Generative AI Engineer
- Posted 14 hours ago
- Be among the first 10 applicants
Job Description
Qualifications
- 3–6 years of software development experience
- Education Qualification - BE / B.Tech / MCA
Required Skills
- Strong hands-on experience with Python
- Strong understanding of Generative AI and Large Language Models (LLMs)
- Experience developing LLM-based applications
- Good understanding of Agentic AI concepts and AI agent architectures
- Experience with RAG pipelines
- Strong knowledge of Prompt Engineering
- Experience with REST APIs and microservices
- Good understanding of Git, CI/CD, testing, and software engineering practices
AI / Gen AI Skills
- Experience with LLM APIs such as OpenAI / Azure OpenAI / Anthropic / Gemini
- Experience with function/tool calling
- Experience building AI agents capable of performing multi-step tasks
- Knowledge of LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks
- Understanding of vector databases
- Knowledge of LLM evaluation and observability
- Understanding of AI safety, guardrails, and responsible AI practices
More Info
Key Skills
LangChain
Generative AI
AI safety guardrails
AI agent architectures
vector databases
Semantic Kernel
LangGraph
Agentic AI concepts
AI agents
function tool calling
RAG pipelines
LLM-based applications
responsible AI practices
Prompt Engineering
LlamaIndex
LLM evaluation
observability
About Company
Skills:
DVC), MLOps tools (MLflow, Numpy, Docker, XGBoost, Python, AWS, Sql, Git, Pandas, Gcp, FastAPI, Rest Apis, Prompt engineering, scikit-learn, Monitoring frameworks, Embeddings, LangChain, RAG workflows, Serverless platforms, LightGBM, Similarity search, LlamaIndex, AgenticAI
Skills:
.NET, Docker, Python, Workflows, React, Postgressql, FastAPI, VSCode, Azure Document Intelligence, Azure Search, CoT, Github Copilot, Agent Orchestration, Agent Memory, Autogen, Azure Open AI, Open Telemetry, Semantic Kernel, Langgraph, FAISS, RAG, Microsoft Agent Framework, MCP, Prompt Engineering, Retrieval Augmented Generation, sentence transformers, pgVector
Skills:
Machine Learning, Tensorflow, Django, Devops, Typescript, React, Rest Apis, MLops, Angular, Pytorch, Flask, XGBoost, Oop, Javascript, Microservices, AWS, FastAPI, Kubernetes, Python, Azure, Docker, SOLID Design Patterns, IaC, Ddd, Scikit-learn, NoSQL databases
Skills:
Sql, Microservices, Nosql, Django, MLops, Flask, FastAPI, Restful Apis, Azure, Kubernetes, Python, Model Evaluation, Core AI, Llm, AIML, Docket, Data Processing Pipelines, RAG, MCP, Event-driven Architectures, Observability
Skills:
Python Programming, Generative AI tools and frameworks, Databases and data pipelines, MLOps tooling, Cloud-based machine learning environments