AI Engineer
Job Description
Key Skills
- Agentic AI / AI Agents
- Python or Java
- LLMs & Generative AI
- RAG & Vector Databases
- LangChain / LangGraph / AutoGen / CrewAI
- REST APIs & Microservices
- Prompt Engineering
- AI Workflow Automation
- Design and develop AI agents and agentic workflows
- Build scalable backend services using Python or Java
- Integrate LLMs, APIs, tools, and external systems into AI workflows
- Develop RAG-based solutions and intelligent automation
- Design multi-step AI workflows with tool/function calling
- Evaluate, monitor, and optimize AI agent performance
- Collaborate with engineering and product teams to deliver production-ready AI solutions
More Info
Key Skills
LangChain
CrewAI
GenAI
Generative AI
AI Agents
LLMs
LangGraph
AutoGen
Vector Databases
Agentic AI
RAG
Prompt Engineering
Retrieval Augmented Generation
AI Workflow Automation
LLM tuning
About Company
Skills:
bedrock , Orchestration, Docker, Python, MLops, Databricks, FastAPI, Kubernetes, Azure AI Stack, Pinecone, Azure OpenAI, CI CD, OpenSearch, LangSmith, Vector Databases, AI Evaluation, Ragas, Observability, LangChain, PEFT, Document Intelligence Solutions, Multi-Agent Architectures, Semantic Kernel, SageMaker, AWS AI Stack, LoRA, Conversational AI, LLM Fine-tuning, Prompt Engineering, LlamaIndex, AI Search
Skills:
Natural Language Processing, Power Platform, Conversational AI, Microsoft Copilot, Generative AI, LLMOps, AI Engineering, Microsoft Graph, Azure AI services
Skills:
BigQuery, API design, Tensorflow, Git, Pytorch, Terraform, XGBoost, Python, LangChain, Generative AI, Tekton, scikit-learn, AI ML Development, AutoGen, Cloud Run, Vertex AI, LlamaIndex
Skills:
query builder , Angular, Spring Boot, Jpa, Java, T-sql, Scss, RDBMS, Jasper Reports, Rest Apis, Powerbuilder, AI tools
Skills:
Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, LLaMA, Hugging Face, Claude, Pinecone, GPT, FAISS, Milvus, Weaviate, LlamaIndex, Stable Diffusion