## 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 modern 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 Robust 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 (Chennai)
🏢 Iflowtech Solutions
📍 Chennai