Explore more
About the role
- Develop and optimize AI-powered enterprise level agentic applications using LangChain, LangGraph, n8n, MCP, Vertex AI, Deep Agents, A2UI, BMAD and FastAPI, AWS Bedrock, Vertex, Azure AI foundry
- Work with Generative AI, LLM, Deep Learning, Computer Vision, NLP, Transformers, RAG, Fine Tuning, Reinforcement Learning, Scikit-Learn, XGBoost, LightGBM
- Participate in code reviews to ensure code quality and adherence to standards
- Create and maintain documentation for code and software features
- Collaborate with other developers, designers, and product managers to understand requirements and deliver solutions
Requirements
- Bachelor Degree in relevant field with 6- 8 years of relevant experience
- Experience with Python frameworks like LangChain, LangGraph, agentic workflows
- Deep knowledge of AWS Bedrock services, Vertex AI, Azure AI Foundry
- Must be experienced in AWS Textract, Comprehend, AWS Q Business, Agentic engines, S3, Lambda, Kendra, DynamosDB, MongoDB
- Hands on experience on any of Snowflake, Databricks, Kafka for event-driven architecture, GraphQL tools
- Exposure to technologies like Computer Vision, different Agentic engines, the finetuning of the models, building scalable enterprise level solutions
- Experience with .net, C# or Java for writing the micro web services
- Hands-on experience with LLM interactions, prompt tuning, OpenAI/AWS Bedrock.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonLangChainLangGraphDeep LearningComputer VisionNLPTransformersReinforcement LearningAWS TextractAWS Lambda
Soft Skills
collaborationcode reviewdocumentation