
Full Stack Engineer(Python and Golang)
- |10 years of exp
- |Full Time
In office
Not Available
About the job
Job: Full Stack Engineer (Python and Golang)
Location: Dallas, TX(Onsite)
Job Type: || Full time||
Job Summary
We are seeking an experienced Full Stack Engineer with deep expertise in Python, Golang, CrewAI, and AI/ML technologies to design, develop, and deploy next-generation AI-driven applications. The ideal candidate will possess strong full-stack development capabilities combined with hands-on experience in building Agentic AI solutions, multi-agent systems, and scalable backend services.
The candidate will work closely with product owners, architects, data scientists, and engineering teams to deliver innovative AI-powered platforms and business solutions.
Key Responsibilities
- Design, develop, and maintain scalable full-stack applications using modern software engineering practices.
- Build and deploy Agentic AI solutions leveraging CrewAI and Large Language Models (LLMs).
- Develop backend microservices and APIs using Python and Golang.
- Integrate AI/ML models into enterprise applications and production systems.
- Design and implement intelligent workflows using multi-agent architectures.
- Develop and optimize RESTful APIs, asynchronous services, and event-driven systems.
- Collaborate with AI engineers and data scientists to productionize machine learning models.
- Implement scalable solutions for model serving, monitoring, and performance optimization.
- Create and manage CI/CD pipelines for automated deployment and testing.
- Participate in architecture discussions and provide technical leadership on AI initiatives.
- Ensure application security, reliability, scalability, and high availability.
Required Skills & Qualifications
Technical Skills
- 10+ years of software development experience.
- Strong expertise in Python development.
- Strong expertise in Golang (Go) development.
- Hands-on experience with CrewAI and multi-agent AI frameworks.
- Solid experience in Artificial Intelligence (AI) and Machine Learning (ML).
- Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.).
- Strong understanding of Prompt Engineering and Agentic AI patterns.
- Experience building REST APIs and microservices.
- Strong knowledge of backend architecture and distributed systems.
- Experience with relational and NoSQL databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker and Kubernetes.
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