Design, build, deploy, and operate production-grade AI agents and multi-agent systems. Implement RAG, agent orchestration, copilots, observability, memory patterns, and enterprise integrations while ensuring governance, reliability, and onshore/offshore delivery.
Senior Agentic AI Engineer (Python)
Experience: 5–10 years
Location: Onsite / Offshore (Flexible)
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.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon New York, New York, USA Office
New York, United States
Similar Jobs
Information Technology
Monitors managed-services technologies, provides tier-1 customer and help-desk support, investigates incidents, documents issues, escalates problems, analyzes operational data, and improves support processes. The role requires collaboration with customers, suppliers, engineers, and internal teams while meeting service-level and security requirements. Work occurs within a 24/7 operation and includes overnight shifts, weekends, holidays, and possible overtime.
Top Skills:
AutomateHeatMS OfficeNimsoft Unified ManagementRemedySciencelogicService Desk ExpressServicenow
Information Technology
Develop and execute territory sales strategies to identify and expand enterprise business opportunities. Manage opportunity pipelines, forecasts, proposals, RFP/RFI presentations, contract licensing, and customer relationships. Partner with sales and solutions teams, mentor sales personnel, differentiate software offerings, support pricing and configuration, and conduct training to increase bookings. The role requires technology sales experience, market knowledge, strong negotiation and communication skills, and travel up to 25%.
Top Skills:
AIForecasting ToolsIt Asset Management (Itam)Software Solutions
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Supports the General Counsel, Legal Leadership Team, CFO, and CEO’s Executive Assistant while managing Board of Directors logistics. Responsibilities include complex calendar and travel coordination, executive meetings, offsites, events, venues, hotels, vendors, contracts, budgets, virtual meeting arrangements, and confidential information. The role requires proactive problem-solving, strong relationships, process improvement, and regular in-office presence in Boston, with occasional evening or weekend support.
Top Skills:
Microsoft 365Outlook
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
