Workfall is a new-age premium talent tech platform, looking for a skilled Senior 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