Senior Software Engineer (AI/Agentic, Full Stack)
ProSearchAbout the role
We are hiring a Senior Software Engineer (AI/Agentic, Full Stack) in Remote (US) to support our client’s growing enterprise software modernization team. This Senior Software Engineer job in the United States is ideal for candidates with experience in autonomous agents, LLM workflows, LangChain / LangGraph, Python, .NET, TypeScript, SQL, RAG, vector databases, ERP modernization, prompt engineering, and CI/CD.
Join a specialized modernization strike team building AI native, agentic workflows that transform how enterprise systems are built, tested, and operated. You’ll design and ship production grade features by combining LLM tool-calling, evals/guardrails, and observability to modernize legacy ERP modules into reliable, testable services. If you’ve already automated parts of your job and think in capabilities, agents, and workflows, this role is built for you.
This role requires hands-on experience building and deploying AI/LLM systems to production environments. Academic or tutorial experience alone is not sufficient.
PLEASE NOTE: We do not accept applications from third-party recruiters or staffing agencies. We are currently only able to hire candidates who reside in and are authorized to work in the United States due to legal, tax, and operational requirements.
Responsibilities
Design & deploy autonomous agents and multi-step LLM pipelines (LangChain / Lang Graph / AutoGen).
Orchestrate tools & APIs, implement state management, and handle long-running processes.
Refactor legacy C#/SQL modules into modern, testable services with unit tests and documentation.
Implement RAG with vector databases (Qdrant/pgvector) and build knowledge graphs.
Optimize prompts with DSPy, perform evals, red-teaming, and apply guardrails.
Automate browser workflows using Playwright; contribute to generative UIs.
Ship via Docker, GitHub Actions, CI/CD; add tracing, logging, monitoring (Agent-Ops).
Collaborate with product, data, QA, and platform teams to deliver secure, auditable solutions.
Qualifications
Hands-on experience with autonomous agents, LLM chains, and AI-assisted development.
Strong coding in Python, .NET, TypeScript, SQL; familiarity with ERP schemas.
Reliability mindset: eval frameworks, guardrails, observability, and production SLOs.
Ability to translate domain logic into structured prompts, constraints, and testable specs.
5+ years of software engineering
2+ years of AI/LLM work
Compensation & Benefits:
Competitive base (starting at $185,000) plus bonus, with comprehensive benefits including medical, dental, vision, 401(k), paid time off, and professional development resources.
This opportunity is ideal for professionals searching for Senior Software Engineer jobs in the United States, Senior AI Software Engineer roles, Agentic Engineer/LLM Engineer positions, or enterprise software modernization roles in the United States.
We do not accept applications from third-party recruiters or staffing agencies.
Salary Range Disclaimer
The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. Compensation may also vary based on where a role is performed.
Responsibilities
- Design & deploy autonomous agents and multi-step LLM pipelines (LangChain / Lang Graph / AutoGen)
- Orchestrate tools & APIs, implement state management, and handle long-running processes
- Refactor legacy C#/SQL modules into modern, testable services with unit tests and documentation
- Implement RAG with vector databases (Qdrant/pgvector) and build knowledge graphs
- Optimize prompts with DSPy, perform evals, red-teaming, and apply guardrails
- Automate browser workflows using Playwright; contribute to generative UIs
- Ship via Docker, GitHub Actions, CI/CD; add tracing, logging, monitoring (Agent-Ops)
- Collaborate with product, data, QA, and platform teams to deliver secure, auditable solutions
Qualifications
- Hands-on experience with autonomous agents, LLM chains, and AI-assisted development
- Strong coding in Python, .NET, TypeScript, SQL; familiarity with ERP schemas
- Reliability mindset: eval frameworks, guardrails, observability, and production SLOs
- Ability to translate domain logic into structured prompts, constraints, and testable specs
- 5+ years of software engineering
- 2+ years of AI/LLM work
Benefits
- Competitive base starting at $185,000 plus bonus
- Comprehensive benefits including medical, dental, vision, 401(k), paid time off, and professional development resources
Skills mentioned
About ProSearch
We’ve all heard the phrase “it’s not what you know, it’s who you know” dozens of times. But when it comes to finding your next career opportunity, a temporary or temp to hire gig, or an IT contract assignment in Northern New England or Maine- it really couldn’t be truer. Whether you are just starting your career, new to the area, trying to re-enter the job market after taking some time away, or simply looking for that next career opportunity, we are known as the recruiting and staffing firm to get you to work. Our relationships with hiring managers and human resources professionals provide access to job opportunities that simply don't exist anywhere else. Established in Portland, Maine in 1994, our insights and contacts with employers are some of the reasons job seekers trust us to help them navigate the job market. The ProSearch team of Employee Owners is proud of our reputation for how we treat our temporary and contract employees, and the job seekers who have placed their trust in us to locate the best next career opportunity for them. At ProSearch, our job is to connect great people with great opportunities, and vice versa. From multinational employers to the quirkiest start-ups, we have our hands in all kinds of projects – even a few you won’t have heard of until connecting with us! And thanks to our deep connections in the employer community, we also have access to opportunities that aren’t publicly posted to any job board.