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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building agentic AI workflows, with strong proficiency in Python and experience in developing AI systems using frameworks like LangChain and Pydantic AI. Capable of implementing secure integrations and contributing to architectural decisions while ensuring reliable AI outputs through evaluation and observability.
Highest-signal resume keywords
Python DevelopmentAgentic AI EngineeringMCP (Model Context Protocol)AI Security and EvaluationCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringData AnalyticsAgentic AI Systems DevelopmentSystem Design and ArchitectureData AnalysisMulti-Agent IntegrationsLLM TestingSecure Data AccessCode GenerationResult Interpretation
Soft Skills
Strong OwnershipCommunication SkillsCollaboration Skills
Tools & Technologies
Pydantic AILangChainAzure OpenAIDockerPlotlyDashSQLPandasDuckDBFastAPI
Industry Keywords
Retail AnalyticsPricing AnalyticsPromotions AnalyticsClient-Facing AI Products
Tech Stack
Tools & technologiesAzureDockerPandasPythonReactSQL
About the role
Key responsibilities & impact- Design, build, and evolve agentic AI workflows for data exploration, analysis, and conversational insights
- Develop and improve an extensible agentic framework, including orchestration, reusable tools, skills, and conversation management
- Build secure integrations with application services and governed data sources, including sandboxed code execution and AI-powered data visualizations
- Design configurable solutions supporting client-specific prompts, tools, skills, and data definitions without duplicating the core architecture
- Develop MCP servers and clients to enable communication and data exchange between agents and applications
- Contribute to architectural decisions and the evolution and migration of the existing LangChain-based solution
- Implement LLM evaluation, testing, observability, and security controls to ensure accurate, reliable, and data-grounded AI outputs
- Own features end to end, from technical design and implementation to production release and continuous improvement, collaborating with cross-functional teams
Requirements
What you’ll need- 6+ years of experience in software engineering, data analytics, or related fields, including 2+ years in agentic AI engineering
- Strong Python development skills, with experience building, testing, and maintaining production-grade applications
- Hands-on experience building agentic AI systems using frameworks such as Pydantic AI, LangGraph, LangChain, or OpenAI Agents SDK
- Strong understanding of agentic patterns, including tool calling, multi-step orchestration, context management, guardrails, and human-in-the-loop workflows
- Experience with MCP (Model Context Protocol) and multi-agent or cross-application integrations
- Experience developing AI agents for data analysis, including dataset exploration, code generation and execution, and result interpretation
- Strong system design and architecture skills, including building configurable, extensible solutions and evaluating technical trade-offs
- Understanding of AI security, evaluation, and observability, including secure data access, LLM testing, tracing, and performance monitoring
- Strong ownership, communication, and cross-functional collaboration skills, with practical experience using AI coding assistants (Claude Code, Codex, or similar)
- Experience with Pydantic AI / Pydantic AI Harness and LangChain, particularly migration between frameworks (strongly preferred)
- Familiarity with SQL, pandas, DuckDB, or Ibis for data analysis (strongly preferred)
- Experience with Azure OpenAI, Docker, and analytical visualization tools such as Plotly or Dash (strongly preferred)
- Experience with retail, pricing, promotions analytics, or similar domains (nice-to-have)
- Experience delivering client-facing AI products from prototype to production (nice-to-have)
- Familiarity with React and FastAPI (nice-to-have)
Benefits
Comp & perks- Join a globally recognized consulting firm building innovative AI-powered products that solve real business problems
- Work with modern AI technologies and development tools, including Pydantic AI, MCP, Claude Code, Cursor, and OpenAI Codex
- Collaborate with experienced engineers and product teams in an environment that encourages experimentation, continuous improvement, and technical ownership