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Job Description
Key Responsibilities
- Design and develop AI agents using LLMs (GPT, Claude, Llama, Gemini, etc.)
- Build multi-agent systems for complex workflows
- Integrate AI agents with APIs, databases, and enterprise applications
- Develop Retrieval-Augmented Generation (RAG) solutions
- Implement memory, planning, reasoning, and tool-calling capabilities
- Create AI workflows using orchestration frameworks
- Optimize prompts, evaluate agent performance, and reduce hallucinations
- Deploy AI applications on cloud platforms
- Monitor, secure, and scale AI systems
- Python (Mandatory)
- JavaScript/TypeScript (Preferred)
- SQL
AI/ML
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Fine-tuning basics
- Embeddings
- Vector Databases
Agent Frameworks
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
RAG
- Document ingestion
- Chunking
- Embeddings
- Vector search
- Hybrid Search
- Knowledge Graphs
Skills: agentic ai,ai engineer,genai,gen ai engineer,python,llm
Skills
PythonAi/mlPrompt EngineeringLarge Language ModelsAi EngineerAiMlSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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