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.
Skills Required
- 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 like Lambda, S3, API Gateway, Bedrock, SageMaker
- Experience working with Voice APIs, speech-based interfaces, or conversational AI systems
- Strong understanding of REST APIs, microservices architectures, and distributed systems
- Familiarity with data pipelines, prompt engineering, model evaluation, and optimization frameworks
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
