AI Engineer — Cloud Software & AI Platforms (Contract)

Job Title

AI Engineer — Cloud Software & AI Platforms (Contract)

Role Summary

Join the Cloud Software Engineering team focused on Quartus AI to design, build, and optimize AI-powered applications and platform services that improve developer productivity, knowledge discovery, and engineering workflows.

The role spans machine learning, LLMs, retrieval, data pipelines, and cloud-native services; you will collaborate with engineering, product, and domain experts to deliver scalable AI solutions.

Experience Level

Mid-level — expects approximately 3+ years of industry experience in software engineering, machine learning, data science, or related disciplines.

Responsibilities

Deliver production-ready AI components and platform functionality across model, data, and service layers.

• Design and implement ML and AI solutions using modern LLMs, retrieval systems, and agent-based architectures.
• Build and optimize agentic workflows that coordinate LLMs, tools, enterprise data, and APIs for multi-step reasoning and automation.
• Implement data processing, indexing, and retrieval pipelines to enable intelligent search and knowledge discovery.
• Develop evaluation frameworks, benchmarks, and monitoring to measure quality, accuracy, and user impact.
• Experiment with model selection, prompt engineering, retrieval strategies, ranking, and fine-tuning techniques.
• Analyze system performance and drive improvements via data-driven methods.
• Develop and maintain cloud-native services and APIs for AI applications.
• Participate in architecture and design reviews and promote engineering best practices.
• Stay current with advances in generative AI, information retrieval, and related technologies.

Requirements

Core technical skills and practical experience required for immediate contribution.

Must-have:

• 3+ years industry experience in software engineering, ML, data science, or related roles.
• Strong programming skills in Python and TypeScript; familiarity with modern SDLC practices.
• Hands-on experience with generative AI, large language models, or information retrieval systems.
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) concepts.
• Experience building scalable services on public cloud platforms (Azure, AWS, or Google Cloud).
• Familiarity with REST APIs, distributed systems, and cloud-native architectures.
• Strong analytical, troubleshooting, and communication skills.
• Eligibility for any required U.S. export authorizations.

Nice-to-have:

• Experience with LLM orchestration frameworks and agentic AI systems.
• Familiarity with Azure AI Search, Azure OpenAI, or comparable managed AI services.
• Knowledge of evaluation frameworks, experimentation, and A/B testing.
• Containerization and orchestration experience (Docker, Kubernetes).
• Experience with knowledge graphs, semantic search, recommendation systems, MLOps, or production model deployment.
• Background in developer tools, enterprise software, or technical documentation.

Education Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field (as listed by the employer).

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.