ML, data science, or IT.
- At least one real-world AI or GenAI application involving LLMs, backend integration, RAG, or production deployment.
- Ability to explain implementation details clearly, beyond theoretical AI concepts.
Good to Have Skills
- Experience with vLLM, Ollama, Hugging Face Transformers, TensorRT-LLM, or other model-serving frameworks.
- Knowledge of quantization, inference optimization, batching, GPU utilization, or token streaming.
- Experience deploying AI/ML systems on AWS, Azure, or GCP.
- Experience with multilingual AI, especially Hinglish or Indian language handling.
- Experience with monitoring, logging, prompt/version management, or AI evaluation frameworks.
- Knowledge of MCP, agentic workflows, tool-based reasoning, or multi-step orchestration.
About iProgrammer Solutions
iProgrammer Solutions provides web application, mobile application, and digital transformation services to businesses worldwide.
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