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Generative AI Engineer with 2+ years in AWS Bedrock & Agent Orchestration
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Gen AI Engineer with 2+ years of production experience building Generative AI solutions on AWS — conversational AI, RAG-based systems, and intelligent automation platforms. Strong hands-on expertise with Amazon Bedrock and foundation model integrations, agent orchestration using LangChain and LlamaIndex, advanced Python (3.9+), and vector database/semantic search implementations. Comfortable working client-facing remote engagements supporting US-based companies across EST hours. Currently expanding AWS data engineering skills (Glue, Athena, serverless architectures) to complement existing GenAI and agentic AI depth.
OneOfficeAutomation
Generative AI Engineer
January 1, 2024 – Present
India
AGEN — Agentic AI Platform on AWS
January 1, 2024 – June 30, 2026
Built a production agentic AI platform with multi-agent orchestration (LangChain, LangGraph), foundation model integration patterns analogous to Bedrock agent workflows, and FastAPI REST layer. Deployed on AWS with Docker and CI/CD.
View ProjectEnterprise RAG & Vector Search System
January 1, 2024 – June 30, 2026
Architected a production RAG system — document ingestion, embedding generation, vector indexing, semantic search, and reranking. Designed for structured/unstructured enterprise data handling and AWS-deployed retrieval.
View ProjectOpenReception — Client-Facing Conversational AI
January 1, 2024 – June 30, 2026
Shipped a production conversational AI platform for real client engagements — RAG knowledge retrieval, LLM orchestration, and direct client requirement gathering through delivery.
View ProjectMulti-Agent Data Pipeline Automation
January 1, 2024 – June 30, 2026
Built automated data ingestion and processing pipelines — Python-based ETL workflows feeding AI knowledge systems, with validation and structured transformation layers.
View ProjectCultural Fit Analysis
The candidate's project diversity, including agentic AI platforms, enterprise RAG systems, and client-facing conversational AI, indicates a broad and adaptable skill set relevant to various Generative AI challenges. Their current role as a Generative AI Engineer aligns perfectly with the target role. The stated interest in deepening AWS data engineering skills suggests a proactive and continuous learning attitude, which is a strong cultural fit for innovative and evolving technical environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through direct client engagement experience and a clear understanding of translating business requirements into technical solutions. Their proactive approach to expanding AWS data engineering skills indicates a growth mindset and adaptability. The candidate's availability for US EST hours and remote work further enhances operational fit for distributed teams.