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Full -Time Opprtunity
Job Title: Senior AI Engineer (Generative AI & Agentic Systems)
Skills: AI Lead, Solution Design, Generative AI, Quality Engineering framework
Experience:12 Years
Location: Fort Mill, SC (3 days onsite)
We at Coforge are looking for an Senior AI Engineer with the following skills.
Overview:
Coforge is seeking a highly skilled Senior AI Engineer to design, build, and deploy our next generation of intelligent systems. In this highly technical, hands-on role, you will focus on the end-to-end development of enterprise-grade AI agents and sophisticated multi-agent RAG pipelines. Builds and operationalizes AI platform components and AI applications, working closely with the Architect. Focused on implementation, integration, and scaling AI workloads. Experience building internal developer platforms / PaaS.
Requirements:
AI / GenAI
Rahul Sharma | Team Lead
Amaze Systems Inc
E: |
Full -Time Opprtunity
Job Title: Senior AI Engineer (Generative AI & Agentic Systems)
Skills: AI Lead, Solution Design, Generative AI, Quality Engineering framework
Experience:12 Years
Location: Fort Mill, SC (3 days onsite)
We at Coforge are looking for an Senior AI Engineer with the following skills.
Overview:
Coforge is seeking a highly skilled Senior AI Engineer to design, build, and deploy our next generation of intelligent systems. In this highly technical, hands-on role, you will focus on the end-to-end development of enterprise-grade AI agents and sophisticated multi-agent RAG pipelines. Builds and operationalizes AI platform components and AI applications, working closely with the Architect. Focused on implementation, integration, and scaling AI workloads. Experience building internal developer platforms / PaaS.
Requirements:
- Develop: RAG pipelines and AI services, Agent workflows and integrations
- Build: APIs and microservices for AI platform
- Integrate: Enterprise data and systems into AI workflows
- Implement: Monitoring, logging, and evaluation frameworks
- Contribute to: CI/CD pipelines and deployment automation
AI / GenAI
- Hands-on experience with:
- RAG pipelines (chunking, embeddings, retrieval)
- Prompt engineering and evaluation
- Frameworks:
- LangChain / LlamaIndex / Semantic Kernel
- Lambda, API Gateway, Step Functions
- S3, DynamoDB, OpenSearch
- Bedrock APIs for LLM integration
- Python (primary), Node.js (optional)
- REST APIs, microservices
- Event-driven architectures
- CI/CD pipelines (GitHub Actions, Jenkins, etc.)
- Docker, Kubernetes (EKS preferred)
- Observability & Monitoring (CloudWatch, PrometheGrafana)
Rahul Sharma | Team Lead
Amaze Systems Inc
E: |