- Technical Consultant –
- AI Integration positions, AWS is a mandatory skill along with AI experience. This requirement is clearly specified in the JD as well. Please find the JD below -
6-10 years of total experience with strong hands-on expertise in building: LLM-based applications Retrieval Augmented Generation (RAG) systems AI agents and agentic workflows Proven experience with vector databases, including end-to-end design and implementation of RAG pipelines. Hands-on experience in implementing: AI guardrails Secure prompt engineering Controls for hallucination, prompt injection, and data protection Programming &
- Frameworks:
Strong proficiency in Python Hands-on experience with LangChain and LangGraph Valuable exposure to ML frameworks such as TensorFlow and Keras Cloud &
- GenAI Platforms: Experience with AWS Bedrock Exposure to AWS AgentCore Working knowledge of related AWS services such as Kinesis Exposure to Engineering Productivity and AI-assisted developer tools.
Request you to share your updated resume at [HIDDEN TEXT] with few details as below:
- Total experience:
- Relevant Experience:
- Current Company:
- Current CTC:
- Expected CTC:
- Notice:
- Reason for change:
- Current Location:
- Preferred location:
Skills: Tensorflow, Keras, Kinesis, Aws, Python Experience: 6.00-10.00 Years
📌 Technical Consultant-AI Integration (Pune and Chennai)
🏢 Cvali
📍 Pune
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