Senior AI Engineer
First seen by Alion on Aug 17, 2026.
Job Title : Senior AI Engineer
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:
- Bachelors or masters degree in computer science, Engineering (BE / ME 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
Skills
Machine Learning, Python, RAG, Computer Vision, MLOps, Deep Learning, Data Science, LLM