Enter a job title or keyword
Senior AI Solutions Developer
Job Location:
Job Location:
Rutherford, NJ - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (6 hours ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking an experienced AI/LLM Software Engineerto design develop and deploy enterprise-grade AI applications assistants agents and intelligent workflows. The ideal candidate will have strong hands-on Python and software engineeringexperience combined with practical expertise in LLMs RAG agentic AI orchestration frameworks tool integration and AI observability.
This is a highly collaborative stakeholder-facing role requiring the ability to translate business requirements into secure scalable and production-ready AI solutions.
Key Responsibilities
Python LLMs Generative AI AI Agents AI Assistants MCP / FastMCP LangGraph RAG APIs SQL Databases LangSmith W&B OpenTelemetry Authentication Authorization AI Governance Responsible AI HITL Enterprise Integration
This is a highly collaborative stakeholder-facing role requiring the ability to translate business requirements into secure scalable and production-ready AI solutions.
Key Responsibilities
- Design and develop enterprise AI/LLM applications assistants agents and intelligent workflows.
- Build scalable and production-ready solutions using Pythonand modern software engineering practices.
- Develop agentic AI workflowsusing frameworks such as LangGraphor similar orchestration technologies.
- Implement tool integrations using MCP/FastMCPor comparable protocols and frameworks.
- Build and integrate REST APIs enterprise systems databases and SQL-based solutions.
- Develop RAG (Retrieval-Augmented Generation)solutions using structured and unstructured data sources.
- Design secure data-access patterns incorporating authentication authorization and enterprise security requirements.
- Implement AI evaluation monitoring tracing and observability using tools such as LangSmith Weights & Biases (W&B) OpenTelemetry or similar platforms.
- Establish mechanisms to evaluate LLM accuracy reliability latency cost and overall application performance.
- Incorporate Human-in-the-Loop (HITL)processes into AI workflows where appropriate.
- Apply principles of AI governance responsible AI privacy security and compliancethroughout the development lifecycle.
- Collaborate directly with business stakeholders product teams architects and engineering teams to identify opportunities and deliver AI solutions.
- Act as a forward-deployed engineer working closely with stakeholders to understand problems prototype solutions gather feedback and rapidly iterate.
- Troubleshoot optimize and continuously improve AI applications in production environments.
- Contribute to technical documentation architecture decisions development standards and best practices.
- 58 years of professional software engineering experience.
- Strong hands-on experience with Pythonand software development.
- Demonstrated experience building AI/LLM-powered applicationsin enterprise or production environments.
- Experience developing AI assistants agents agentic workflows or LLM applications.
- Hands-on experience with MCP/FastMCPor similar tool-integration technologies.
- Experience with LangGraphor comparable AI/agent orchestration frameworks.
- Strong understanding of APIs SQL databases and enterprise system integration.
- Experience implementing RAG solutionsusing structured and/or unstructured data.
- Experience with LLM evaluation monitoring tracing or observability tools such as LangSmith W&B OpenTelemetry or similar.
- Understanding of authentication authorization secure data access and enterprise security practices.
- Strong understanding of AI governance responsible AI privacy security and Human-in-the-Loop concepts.
- Excellent communication and stakeholder-management skills.
- Ability to work directly with customers/business stakeholders in a forward-deployed engineeringcapacity.
- Experience working with major LLM platforms and APIs such as OpenAI Azure OpenAI Anthropic or similar.
- Experience with vector databases embeddings semantic search and retrieval pipelines.
- Experience deploying AI applications in cloud environments such as Azure AWS or GCP.
- Familiarity with CI/CD Git containers and modern DevOps practices.
- Experience building enterprise-grade AI solutions with strong emphasis on security scalability reliability and governance.
- Experience working in consulting professional services or customer-facing engineering environments.
Python LLMs Generative AI AI Agents AI Assistants MCP / FastMCP LangGraph RAG APIs SQL Databases LangSmith W&B OpenTelemetry Authentication Authorization AI Governance Responsible AI HITL Enterprise Integration
Required Experience:
Senior IC
About Company
The following are the open positions for which we are currently accepting resumes. This space is regularly updated, so please check back. You can also use the general applicant form to submit your resume. We will keep it on our databases when something appropriate for your background ... View more
