Agentic AI FDE | USA | FTE Only
About The Position
Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications. Strong hands-on programming experience (Python required) with the ability to design and implement production-ready solutions (experience in JS/NodeJS or .NET/C# is a plus). Architecture and system-design experience, with a proven track record of translating designs into working code (must still code 50–70% of the time). Practical experience implementing AI/ML solutions end-to-end, including data preparation, model usage, and integration into applications (using frameworks like Scikit-Learn, TensorFlow, or PyTorch). Experience designing and building scalable ML/AI systems using APIs, microservices, and event-driven patterns — with direct hands-on implementation responsibility. Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems. Cloud-native experience (Azure/AWS) with hands-on deployment, debugging, and performance tuning of AI workloads. Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness. This is an individual contributor role with no people management; the candidate must personally design, code, debug, and support solutions.
Requirements
- Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications
- Strong hands-on programming experience (Python required)
- Architecture and system-design experience
- Proven track record of translating designs into working code
- Must still code 50–70% of the time
- Practical experience implementing AI/ML solutions end-to-end
- Experience using frameworks like Scikit-Learn, TensorFlow, or PyTorch
- Experience designing and building scalable ML/AI systems using APIs, microservices, and event-driven patterns
- Strong data handling skills, including Pandas/NumPy
- Experience working with structured and unstructured data in real systems
- Cloud-native experience (Azure/AWS)
- Hands-on deployment, debugging, and performance tuning of AI workloads
- Solid software engineering and DevOps practices
- Experience with Git, CI/CD pipelines, logging, monitoring, and production readiness
Nice To Haves
- Experience in JS/NodeJS or .NET/C#
Responsibilities
- Designing and development of AI/ML applications
- Design and implement production-ready solutions
- Translate designs into working code
- Implement AI/ML solutions end-to-end, including data preparation, model usage, and integration into applications
- Design and build scalable ML/AI systems using APIs, microservices, and event-driven patterns
- Handle data using Pandas/NumPy and working with structured and unstructured data
- Deploy, debug, and performance tune AI workloads on cloud platforms (Azure/AWS)
- Apply software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness
- Personally design, code, debug, and support solutions
Benefits
- Medical benefits
- Vision benefits
- Dental benefits
- 401k retirement plan
- Variable pay/incentives
- Paid time off
- Paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
