Saransh Inc
Location: Atlanta, GA Salary: $124,500.00-$186,500.00 (1 week ago)
Seniority level Mid-Senior level
Employment type Contract
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
8+ years of work experience in Software Engineering
3+ years of work/educational experience in Artificial Intelligence/Machine Learning
Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
Expertise with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
Development experience on AWS, AWS Sagemaker, AWS Gen AI stack including Bedrock, Guardrails and observability & monitoring required
Experience with Agentic AI platforms and frameworks, MCP and A2A protocols
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras.
Experience with production-grade development, integration and support
Experience and familiarity presenting to technical and business audiences
Position open to ATL and MSP offices
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Seniority level Mid-Senior level
Employment type Contract
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
8+ years of work experience in Software Engineering
3+ years of work/educational experience in Artificial Intelligence/Machine Learning
Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
Expertise with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
Development experience on AWS, AWS Sagemaker, AWS Gen AI stack including Bedrock, Guardrails and observability & monitoring required
Experience with Agentic AI platforms and frameworks, MCP and A2A protocols
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras.
Experience with production-grade development, integration and support
Experience and familiarity presenting to technical and business audiences
Position open to ATL and MSP offices
#J-18808-Ljbffr