Generative AI Engineer
- Posted 19 days ago
- Be among the first 10 applicants
Job Description
We are looking for a hands-on Full Stack AI Engineer Manager with 7–8+ years of software development experience and strong expertise in Python, Machine Learning, Cloud, and Full Stack Development.
Key Skills:
- Strong hands-on Python development
- Full Stack: FastAPI/Flask/Django, React/Angular, JavaScript/TypeScript
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost
- AWS and/or Azure – Mandatory
- REST APIs, Microservices, Docker & Kubernetes
- CI/CD, DevOps, MLOps & IaC
- Strong knowledge of OOP, SOLID, Design Patterns & DDD
- Experience with scalable, distributed enterprise applications
- Relational & NoSQL databases
Good to Have:
- Generative AI, LLMs, RAG, AI Agents / Agentic AI
- LangChain, LangGraph, LlamaIndex, Semantic Kernel
- Vector Databases & Enterprise AI platforms
- AI-assisted development tools such as GitHub Copilot, Gemini, Cursor
More Info
Key Skills
SOLID Design Patterns
IaC
Scikit-learn
NoSQL databases
About Company
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:
Java, Apis, Scalability, Typescript, Containers, Python, AWS, LangChain, A2A MCP, Reliability, agent orchestration frameworks, operational requirements, event-driven APIs, CI CD, LangGraph, Security, AWS AgentCore, observability, cloud-native development
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:
containerization , Api Development, Gcp, Docker, Azure, Kubernetes, AWS, distributed computing frameworks, AI ML architectures, MLOps practices, LLM-based solutions, integration pipelines, CI CD pipelines, Large Language Models
Skills:
structured programming , Github, Numpy, Pandas, AWS, multithreading, Python, LLMs, AWS AI ML services, CI CD, API integrations, LangChain, Agentic AI, Llama Index, Generative AI