Software Engineer Python - Advanced | Columbus, US | JPMC

JobCubby; Columbus (OH); On-site; USD 42,000 - 147,000; Full time

Job summary

JobCubby is seeking an Advanced Python Engineer / Agentic AI FDE to design, develop, and deploy production-grade agentic AI solutions. You will work with client engineering and product teams to translate business requirements into scalable Python services, APIs, and integrations, leveraging LLMs and modern AI frameworks.

The role demands strong software fundamentals, experience with AI frameworks, and excellent problem-solving skills in a fast-paced client environment.

Qualifications

• Bachelor's degree in CS or related field.
• 5+ years software engineering experience with strong Python development.

Responsibilities

• Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
• Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
• Develop production-grade Python services, APIs, integrations, and backend components.
• Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
• Implement agent workflows using LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or equivalent frameworks.

Skills

Python

OOP & Data structures

Async programming

API development

Testing & debugging

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

LangChain

LangGraph

OpenAI Agent SDK

Google ADK

CrewAI

AutoGen

REST APIs

Job description

Role Overview

We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands‑on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.

The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production‑grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client‑facing problem‑solving skills.

Key Responsibilities

• Design and develop scalable Agentic AI applications and AI‑powered solutions using Python.
• Build, integrate, and optimize AI agents, multi‑agent workflows, tools, and orchestration pipelines.
• Develop production‑grade Python services, APIs, integrations, and backend components.
• Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
• Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
• Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
• Develop and consume REST APIs, microservices, and event‑driven integrations.
• Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
• Work with cloud‑based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
• Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
• Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
• Participate in client discussions, technical workshops, solution demonstrations, and proof‑of‑concepts.
• Troubleshoot complex technical issues and provide hands‑on engineering support during implementation.
• Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.

Required Technical Skills

Python – Advanced

• Strong hands‑on expertise in Python.
• Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
• Experience building production‑grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
• Strong understanding of testing, debugging, logging, packaging, and dependency management.

Agentic AI / Generative AI

• Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
• Hands‑on experience with one or more agent frameworks such as:
  • LangChain / LangGraph
  • OpenAI Agent SDK
  • Google ADK
  • CrewAI
  • AutoGen
  • Microsoft Agent Framework or equivalent
• Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
• Understanding of agent memory, context management, multi‑agent systems, and agent evaluation.

Cloud & AI Platforms

• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
• Understanding of deploying AI applications in cloud environments.

APIs & Integration

• Strong experience with REST APIs, JSON, web services, authentication, and third‑party integrations.
• Experience integrating AI solutions with enterprise applications and data sources.
• Understanding of microservices and distributed application architecture.

Data & Databases

• Experience with SQL and relational databases.
• Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
• Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.

Preferred Skills

• Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
• Exposure to AI observability and evaluation tools.
• Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
• Experience with MCP (Model Context Protocol) and enterprise tool integrations.
• Experience working with enterprise‑grade AI platforms or agent orchestration platforms.
• Knowledge of authentication and authorization mechanisms such as OAuth2/JWT.
• Experience working in financial services, banking, or other highly regulated environments is a plus.

FDE / Client‑Facing Skills

• Strong communication and stakeholder management skills.
• Ability to work directly with client engineering, architecture, and product teams.
• Ability to understand ambiguous business problems and convert them into technical solutions.
• Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
• Ability to work independently in a fast‑paced client environment.
• Strong analytical and problem‑solving skills.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of software engineering experience, with strong hands‑on Python development experience.
• 2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
• Proven experience delivering production‑grade applications or AI solutions.

Key Competencies

Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/GCP | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE

Compensation, Benefits and Duration

Minimum Compensation: USD 42,000

Maximum Compensation: USD 147,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full‑time employees.

This position is available for independent contractors