Senior AI Engineer
Coforge
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Fort Mill, SC
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Mid-Senior level
Posted April 4, 2026
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Responsibilities
Commitments
Responsibilities
- 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.
- Develop: RAG pipelines and AI services, Agent workflows and integrations
- Lambda, API Gateway, Step Functions
- Lead the development of cutting-edge AI solutions for financial systems.
Commitments
Dynamic work environment with a focus on technical innovation and professional growth.
Not Met Priorities
What still needs stronger evidence
Requirements
- Experience building internal developer platforms / PaaS.
- 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 Skills (Technical - Hands-on) AI / GenAI
- Hands-on experience with:
- RAG pipelines (chunking, embeddings, retrieval)
- Prompt engineering and evaluation
- Frameworks:
- LangChain / LlamaIndex / Semantic Kernel AWS Development
- Lambda, API Gateway, Step Functions
- S3, DynamoDB, OpenSearch
- Bedrock APIs for LLM integration Software Engineering
- Python (primary), Node.js (optional)
- REST APIs, microservices
- Event-driven architectures DevOps & MLOps
- CI/CD pipelines (GitHub Actions, Jenkins, etc.)
- Docker, Kubernetes (EKS preferred)
- Observability & Monitoring (CloudWatch, Prometheus/Grafana) What We Offer:
- Lead the development of cutting-edge AI solutions for financial systems.
Preferred Skills
- S3, DynamoDB, OpenSearch
- Bedrock APIs for LLM integration Software Engineering
- Python (primary), Node.js (optional)
- REST APIs, microservices
- Event-driven architectures DevOps & MLOps
- CI/CD pipelines (GitHub Actions, Jenkins, etc.)
- Docker, Kubernetes (EKS preferred)
- Observability & Monitoring (CloudWatch, Prometheus/Grafana) What We Offer:
- Lead the development of cutting-edge AI solutions for financial systems.
- Dynamic work environment with a focus on technical innovation and professional growth.
Job Title: Senior AI Engineer (Generative AI & Agentic Systems) Skills: AI Lead, Solution Design, Generative AI Experience:12+ Years Location: Fort Mill, SC Job Type: Full -Time 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 Skills (Technical - Hands-on) AI / GenAI
Hands-on experience with:
RAG pipelines (chunking, embeddings, retrieval)
Prompt engineering and evaluation
Frameworks:
LangChain / LlamaIndex / Semantic Kernel AWS Development
Lambda, API Gateway, Step Functions
S3, DynamoDB, OpenSearch
Bedrock APIs for LLM integration Software Engineering
Python (primary), Node.js (optional)
REST APIs, microservices
Event-driven architectures DevOps & MLOps
CI/CD pipelines (GitHub Actions, Jenkins, etc.)
Docker, Kubernetes (EKS preferred)
Observability & Monitoring (CloudWatch, Prometheus/Grafana) What We Offer:
Lead the development of cutting-edge AI solutions for financial systems.
Dynamic work environment with a focus on technical innovation and professional growth.
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 Skills (Technical - Hands-on) AI / GenAI
Hands-on experience with:
RAG pipelines (chunking, embeddings, retrieval)
Prompt engineering and evaluation
Frameworks:
LangChain / LlamaIndex / Semantic Kernel AWS Development
Lambda, API Gateway, Step Functions
S3, DynamoDB, OpenSearch
Bedrock APIs for LLM integration Software Engineering
Python (primary), Node.js (optional)
REST APIs, microservices
Event-driven architectures DevOps & MLOps
CI/CD pipelines (GitHub Actions, Jenkins, etc.)
Docker, Kubernetes (EKS preferred)
Observability & Monitoring (CloudWatch, Prometheus/Grafana) What We Offer:
Lead the development of cutting-edge AI solutions for financial systems.
Dynamic work environment with a focus on technical innovation and professional growth.