Generative AI Engineer

Coforge; Fort Worth (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Coforge in Fort Worth, TX is seeking an AI/GenAI Engineer with 5+ years of experience to design, develop, and deploy AI/GenAI solutions using LLMs. You will build scalable AI applications and agentic systems, and integrate RAG architectures with vector databases.

Collaborate with business, architecture, and engineering teams to deliver AI-driven solutions, follow SDLC/CI/CD, and uphold responsible AI practices in an on-site role with a 3 days/week presence. Interview in person.

Qualifications

• Experience in production-grade GenAI systems.
• Hands-on AI engineering with LLMs and prompts.
• Familiarity with LangChain, vector databases and cloud platforms.

Responsibilities

• Design, develop, and deploy AI/GenAI solutions using LLMs.
• Build scalable AI applications and agentic systems.
• Collaborate with business, architecture, and engineering teams to deliver AI-driven solutions.
• Develop RAG-based applications and integrate vector databases.
• Troubleshoot, optimize, and monitor AI models in production.
• Follow Agile, SDLC, CI/CD, and best engineering practices.

Skills

GenAI Production Development

Python Programming

AI Engineering

LLMs & Prompt Engineering

LangChain & Vector DBs

Cloud Platforms

REST APIs & CI/CD

Responsible AI

Job description

Work Mode: 3 days onsite/Week

Experience: 5+Yrs

Interview mode: In Person(Mandatory for final round).

We at Coforge are hiring for AI Engineer/GenAI Engineer with the following skillset

Key Responsibilities

• Design, develop, and deploy AI/GenAI solutions using LLMs.
• Build and maintain scalable AI applications and agentic systems.
• Collaborate with business, architecture, and engineering teams to deliver AI-driven solutions.
• Develop RAG-based applications and integrate vector databases.
• Troubleshoot, optimize, and monitor AI models in production.
• Follow Agile, SDLC, CI/CD, and best engineering practices.

Required Skills

• Strong experience in GenAI Production Development
• Expertise in Python Programming
• Hands-on experience in AI Engineering
• Knowledge of LLMs, Prompt Engineering, and Transformer Models
• Experience with LangChain, LangGraph, Semantic Kernel, or Copilot Studio
• RAG architecture and Vector Databases (Pinecone, FAISS, Weaviate, Chroma)
• Cloud platforms: Azure, AWS, or GCP
• REST APIs, Microservices, Git, CI/CD, DevOps
• Strong understanding of Responsible AI and AI Governance

Preferred Skills

• Agentic AI Systems
• LLM Evaluation & Monitoring
• Data Science background