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AI Summary
Design and deploy scalable AI-driven applications using Large Language Models, NLP, and speech-based interfaces. Develop backend services and cloud-native AI workloads to support intelligent automation and enterprise solutions.
Job Title: AI Software Engineer
Key Skills: Python, LLMs, NLP, Claude (Anthropic), AWS, Bedrock, SageMaker, Voice APIs, REST APIs, Microservices
Location: Brazil
Mode: Remote
We at Coforge are hiring AI Software Engineer with the following skill set.
Key Responsibilities
- Design, develop, and deploy AI-driven applications leveraging Large Language Models (LLMs), NLP techniques, and speech-based interfaces for scalable enterprise solutions.
- Build and optimize AI workloads in production using Claude (Anthropic), prompt engineering techniques, evaluation frameworks, and model optimization strategies.
- Develop scalable backend services, APIs, and distributed systems to support AI-enabled applications, voice interfaces, and intelligent automation workflows.
- Collaborate with engineering and product teams to implement cloud-native AI solutions, data pipelines, and best practices for performance, reliability, and scalability.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, Data Science, or equivalent practical experience.
- Software engineering experience, including hands-on experience building AI-enabled systems.
- Strong expertise with Large Language Models (LLMs), Natural Language Processing (NLP), and AI application development.
- Hands-on experience using Claude (Anthropic) or similar AI models for enterprise-grade AI solutions.
- Strong programming skills in Python (preferred) or equivalent backend programming languages.
- Experience designing and deploying AI workloads in production environments.
- Hands-on experience with AWS cloud services including Lambda, S3, API Gateway, Bedrock, SageMaker, or similar services.
- Experience working with Voice APIs, speech-based interfaces, or conversational AI systems.
- Strong understanding of REST APIs, microservices architectures, and distributed systems.
- Familiarity with structured/unstructured data pipelines, prompt engineering, model evaluation, and optimization frameworks.
Preferred Skills:
- Experience with AI model monitoring, observability, and production optimization.
- Familiarity with scalable cloud-native AI architectures and orchestration patterns.
- Exposure to modern MLOps, automation, or AI governance practices.
- Experience working in Agile product engineering environments.
Posted On: 03-06-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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