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Skills

Agentic AI
Gen AI
Cross-functional Team
Mentorship
Offshore Teams
Model Context Protocol
Large language Models
Langchain
Langraph
RAG
Team leadership
Azure AI
AWS Bedrock

Summary

Position Summary: Title: Developer Standard III
Duration: 6 Months - Long Term
Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon Required Qualifications:

Master s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Engineering, or related discipline.
Minimum 10 years of professional experience in software engineering and enterprise solution delivery .
Minimum 5 years of experience in cloud architecture and modern application development.
Demonstrated experience delivering AI/ML and Generative AI solutions in large enterprises.
Proven experience leading cross-functional engineering teams. Experience delivering solutions using Agile and Scrum methodologies.

Technical Expertise Artificial Intelligence:

Large Language Models (GPT, Claude, Gemini, Azure OpenAI, or equivalent).
Agentic AI architectures.
Multi-agent systems.
Prompt Engineering and Context Engineering.
Retrieval-Augmented Generation (RAG).
Semantic Kernel, LangGraph, AutoGen, CrewAI, MCP, or equivalent frameworks.
NLP, sentiment analysis, classification, summarization, and knowledge management.

Cloud & Platforms:

Microsoft Azure (preferred).
AI Foundry, Azure OpenAI.
AKS, Containers, Serverless Functions.
Azure Storage, Cosmos DB, SQL Database.
DevOps, CI/CD pipelines, Infrastructure as Code.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Software Development

.NET/C#, Python, JavaScript/TypeScript.
REST APIs and microservices.
Enterprise integration patterns.
Full SDLC experience.

Preferred Qualifications:

Experience designing Agentic AI solutions for Incident Management, Service Management, Grievance Management, Environmental & Social systems, or enterprise workflow automation.
Experience with Responsible AI, AI Governance, and model monitoring.
Microsoft Azure AI certifications and Scrum certifications.
Experience designing AI-enabled digital platforms for large international organizations, development institutions, or regulated industries.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10114908
Position Id: 9041457
Posted 1 day ago

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Jeevan Shreemukh

General Manager @ Mindlance

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AI Technical Lead

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Jeevan Shreemukh

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