Coforge
SeniorSoftwareEngineer(AI/Go)
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“Senior Software Engineer (AI/Go) at Coforge. Skills: AI, Go, LLMs, RAG, Microservices, Kubernetes, GCP. 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.”
What You'll Achieve.
deliver scalable AI-centric software systems; identify vulnerabilities; automate penetration testing workflows; optimize operational processes; improve threat intelligence capabilities; Own end-to-end software delivery from ideation to production deployment, monitoring, and continuous optimization; integrate AI-enabled capabilities into enterprise systems
Industry & Context.
identify vulnerabilities; 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) and 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 with a focus on backend engineering
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
and continuous optimization while promoting engineering excellence and SDLC best practices.
Lead technical discussions
mentor junior engineers
and collaborate with cross-functional teams to integrate AI-enabled capabilities into enterprise systems.
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams
Communication Scope
Lead technical discussions
Process & Methodology
Own end-to-end software delivery from ideation to production deployment, monitoring, and continuous optimization
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: Colombia 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 contain
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