Senior AI Engineer
Sign up free to see how well your resume matches this role.
What you'll do
- Design and implement generative AI solutions, including knowledge of various generative and autoregressive models
- Apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis
- Design scalable, reliable, and cost-effective architectures for AI solutions
- Design distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes
What they're looking for
- 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models
- Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis
- 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDK’s
- 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration
- 7+ years of experience in Python
- 5+ years of experience in software development
- 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS)
- 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance
- 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Description:
Senior Generative AI Engineer
Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
Experience: 4 to 16 Years
Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis.
• 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDK’s
• 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration
• 7+ years of experience in Python
• 5+ years of experience in software development
• Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance.
• Architecture Design: 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.