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Job Description: Gen AI Engineer

Responsibilities:
- Design, develop, and implement advanced solutions leveraging Large Language Models (LLMs).
- Take full ownership of initiatives, delivering end-to-end solutions with minimal supervision.
- Stay current with the latest advancements in Generative AI, LLMs, RAG systems, and applied research.
- Build and maintain reusable code libraries, tools, and frameworks to accelerate AI development.
- Participate in code reviews to ensure high-quality, maintainable, and scalable solutions.
- Contribute across the entire software development lifecycle—design, implementation, testing, deployment, and maintenance.
- Collaborate with cross-functional teams to align AI solutions with business goals, integrate contributions into core systems, and influence roadmaps.
- Apply strong analytical and problem-solving skills to design effective solutions for complex business challenges.




- Communicate effectively across technical and non-technical teams, ensuring transparency and alignment.
- Own business impact of AI solutions, including adoption, accuracy, latency, and cost efficiency
- Translate ambiguous business problems into structured AI solution approaches and measurable outcomes
- Drive solution success metrics (e.g., productivity gains, automation %, decision accuracy)
- Engage directly with business and technical stakeholders to understand requirements, present solutions, and influence decision-making
- Communicate solution architecture and trade-offs clearly to both technical and non-technical audiences
- Contribute to client discussions, PoCs, and proposal development.
- Design scalable, modular, and production-grade AI systems (APIs, pipelines, orchestration layers)
- Define architecture patterns for LLM applications (RAG pipelines, agentic workflows, hybrid systems)
- Make tr

📌 Gen AI Engineer (Mumbai)
🏢 Fractal
📍 Mumbai