Senior Agentic AI Engineer (Python)

Hello

Senior Agentic AI Engineer (Python)
Experience: 5 10 years
Location: Boston, MA

Primary Objective

We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate enterprise-grade AI agents and multi-agent systems. The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration, and governed enterprise AI platforms-delivering scalable copilots, intelligent automation, and knowledge systems across onshore and offshore delivery environments.

Success looks like: production-ready agents with measurable reliability, governed RAG integrated into enterprise systems, and clear observability/guardrails for business use cases.

Key Responsibilities

Primary

• Design, develop, and deploy AI agents and multi-agent workflows using Python and agentic frameworks (e.g., LangChain, LangGraph, or equivalent).
• Build enterprise-scale RAG solutions over structured and unstructured data sources.
• Develop agent orchestration workflows integrating models, tools, APIs, and enterprise services.
• Build AI-powered copilots, assistants, and automation solutions for enterprise use cases.
• Implement AI monitoring, observability, tracing, telemetry, and performance measurement.

Also expected

• Implement agent memory patterns (short-term, long-term, episodic).
• Integrate agents with enterprise platforms (APIs, databases, SharePoint, Confluence, Salesforce, knowledge repositories).
• Contribute to AI governance: guardrails, security controls, policy enforcement, and compliance.
• Optimize prompts, reasoning strategies, workflows, and execution performance.
• Collaborate with Data Science and ML teams on evaluation, optimization, and continuous improvement.

Must-Have Experience & Skills

• 5 10 years of software engineering experience with strong Python expertise.
• 3+ years designing and implementing AI/ML solutions.
• Hands-on experience building Generative AI applications using LLMs, RAG, and agentic frameworks (LangChain/LangGraph or equivalent; OpenAI SDK or similar).
• Experience delivering enterprise-grade AI solutions in production.
• Experience with distributed onshore/offshore team delivery.
• Solid API/service engineering fundamentals (REST/async services, integration patterns).
• Practical understanding of AI observability, evaluation, and production reliability.

Preferred Skills

• Cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar).
• Vector databases / search (pgvector, OpenSearch, Pinecone, Weaviate, or similar).
• LLMOps tooling (tracing, eval harnesses, prompt/version management).
• Enterprise integrations (SharePoint, Confluence, Salesforce).
• Containerized deployment practices (Docker; Kubernetes a plus).
• AI security, PII handling, and guardrail frameworks.

Soft Skills

• Clear written and verbal communication with technical and business stakeholders.
• Ability to own delivery end-to-end in a distributed team model.
• Pragmatic trade-off judgment between speed, quality, cost, and governance.