Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms.
Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration.
Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases. Integrate and extend enterprise AI tools through custom solutions.
Collaborate with senior stakeholders to design, develop, and deploy custom AI solutions to solve complex business problems.
Develop robust, maintainable, and well-tested code for enterprise AI applications.
Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms.
Ensure system security and compliance with enterprise standards.
Utilize modern AI development tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot.
Build internal automation tools to accelerate AI development workflows.
Stay current with emerging AI technologies and integrate them into Avetta’s platform.
Lead technical and strategic direction for AI initiatives.
Lead key projects, architecture reviews, and technical discussions around automation, augmentation, and acceleration of workflows and processes using AI techniques.
Communicate complicated technical concepts clearly to technical and non-technical stakeholders, including senior executives.
Drive collaboration and crucial conversations across business functions centering around business processes and workflows.
Drive innovation and introduce relevant cutting-edge technologies to maintain Avetta’s industry leadership.

Requirements

5-8 years of professional software engineering experience, with 2+ years focused on operationalizing/productionizing AI/ML systems.
Deep expertise in Python; experience with Java, C/C++, or R is a strong plus.
Proven track record building and deploying production AI systems with LLMs (such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, etc.).
Good understanding of agents, RAG architectures, vector databases, and semantic search.
Strong fundamentals in software engineering, testing, CI/CD, and system design.
Excellent communication skills for engaging with senior leadership.
Strong experience with agentic frameworks (such as CrewAI, AutoGen, LangGraph).
Familiarity with enterprise SaaS environments and B2B product development.
Experience with agentic AI development tools (such as Claude Code, Cursor, Windsurf, GitHub Copilot, Devin).
Familiarity with observability platforms (LangFuse, LangSmith, Weights & Biases).
Experience with fine-tuning and LLM optimization.
Track record of mentoring engineers and driving technical strategy.

Benefits

health, dental and vision insurance
401(k)
PTO

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonJavaCC++RAI systemsML systemsRAG architectureAPI integrationsLLM optimization

Soft skills

communicationcollaborationleadershipmentoringproblem-solvinginnovationtechnical discussionstrategic directionengagement with stakeholdersdriving crucial conversations