Sr. AI Engineer, AI FDE
Accountabilities Design and develop advanced generative AI solutions using techniques such as retrieval-augmented generation (RAG), multi-agent systems, Text-to-SQL, and model fine-tuning.
Lead the deployment and production rollout of customer-facing and internal AI applications, ensuring reliability, scalability, and performance.
Serve as a trusted technical advisor to customers, translating business challenges into effective AI architectures and implementation strategies.
Evaluate, optimize, and improve production-grade AI applications through systematic testing, performance analysis, and continuous iteration.
Collaborate with product, engineering, research, and developer relations teams to influence product priorities and contribute to the technical roadmap.
Share technical expertise through customer engagements, conference presentations, and internal knowledge-sharing initiatives.
Support strategic projects and subject-matter experts by applying practical AI engineering expertise to complex business problems.
Travel to customer locations approximately once every four to eight weeks, as business needs require.
Requirements
Extensive hands-on industry experience in data science, machine learning, and the development of practical AI solutions.
Demonstrated experience building generative AI applications, including RAG pipelines, multi-agent systems, Text-to-SQL solutions, and fine-tuned models.
Familiarity with AI development frameworks and tools such as Hugging Face, LangChain, and DSPy.
Strong expertise in deploying production-grade generative AI applications, including evaluation methodologies, performance optimization, and operational reliability.
Experience building and deploying machine learning solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Proficiency with common data science and machine learning tools, including pandas, scikit-learn, and PyTorch.
A graduate degree in a quantitative field, such as computer science, engineering, statistics, or operations research, or equivalent practical experience.
Strong communication and presentation skills, with the ability to explain and teach complex technical concepts to both technical and non-technical audiences.
A collaborative mindset, intellectual curiosity, and a commitment to continuous learning and delivering measurable business value through AI.
Preferred: Experience with large-scale distributed data processing using Apache Spark and the Databricks Intelligence Platform.
Willingness to travel periodically to meet customers and support project delivery.
Benefits
Remote work opportunity based in India.
Opportunity to work on cutting-edge generative AI and machine learning applications.
Exposure to complex customer challenges across multiple industries.
Collaboration with cross-functional teams working on AI research, engineering, and product development.
Opportunities to contribute to technical thought leadership, industry conferences, and knowledge-sharing initiatives.
Region-specific employee benefits and perks may be available; exact details regarding compensation, healthcare, leave, and other benefits have not been specified and should be confirmed during the hiring process.
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