Important Information
Location: Costa Rica
Work Mode: Remote
Job Summary
As a Senior Software Engineer - AI (19693), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
- Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
- Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
- Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development
Qualifications and Skills
- 7+ years of experience in backend engineering and distributed systems within production-grade environments
- 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
- Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
- Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
- Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
- Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
- Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
- Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
- Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
- Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Top Skills
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
