AI Engineer Agentic
Indexed description
aEURc Software Testing (manual testing, testing automation, performance testing, outsourcing, training and certification, etc.)
aEURc Cyber aEUR aEURc DevOps/DevSecOps aEURc Implementation and Customization of Atlassian & OpenText products (MicroFocus) and other niche products/solutions aEURc AI based Decision Intelligence solutions. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field. 4+ years of experience in machine learning engineering, including demonstrated experience building and deploying machine learning models at scale. Strong programming expertise in Python Proficiency in NLP and LLMs Hands-on experience with AWS services (EMR, SageMaker, S3, Bedrock) for end-to-end machine learning pipelines or other cloud providers equivalent to AWs. Ability to write clean, maintainable, and efficient production-level code, adhering to practices in software engineering (e.g., version control, testing, CI/CD). Strong analytical and problem-solving skills. Strong communication and collaboration skills. Good English knowledge (upper intermediate level). Responsibilities Utilize agentic frameworks such as LangChain, Livekit, OpenAIAgentsSDK to create agent flows. Use MCP, Guardrails and Agent instructions to design agents. Use AWS Bedrock as LLM service Test and evaluate agent flows with agent benchmarks. Deploy flows with other business-related services. Design agent workflows with high-level tools such as N8N Strongly collaborate with business and understand the needs to translate into agent solution Collaborate with data engineers to ensure seamless integration of Agent flows into production environments
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