REF83023G- Assistant Manager WTS, Agentic AI, Python, AIML, AWS, 5+ years experience.
REF83023G- Assistant Manager WTS, Agentic AI, Python, AIML, AWS, 5+ years experience.
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Job Description
Develop agentic AI workflows using LangChain/LangGraph with custom tools memory decision logic and MCP integrations. Implement LLM applications with advanced prompt engineering (structured outputs function calling context management) and build RAG pipelines with vector databases. Build and deploy event-driven AI services on AWS using Bedrock SageMaker Lambda EventBridge Step Functions API Gateway DynamoDB and S3. Write clean testable Python code; create unit/integration tests; and package solutions with CI/CD pipelines (GitHub Actions). Monitor and optimize AI application performance through logging metrics token usage and cost management. Integrate AI services with APIs backend systems and databases to ensure secure and reliable data flow. Contribute to document AI and predictive analytics models for information extraction classification and forecasting. Fine-tune Hugging Face Transformer models (BERT RoBERTa LayoutLM DistilBERT) and train neural networks (PyTorch/TensorFlow) for supervised tasks. Implement data preprocessing and annotation workflows for training and evaluation. Work with OCR and text-processing tools (AWS Textract Tesseract) for semi-structured/unstructured documents.
Qualifications :
5 years in software engineering including 3 years in AI/ML or Generative AI systems. Proven development experience with LLM frameworks (LangChain LangGraph) and LLM APIs (Claude OpenAI Llama Titan). Hands-on experience with AWS Bedrock and SageMaker for AI/ML workloads. Strong Python skills (async data structures optimization). Practical experience with vector databases (Pinecone ChromaDB FAISS OpenSearch) for RAG implementations. Familiarity with event-driven AWS services (Lambda EventBridge Step Functions API Gateway DynamoDB S3 CloudWatch). Exposure to document AI and predictive analytics including Hugging Face Transformers classification and extraction pipelines. Understanding of data preprocessing and OCR workflows for document pipelines.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
