Principal Applied AI Engineer at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Systems, Data Ingestion, Model Training, Model Evaluation, Production Environments, LLMs, GenAI Frameworks, LangChain, LlamaIndex, Haystack, Prompt Engineering, Retrieval-Augmented Generation, Model Fine-Tuning, Python, C#, Java

Industry

Software Development

Description

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments. Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy. Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning. Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance. Collaborate with cross-functional teams to translate business requirements into technical solutions. Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement. Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks. Optimize models for latency, throughput, and accuracy in real-world scenarios. Work closely with data scientists, product managers, and other engineers to drive AI initiatives. Stay current with the latest advancements in GenAI, LLMs, and AI frameworks. Prototype and experiment with emerging technologies to assess feasibility and impact. Bachelor's Degree in Computer Science, Data Science or related technical field Minimum 9+ Years of total Experience. 5+ years technical engineering experience with coding in languages including C#, Java AND Python Should have 5+ years in Data Science experience 3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation. Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#) 3+ years experience developing software systems end-to-end, from design to implementation. 2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Responsibilities

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments. Collaborate with cross-functional teams to translate business requirements into technical solutions and ship large-scale AI applications.