to design, develop, and scale modern AI solutions leveraging GenAI, LLMs, and Agentic AI. The ideal candidate will work across data, engineering, and business teams to deliver intelligent applications, RAG pipelines, AI agents, and document automation workflows using AWS-native AI services.
Experience Range (Required Skills)
5+ years
in software engineering or data science.
1+ year
hands-on experience with
GenAI, LLMs, or Agentic AI .
Proficiency in
Python , REST APIs, and JavaScript/TypeScript frameworks ( React, Node.js ).
Experience working with cloud-native infrastructure:
Docker, CI/CD pipelines .
Hands-on experience with
using LangChain, AutoGen, LlamaIndex, or LangGraph.
Ingest, process, and prepare structured/unstructured data-chunking, embeddings, parsing, retrieval.
Create intuitive
front-end experiences
powered by LLM and agent-based intelligence.
Integrate enterprise AI tools such as:
Claude
GPT-4/4o / ChatGPT Enterprise
Copilot
Glean
Shelf
Drive advanced
document automation , including summarization, translation, and named-entity recognition (NER).
Implement
observability, governance, and responsible AI
practices in compliance with enterprise regulations.
Partner with cross-functional teams (IT, data, risk, compliance, business) to deliver user-facing AI solutions.
Required Skills & Experience
Hands-on experience developing AI solutions using GenAI/LLM frameworks.
Strong expertise in Python and API development (REST).
Experience with modern frontend concepts (React, Node.js).
Knowledge of embeddings, vector stores, retrieval workflows, and LLM orchestration.
Experience with AWS AI services and cloud-native development patterns.
Competencies
Strong problem-solving and analytical thinking.
Excellent communication and collaboration across technical & business stakeholders.
Ability to work in fast-paced, innovation-driven environments.
Self-starter with strong ownership of solution delivery.
Preferred Skills
Experience with LangChain, AutoGen, LlamaIndex, or LangGraph.
Prior exposure to enterprise AI platforms such as Glean or Shelf.
Understanding of responsible AI, security, governance, and observability frameworks.
Experience building UI/UX for AI-driven applications.