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Client Engineering Jobs Near Me

Photon

Sr Python Developer with AI

Columbus, OH · On-site

$113K - $152K/yr

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 ...

Photon

Full Stack Developer - Advanced

Columbus, OH · On-site

Ability to work directly with client engineering and business teams. * Strong problem-solving skills and ability to operate in ambiguous environments. * Ability to rapidly prototype and demonstrate ...

SSOE, Inc.

Senior Mechanical Engineer

Columbus, OH · On-site

$97K - $128K/yr

Interface directly with client engineering, operations, maintenance, quality, validation, and leadership teams. * Provide technical leadership for clean utility systems, process support systems ...

TEPHRA

Utilities Client Partner

Columbus, OH · On-site

Bachelor's degree in engineering, Business, or related field (MBA preferred). * 20+ years of experience in client-facing roles, including 7+ years in senior consulting or account leadership. * Proven ...

Tata Consultancy Services

Client Partner

Columbus, OH · On-site

$151K - $204K/yr

Qualifications • Bachelors degree in engineering, Business, or related field (MBA preferred). • 16+ years of experience in client-facing roles, including 7+ years in senior consulting or account ...

Blueteam Networks

Client Systems Engineer

Dublin, OH · On-site

We're looking for an experienced engineer who enjoys solving problems, taking ownership, and ... You'll be responsible for owning client issues from start to finish, whether the solution involves ...

VBeyond

Client Partner for Utilities

Columbus, OH · On-site

Qualifications • Bachelor's degree in engineering, Business, or related field (MBA preferred). • 16+ years of experience in client-facing roles, including 7+ years in senior consulting or account ...

ImagineX Consulting

Client Delivery Leader

Columbus, OH · On-site

Direct and manage large‑scale onsite teams (including software engineers, designers, and quality assurance specialists) deployed across multiple client workstreams. * Agile Project Strategy: Act as ...

Buildto

Client Delivery Leader

Columbus, OH · On-site

Direct and manage large‑scale onsite teams (including software engineers, designers, and quality assurance specialists) deployed across multiple client workstreams. * Agile Project Strategy: Act as ...

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How much do client engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for client engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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Client Engineering jobs near you
A map of the United States highlighting the number of Client Engineering job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Client Engineering job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Software Engineer Python Advanced

Columbus, OH • On-site

Argyllinfotech
See more jobs at Argyllinfotechexternal

Full-time

Posted 20 days ago

Job description

Job Title: Software Engineer Python – Advanced
Location: Columbus, OH
Duration: Long Term
 
 
Client: JPMC 
 
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 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
 
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.