GenAI / Agentic AI Engineer

Coforge; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Coforge in Dallas, United States, is seeking a Senior GenAI/Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging LLMs, Agentic AI frameworks, RAG, and cloud-native tech.

The role requires hands-on experience building production-grade AI applications, with collaboration across architects, product teams, and business stakeholders to deliver scalable solutions that address complex challenges and deliver measurable impact.

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 5+ years of software engineering and application development experience.
• 2+ years of hands-on experience developing and deploying Generative AI solutions.
• Experience designing, implementing, and supporting Agentic AI systems in production environments.

Responsibilities

• Design, develop, and implement enterprise-scale Generative AI applications.
• Architect and build Agentic AI solutions and multi-agent workflows.
• Develop scalable AI services, APIs, and backend systems using Python.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures.
• Integrate LLMs with enterprise data sources, APIs, and business applications.
• Collaborate with product owners, architects, and stakeholders to translate business requirements into AI-powered solutions.
• Implement prompt engineering, evaluation frameworks, monitoring, and governance controls.
• Research emerging AI technologies and recommend innovative approaches.
• Troubleshoot complex production issues and optimize solution performance.
• Participate in architecture reviews, code reviews, and technical leadership initiatives.
• Mentor engineers and establish best practices for AI engineering and software development.

Skills

Generative AI

Agentic AI

Python Development

REST APIs

Microservices

Cloud Platforms

LLMs & Transformers

LangChain

AI Governance

Education

Bachelor's degree in CS/Engineering/AI/Data Science

Tools

LangChain

Semantic Kernel

OpenAI API

Anthropic API

Pinecone

Weaviate

Chroma

FAISS

Job description

Skills: Generative AI, Agentic AI and Python

Experience: 5+ years

We at Coforge are hiring a GenAI / Agentic AI Engineer with the following skillset:

• Senior GenAI / Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-native technologies. This role is ideal for engineers who have hands‑on experience building production‑ready AI applications and are passionate about driving innovation through Generative AI.
• You will work closely with architects, product teams, business stakeholders, and engineering leaders to deliver scalable AI solutions that solve complex business challenges and create measurable impact.

Key Responsibilities

• Design, develop, and implement enterprise‑scale Generative AI applications.
• Architect and build Agentic AI solutions and multi‑agent workflows.
• Develop scalable AI services, APIs, and backend systems using Python.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures.
• Integrate LLMs with enterprise data sources, APIs, and business applications.
• Collaborate with product owners, architects, and stakeholders to translate business requirements into AI‑powered solutions.
• Implement prompt engineering, evaluation frameworks, monitoring, and governance controls.
• Research emerging AI technologies and recommend innovative approaches.
• Troubleshoot complex production issues and optimize solution performance.
• Participate in architecture reviews, code reviews, and technical leadership initiatives.
• Mentor engineers and establish best practices for AI engineering and software development.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Information Systems, or a related technical field.
• 5+ years of software engineering and application development experience.
• 5+ years of SDLC experience building enterprise applications.
• 2+ years of hands‑on experience developing and deploying Generative AI solutions.
• Experience designing, implementing, and supporting Agentic AI systems in production environments.

Must-Have Skills

• Generative AI Production Development.
• Python Development.

Technical Skills

• Generative AI & Agentic AI.
• Strong understanding of Large Language Models (LLMs) and Transformer architectures.
• Experience building AI Agents and Agentic AI workflows.
• Hands‑on experience with:
  • LangChain / LangGraph.
  • Semantic Kernel.
  • OpenAI and Anthropic APIs
  • Tool Calling and Agent Orchestration Frameworks
• Advanced prompt engineering, context management, reasoning workflows, and prompt optimization techniques.
• RAG & Knowledge Systems.
• Hands‑on experience with vector databases including:
  • Pinecone.
  • Weaviate.
  • Chroma.
  • FAISS.
• AI Operations & Governance.
• LLM evaluation, benchmarking, and automated testing.
• AI observability, monitoring, and cost optimization.
• Responsible AI governance and compliance controls.
• Experimentation frameworks, KPI measurement, and A/B testing.
• Software Engineering.
• Strong Python programming expertise.
• Object-oriented design and software architecture best practices.
• REST APIs, Microservices, and distributed systems.
• Working knowledge of Java or other enterprise programming languages.
• Azure, AWS, or Google Cloud Platform.
• CI/CD pipelines and cloud-native development methodologies.
• Containerization and deployment best practices.

Nice-to-Have Skills

• Data Science.
• MLOps.
• Knowledge Graphs.
• Technical Leadership and Mentoring Experience.