AI Engineer
Job Description
We're looking for strong Applied AI / LLM Engineers who enjoy building AI applications that actually make it into production for one of our clients in Pune.
Pune
Experience: 3–6 years
Notice Period: 0–30 days (Official Notice period)
What we're looking for:
• Strong Python + software engineering fundamentals
• Hands-on experience building production-grade AI/LLM applications
• LLM APIs, Agents & Tool Calling
• RAG, Retrieval, Embeddings & Vector Search
• LangChain / LangGraph
• Structured Outputs & LLM Evaluation
• Document AI / FastAPI experience is a plus
Preferred background: CS / Engineering / AI / ML / Mathematics / Statistics
We value candidates who have built and shipped real AI products, not just experimented with GenAI tools.
More Info
Key Skills
About Company
Skills:
Nlp, Machine Learning, Python, embeddings, precision recall optimization, RAG vector databases, model evaluation techniques, semantic search, deploying AI applications in cloud environments, Llm
Skills:
Azure Databricks, Microservices, Docker, Cloud Services, Rest Apis, Kubernetes, Python, AI orchestration frameworks, Prompt engineering, Software Engineering Application Development, AI Engineering Generative AI, Generative AI solution design, Large Language Model LLM application development, Developing agentic AI workflows, Feature engineering, CI CD pipelines, Data pipelines, Building deploying and maintaining AI-powered applications, Event-driven architectures
Skills:
AI ML, Sql, Typescript, Javascript, Gcp, Terraform, Azure, Python, LangChain, Infrastructure as Code, Generative AI, Anthropic Gemini, LLMs, pgvector, ADK, Azure OpenAI, LangGraph
Skills:
Api Development, Deep Learning, Tensorflow, Nlp, Pytorch, Elasticsearch, Python Programming, Flask, Keras, FastAPI, LangChain, Generative AI, Scikit-learn, Pinecone, Azure OpenAI, LangGraph, FAISS, Weaviate, Prompt Engineering
Skills:
.NET, process mining , Java, Uipath, Api Management, Power Platform, Sap Ecc, Typescript, Azure Functions, Javascript, Python, DevOps practices, Cognitive Services, Microsoft Dynamics, Azure-based services, Azure OpenAI, prompt engineering, Kingdee, retrieval-based approaches, workflow automation tools, cloud-native architectures, agent orchestration