Senior AI Engineer

Workfall is a new-age premium talent tech platform, looking for a skilledSenior AI Engineer. As a Senior AI Engineer, you will design, build, and operate production-grade AI systems end to end. This role sits at the intersection of machine learning, software engineering, and enterprise delivery.

You will work on a mix of:

• LLM-based solutions (API-based models, RAG, agents)

• Classical ML / DL systems (forecasting, anomaly detection, computer vision)

Senior AI Engineers are expected to work independently with minimal guidance; own solutions end to end and contribute to setting technical standards across the AI portfolio.

Experience: 6 to 8 years

Location: Hyderabad

Employment Type: Full-Time, Hybrid

Time Zone: Selected candidate is required to work as per:

• India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

Key Responsibilities:

• Design and implement end-to-end AI solutions from problem framing to production
• Build and operate LLM-powered systems (prompting, RAG, agents, evaluation, guardrails)
• Translate business problems into robust, measurable AI use cases
• Collaborate with data engineers, software engineers, and domain experts
• Ensure AI solutions are reliable, scalable, secure, and maintainable
• Contribute to AI architecture, best practices, and reusable components
• Support monitoring, evaluation, and continuous improvement of AI systems

Requirements:

• Bachelor's or master's degree in computer science, Engineering, (BE / ME – Computer Science, Computer Science or IT, MCA).
• 6+ years of experience in AI, machine learning, or applied data science roles
• Strong programming skills (Python required)
• Hands-on experience with ML/DL frameworks and libraries
• Experience working with API-based LLMs and modern GenAI patterns (e.g. RAG, multi-agents)
• Solid software engineering fundamentals (modularity, testing, version control)
• Experience deploying and operating AI systems in production
• Ability to work independently, structure work, and manage risks proactively
• Strong problem-solving and system design skills

Nice to Have:

• Experience with enterprise data platforms and ERP integrations (e.g. SAP)
• Exposure to cloud environments and MLOps tooling
• Experience with computer vision, time series, or optimization problems
• Develop, train, and deploy ML/DL models where appropriate
• Familiarity with responsible AI, explainability, and governance concepts