Remote senior or staff-level AI engineering role where I can design and own production GenAI systems end to end: RAG, agentic workflows, and LLM platforms. I value teams that take evaluation, observability, and security seriously. Especially interested in enterprise or regulated settings like healthcare. Based in Texas (US Central) and comfortable working across time zones.

Harshit Parekh
@harshitparekh
Senior AI Engineer at Elevance Health who built CareAssist, cutting clinical documentation effort by 35%.
What I'm looking for
At Elevance Health, I built CareAssist with Python, FastAPI, Clinical NLP, and RAG to turn clinical conversations into structured documentation and retrieve relevant patient context. It cut documentation effort by 35% while preserving source traceability and controlled access.
I also developed NexusAI, a knowledge retrieval platform that reduced time spent locating information by 40%, and built governed agent integrations and production evaluation workflows. At Apple, I developed data and conversational analytics platforms, including DataSphere, which reduced recurring data-pipeline incidents by 30%.
Experience
Work history, roles, and key accomplishments
Built CareAssist with Python, FastAPI, Clinical NLP, and RAG to convert clinical conversations into structured documentation, cutting documentation effort by 35%. Developed NexusAI, a knowledge retrieval platform using LangChain, Azure AI Search, and pgvector, reducing time spent locating information by 40%.
Built InsightFlow, a conversational analytics platform using Python, SQL, Snowflake, BigQuery, Databricks, and semantic models, cutting routine analytics turnaround by 50%. Developed Orion, a multi-agent operations platform with Python, LangGraph, Kubernetes, Terraform, and OpenTelemetry.
Engineered backend services with Java, Go, Python, Node.js, SQL, REST APIs, PostgreSQL, and MongoDB for high-volume internal applications. Improved reliability of distributed services through Kafka, caching, automated testing, and observability.
Automated application delivery with Docker, Kubernetes, Terraform, CI/CD, and release validation, standardizing deployment practices. Developed DataSphere with Python, dbt, Airflow, Kafka, Snowflake, and Databricks, reducing recurring data-pipeline incidents by 30%.
Software Engineer
Adons Softech
Jun 2012 - Jul 2014 (2 years 1 month)
Developed enterprise applications with Java, C#, JavaScript, SQL, REST, and SOAP, translating business requirements into backend services and production features. Optimized SQL queries and stored procedures, improving processing performance by 25% for data-intensive workflows.
Education
Degrees, certifications, and relevant coursework
University of the Cumberlands
Master of Science, Information System Security
2018 - 2019
Master of Science in Information System Security from the University of the Cumberlands from 2018 to 2019.
Northwestern Polytechnic University
Master's Degree, Computer Science
2015 - 2016
Master's Degree in Computer Science from Northwestern Polytechnic University from 2015 to 2016.
Tech stack
Software and tools used professionally
Snowflake
Tableau
Looker
Kubernetes
GitHub Actions
Salesforce
dbt
PostgreSQL
MongoDB
Node.js
Next.js
Databricks
Terraform
Azure DevOps
React
JavaScript
Python
Java
C#
Go
C++
Kafka
FastAPI
OpenTelemetry
Datadog
Gemini
OpenSearch
Serverless
TypeScript
sso
Docker
Airflow
Honeycomb
SQL
Prefect
ServiceNow
Dagster
LangChain
LlamaIndex
Cloudflare Workers
OpenAI API
Cursor
DeepEval
Langfuse
GitHub Copilot
Ragas
pgvector
Braintrust
LangGraph
LangSmith
Promptfoo
Claude Code
Agentforce
ChatGPT
Azure AI Foundry
Power BI
AWS
Microsoft Sentinel
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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