Software Engineer

TrueBlueBangalore, Karnataka
Adzuna INPosted 2h agoOriginal Listing
it-jobs

Job Description

What you'll do The Software Engineer will serve as a full stack developer within the AI and Automation team, focusing on building AI agents, chatbots, and automation solutions. The role involves taking ownership and accountability to meet commitments, developing software using programming languages, and designing, executing, and reporting on system and service tests to ensure applications function as required. Additional responsibilities include monitoring, diagnosing, and resolving technology issues, as well as supporting team members by carrying out prescribed design activities using established procedures. What you'll bring 3+ years of experience in full stack application development using Python (for backend) and JavaScript/Typescript (for frontend). Strong understanding of Java. Strong understanding of Machine Learning /MLOps using Python . Familiarity with Agentic AI frameworks. Familiarity with Kubernetes (K8S) and Docker. Experience in developing solutions using Azure storage and compute solutions. Proven experience working with Azure AI solutions, especially AI Foundry and AI Search. Experience in developing distributed event-driven applications using brokers such as Apache Kafka, IBM MQ, Solace, or Azure Event Hub. Proven experience in working with DevOps frameworks, GIT, and CI/CD pipelines. Experience developing integrations using established Enterprise Application Integration patterns and tools such as Apache Camel. Required Qualifications Specify the minimum educational qualifications necessary for this role, including degree type, field of study, and level attained. Applicants should hold a bachelor’s degree in any discipline and possess practical experience in software development. Degrees in Computer Science, Software Engineering, or Information Technology are particularly advantageous. Skills:- Python, Java, Javascript, Artificial Intelligence (AI), Machine Learning (ML), Kubernetes, Docker and Azure DevOps

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