Job highlights

- Qualifications . Bachelors degree in Computer Science,Engineering,or related field . 8+ years of software engineering,architecture,QA,DevOps,or platform engineering experience . Hands-on experience delivering cloud-native and enterprise applications .
- Preferred: . .

Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices. Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.

Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.

Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.

Support brownfield semantic modeling and legacy system knowledge extraction.

Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.

Capture delivery learnings and convert them into reusable best practices.

Qualifications

Bachelors degree in Computer Science, Engineering, or related field

8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience

Hands-on experience delivering cloud-native and enterprise applications





Experience with AI-assisted development tools and contemporary software engineering practices

Strong coding and solution architecture background

Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform

Preferred: AWS/Azure/GCP certifications

Preferred: Experience in AI platform engineering and MLOps/LLMOps

Preferred: Financial Services domain experience

Technical Soft Skills

Prompt engineering and context engineering

Python, Java, JavaScript, or modern cloud development stack

DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.

GenAI platforms and LLM integration, MLOps / LLMOps

Semantic modeling and knowledge graph concepts

Coaching and mentoring experience

Collaboration across cross-functional teams

Strong verbal and written communication

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Forward Deployed Engineer (FDE) (Madurai)
🏢 Iflowtech Solutions
📍 Madurai