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Job Description
Experience: 6–10 Years
Employment Type: Contract
Key Responsibilities
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs)
- Build and optimize RAG (Retrieval-Augmented Generation) solutions and AI agents
- Integrate LLMs such as OpenAI GPT, Claude, Gemini, or Llama into enterprise applications
- Develop scalable AI solutions using Python, LangChain, LlamaIndex, and vector databases
- Collaborate with business and technical teams to translate requirements into AI-driven solutions
- Ensure performance, security, and reliability of GenAI applications.
Required Skills
- Strong experience with Python and AI/ML development
- Hands-on experience with Generative AI, LLMs, RAG, and prompt engineering
- Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar framework
- Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS
- Experience with cloud platforms such as Azure OpenAI, AWS Bedrock, or Google VertexAI
- Excellent problem-solving and communication skills
Preferred
- Experience building AI agents and multi-agent systems
- .Exposure to MLOps, model deployment, and AI governance frameworks
Skills
PythonAi/mlPrompt EngineeringLarge Language ModelsAiMlAi EngineerIf 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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