Coforge
SeniorSoftwareEngineer(AI/Go)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer (AI/Go) at Coforge. Skills: AI-centric software systems, backend engineering, distributed systems, Go, LLMs, RAG. Design, develop, and deliver scalable AI-centric software systems. Drive the implementation of agentic AI solutions”
What You'll Achieve.
deliver scalable AI-centric software systems; identify vulnerabilities; automate penetration testing workflows; optimize operational processes; improve threat intelligence capabilities; production deployment; monitoring; continuous optimization; integrate AI-enabled capabilities into enterprise systems; scaling cloud-native microservices and AI-enabled distributed systems
Industry & Context.
identify vulnerabilities; automate penetration testing workflows; optimize operational processes; improve threat intelligence capabilities
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent practical experience, 7+ years of experience in backend software engineering and distributed systems development, hands-on experience with AI technologies including LLMs, RAG, MCP, and AI-driven application development, Expert-level proficiency in Go (4+ years), practical experience with Python, experience building scalable microservices architectures, REST APIs, gRPC services, and distributed backend systems, Experience with unit testing, BDD testing methodologies, and software quality engineering practices, understanding of token optimization, LLM cost optimization strategies, and scalable AI workload implementation, Hands-on experience with asynchronous messaging technologies such as Kafka or Google Pub/Sub, expertise with Docker, Kubernetes, cloud platforms (GCP preferred), and containerized deployments, Deep understanding of relational and NoSQL databases, Agile methodologies, and collaborative software engineering practices
Nice to Have
Familiarity with UML, Domain-Driven Design (DDD), and software architecture modeling, Experience in cybersecurity, offensive security tools, or AI-enabled security platforms, Experience working in fast-paced startup or high-growth environments, Experience scaling cloud-native microservices and AI-enabled distributed systems
What You'll Do.
and deliver scalable AI-centric software systems
Drive the implementation of agentic AI solutions
Own end-to-end software delivery from ideation to production deployment
and continuous optimization
Promote engineering excellence and SDLC best practices
Lead technical discussions
Integrate AI-enabled capabilities into enterprise systems
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams
Full Job Description
Job Title: Senior Software Engineer (AI/Go) Key Skills: Go, Python, LLMs, RAG, MCP, Microservices, Kubernetes, Docker, GCP, REST APIs Experience: +7 YOE. Location: Costa Rica Mode: Remote. We at Coforge are hiring Senior Software Engineer (AI/Go) (#19693) with the following skill set. Key Responsibilities Design, develop, and deliver scalable AI-centric software systems with a focus on backend engineering, distributed systems, and intelligent automation capabilities. Drive the implementation of agentic AI solutions to identify vulnerabilities, automate penetration testing workflows, optimize operational processes, and improve threat intelligence capabilities. Own end-to-end software delivery from ideation to production deployment, monitoring, and continuous optimization while promoting engineering excellence and SDLC best practices. Lead technical discussions, mentor junior engineers, conduct code reviews, and collaborate with cross-functional teams to integrate AI-enabled capabilities into enterprise systems. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent practical experience. 7+ years of experience in backend software engineering and distributed systems development. Strong hands-on experience with AI technologies including LLMs, RAG, MCP, and AI-driven application development. Expert-level proficiency in Go (4+ years) and strong practical experience with Python. Strong experience building scalable microservices architectures, REST APIs, gRPC services, and distributed backend systems. Experience with unit testing, BDD testing methodologies, and software quality engineering practices. Strong understanding of token optimization, LLM cost optimization strategies, and scalable AI workload implementation. Hands-on experience with asynchronous messaging technologies such as Kafka or Google Pub/Sub. Strong expertise with Docker, Kubernetes, cloud platforms (GCP preferred), and conta
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