Role: Python Full-Stack Engineer Autonomous AI & Agent Automation
Client: Morgan Stanley
Location- 4 days Hybrid at Alpharetta- First preference is Alpharetta GA and 2nd Preference is New York; Need local candidates they need to go for onsite interview mandatory next week before Thursday.
Interview- Brillio Interview Coding Round and 2nd Client interview onsite at Alpharetta
Duration: 12 Months
Role Summary
We are looking for a highly skilled Python Full-Stack Engineer with hands-on experience in OpenAI-based solutions Co-Pilot frameworks MCP MKS environments and autonomous agent creation. This role will focus on building AI-driven task automation intelligent agents and end-to-end full-stack solutions that accelerate business workflows and reduce manual effort.
The ideal candidate combines strong Python engineering fundamentals with applied AI/LLM orchestration system integration and scalable automation design.
Key Responsibilities
- Design develop and deploy Python-based full-stack applications with AI-enabled capabilities
- Build and orchestrate autonomous AI agents for task execution decisioning and workflow automation
- Integrate OpenAI models for reasoning summarization classification and agent coordination
- Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
- Develop task automation pipelines leveraging agents schedulers and event-driven triggers
- Work within MCP and MKS environments to manage configurations pipelines and system controls
- Design APIs and backend services to integrate AI agents with enterprise systems
- Build scalable front-end interfaces (React or similar) for AI-driven user interactions
- Ensure security governance logging and observability for AI-powered workflows
- Collaborate with product architecture and business teams to translate requirements into AI solutions
- Support testing deployment optimization and continuous improvement of agent-based systems
Required Skills & Experience
Core Engineering
- 6 years of hands-on Python development experience
- Strong experience in full-stack development (Python backend modern frontend frameworks)
- Expertise in REST APIs async processing background workers and microservices
AI & Autonomous Agents
- Practical experience with OpenAI / LLM-based applications
- Experience building autonomous or semi-autonomous agents (planning memory tool usage)
- Familiarity with agent orchestration prompt engineering and task chaining
- Experience creating AI-driven automation for business workflows
Platforms & Environments
- Experience working in MCP and MKS environments
- Strong understanding of configuration management environments and pipelines
- Experience with task schedulers job orchestration and automation frameworks
Frontend & UX
- Experience with React Angular or similar frontend frameworks
- Ability to design intuitive AI-assisted user experiences
Best Regards
Ibraheem Mohammad
Momento USA Exceeding Customer Expectations
Email:
440 Benigno Blvd Unit#A 2nd Floor. Bellmawr NJ 08031
Interstate Business Park
Direct: / Desk: X 1019 / Fax:
Web:
Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.
Role: Python Full-Stack Engineer Autonomous AI & Agent Automation Client: Morgan Stanley Location- 4 days Hybrid at Alpharetta- First preference is Alpharetta GA and 2nd Preference is New York; Need local candidates they need to go for onsite interview mandatory next week before Thursday. Interv...
Role: Python Full-Stack Engineer Autonomous AI & Agent Automation
Client: Morgan Stanley
Location- 4 days Hybrid at Alpharetta- First preference is Alpharetta GA and 2nd Preference is New York; Need local candidates they need to go for onsite interview mandatory next week before Thursday.
Interview- Brillio Interview Coding Round and 2nd Client interview onsite at Alpharetta
Duration: 12 Months
Role Summary
We are looking for a highly skilled Python Full-Stack Engineer with hands-on experience in OpenAI-based solutions Co-Pilot frameworks MCP MKS environments and autonomous agent creation. This role will focus on building AI-driven task automation intelligent agents and end-to-end full-stack solutions that accelerate business workflows and reduce manual effort.
The ideal candidate combines strong Python engineering fundamentals with applied AI/LLM orchestration system integration and scalable automation design.
Key Responsibilities
- Design develop and deploy Python-based full-stack applications with AI-enabled capabilities
- Build and orchestrate autonomous AI agents for task execution decisioning and workflow automation
- Integrate OpenAI models for reasoning summarization classification and agent coordination
- Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
- Develop task automation pipelines leveraging agents schedulers and event-driven triggers
- Work within MCP and MKS environments to manage configurations pipelines and system controls
- Design APIs and backend services to integrate AI agents with enterprise systems
- Build scalable front-end interfaces (React or similar) for AI-driven user interactions
- Ensure security governance logging and observability for AI-powered workflows
- Collaborate with product architecture and business teams to translate requirements into AI solutions
- Support testing deployment optimization and continuous improvement of agent-based systems
Required Skills & Experience
Core Engineering
- 6 years of hands-on Python development experience
- Strong experience in full-stack development (Python backend modern frontend frameworks)
- Expertise in REST APIs async processing background workers and microservices
AI & Autonomous Agents
- Practical experience with OpenAI / LLM-based applications
- Experience building autonomous or semi-autonomous agents (planning memory tool usage)
- Familiarity with agent orchestration prompt engineering and task chaining
- Experience creating AI-driven automation for business workflows
Platforms & Environments
- Experience working in MCP and MKS environments
- Strong understanding of configuration management environments and pipelines
- Experience with task schedulers job orchestration and automation frameworks
Frontend & UX
- Experience with React Angular or similar frontend frameworks
- Ability to design intuitive AI-assisted user experiences
Best Regards
Ibraheem Mohammad
Momento USA Exceeding Customer Expectations
Email:
440 Benigno Blvd Unit#A 2nd Floor. Bellmawr NJ 08031
Interstate Business Park
Direct: / Desk: X 1019 / Fax:
Web:
Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.
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