Role: Senior Python Engineer – Agentic AI
Location: NYC / New York City (Onsite)
Duration: Long Term Contract
Local to NY/NJ or EST preferred
Not required in person Interview
Ideal Candidate Profile
We are looking for someone who is primarily:
Agentic AI Engineer + Strong Python Developer
with additional exposure to application security/vulnerability use cases.
The candidate should be able to personally:
Build Python Services → Develop AI Agents → Integrate LLMs → Connect Enterprise APIs → Orchestrate Tools → Analyze Security Findings → Generate Remediation → Create PRs → Run Tests → Deploy to Production
This is not an Architect-only or Project Management role. Strong hands-on coding and implementation experience are essential.
Role Type: Senior Hands-on Engineering
Role Overview
We are looking for Senior Python Engineers with strong hands-on experience in Agentic AI / Generative AI and Python development to build enterprise-scale AI solutions.
The ideal candidate will have proven experience developing AI agents, LLM-powered applications, agentic workflows, orchestration frameworks, and enterprise integrations using Python.
Experience working with application security / vulnerability management is highly desirable, as the primary use cases involve security scanning, vulnerability analysis, and AI-driven remediation.
This is a hands-on engineering role. The candidate should be comfortable writing production-grade Python code, building AI agents, integrating APIs and enterprise platforms, debugging complex solutions, and taking applications from PoC to production.
Key Responsibilities
Agentic AI & Generative AI — PRIMARY
- Design and develop Agentic AI solutions using Python and LLMs.
- Build autonomous and semi-autonomous AI agents for enterprise use cases.
- Develop multi-agent workflows and agent orchestration.
- Implement LLM-based workflows involving reasoning, planning, tool usage, and contextual decision-making.
- Develop agents that can interact with enterprise APIs, repositories, security tools, and CI/CD systems.
- Build AI-driven code analysis and remediation workflows.
- Implement prompt engineering, tool/function calling, structured outputs, RAG, context management, and agent memory.
- Work with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.
- Integrate LLMs such as Azure OpenAI/OpenAI, Anthropic, Gemini, Llama, or equivalent.
- Evaluate, test, monitor, and improve agent performance and reliability.
- Implement appropriate guardrails and human-in-the-loop controls.
Python Development — PRIMARY
- Develop scalable, production-grade solutions using Python.
- Build APIs, microservices, AI services, agent frameworks, and automation solutions.
- Develop integrations with enterprise platforms using REST APIs and SDKs.
- Write clean, reusable, testable, maintainable Python code.
- Work with FastAPI / Flask, Pydantic, AsyncIO, and related Python technologies.
- Perform debugging, performance optimization, unit/integration testing, and code reviews.
- Develop automation and orchestration components for enterprise workflows.
Enterprise AI Integrations
- Integrate AI agents with GitHub, CI/CD platforms, security tools, repositories, and enterprise applications.
- Build workflows that connect LLM agents with APIs and external tools.
- Work with GitHub Actions, Jenkins, Docker, and other engineering platforms.
- Support multi-repository and multi-language environments.
- Build scalable solutions suitable for enterprise production environments.
AI-Driven Security Use Cases
The Agentic AI solutions will support cybersecurity and software-security workflows, including:
- Security finding analysis
- Vulnerability understanding and prioritization
- Source-code analysis
- Dependency analysis
- AI-generated remediation recommendations
- AI-assisted code fixes
- Pull request generation
- Automated testing and validation
- Security reporting
Experience with tools such as Snyk, JFrog Xray, CodeQL, Dependabot, Trivy, Semgrep, or similar is desirable.
Required Skills
Must Have
- 12–15+ years of software engineering experience
- Strong hands-on Python development
- Strong hands-on Agentic AI / Generative AI experience
- Experience developing LLM-based applications and AI agents
- Experience with agent orchestration and tool/function calling
- Strong API integration experience
- Strong Git/GitHub experience
- Experience building enterprise-scale production applications
- Strong debugging and problem-solving skills
Agentic AI / GenAI
- LLMs
- AI Agents
- Agentic workflows
- Multi-agent systems
- RAG
- Prompt engineering
- Tool/function calling
- Agent orchestration
- Structured outputs
- Context/memory management
- LLM evaluation and observability
- AI guardrails
Python
- Python 3.x
- FastAPI / Flask
- Pydantic
- AsyncIO
- REST APIs
- Microservices
- Automated testing
- Git
- CI/CD
Preferred Security Experience
- Application Security
- Vulnerability Management
- SAST / SCA / Container Security
- Snyk
- JFrog Xray
- CodeQL
- Dependabot
- Trivy
- Semgrep
- GitHub Advanced Security
Preferred Cloud & Engineering Experience
- AWS / Azure / GCP
- Docker
- Kubernetes
- GitHub Actions
- Jenkins
- Airflow or similar orchestration tools
- SQL / NoSQL
- Bash/Shell
|
Sonu Chauhan |
|
Senior Executive | US Staffing |
