Senior Agentic AI Engineer (Python)

Hello ,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested.

Senior Agentic AI Engineer (Python)

Boston, MA- Onsite

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.