AI Engineer

Location: Bengaluru, Karnataka, India | Experience: Mid Level (4-6 years)

About the Company

Aziro is an AI-native product engineering company helping global enterprises, high-growth ISVs, and AI-first companies modernize platforms, automate intelligently, and build production-grade AI systems. The company combines product-engineering expertise with AI-native execution to serve as an end-to-end engineering partner and elite build force. Its capabilities span AI and data engineering, digital and product engineering, cloud and infrastructure engineering, DevSecOps, QA automation, enterprise automation, and intelligent networking. Aziro’s mission is to drive technology transformations that help clients achieve market leadership, while its vision is to be the elite tech force trusted by technology leaders to drive transformation at scale. The organization values customer centricity, passionate service, continuous innovation, agility in execution, and empowering its people.

About the Role

As an AI Engineer at Aziro, you will own the engineering delivery of intelligent systems that solve meaningful business problems for enterprises, ISVs, and AI-first companies. You will translate product and client needs into reliable machine learning and generative AI solutions, moving models from experimentation into production through disciplined engineering practices. The role combines model development, data pipelines, API integration, evaluation, deployment, and operational ownership. You will work with product, data, cloud, and engineering stakeholders to improve system quality, scalability, security, and measurable business impact. Success means delivering AI capabilities that are dependable in production, maintainable by engineering teams, and aligned with customer outcomes.

Key Responsibilities

• Own the design and delivery of production-grade AI and machine learning services, connecting technical decisions to measurable improvements in customer workflows, product capability, or operational efficiency.
• Build data preparation, feature, inference, and evaluation pipelines that improve model reliability, reproducibility, and speed from experimentation through production deployment.
• Develop and integrate generative AI applications using suitable models, retrieval, prompting, tools, and guardrails while maintaining accuracy, safety, latency, and cost discipline.
• Partner with product managers, data engineers, cloud engineers, and client stakeholders to convert ambiguous business needs into scoped AI solutions with clear success measures.
• Establish monitoring and feedback loops for model quality, system performance, drift, failures, and user outcomes, enabling continuous improvement after release.
• Contribute to architecture, code reviews, testing, documentation, and deployment standards that make AI systems secure, scalable, observable, and maintainable.
• Evaluate emerging AI techniques and platforms through focused prototypes, recommending adoption only when they create durable technical or business advantage.

Essential Skills & Technologies

• Strong Python engineering skills with experience building maintainable services, data workflows, APIs, tests, and production integrations using modern software development practices.
• Practical experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn, including model development, evaluation, tuning, and deployment considerations.
• Hands-on understanding of generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt design, and application-level evaluation.
• Experience with data processing and orchestration tools, relational or NoSQL databases, and cloud platforms such as AWS, Azure, or Google Cloud for scalable AI workloads.
• Knowledge of MLOps or DevOps practices, including containerization, CI/CD, model monitoring, experiment tracking, observability, and secure production operations.
• Ability to reason about data quality, model limitations, responsible AI, privacy, security, latency, reliability, and cost when making system design decisions.

Additional Plus

• Experience delivering AI solutions for enterprise platforms, intelligent automation, recommendation systems, conversational products, or other customer-facing production environments.
• Familiarity with Kubernetes, distributed systems, event-driven architectures, or infrastructure-as-code for operating reliable AI services at scale.
• Contributions to technical communities, applied research, open-source projects, patents, or a strong portfolio demonstrating practical AI engineering outcomes.

What You'll Bring

• You bring four to six years of experience building and operating machine learning, artificial intelligence, or data-intensive software systems, with evidence of taking solutions from concept to dependable production use.
• You combine strong software engineering fundamentals with practical judgment about models, data, infrastructure, and user needs, choosing approaches that are reliable, maintainable, and proportionate to the business problem.
• You communicate clearly across technical and non-technical teams, making complex AI trade-offs understandable and turning feedback into better system design, delivery decisions, and measurable outcomes.
• You take ownership beyond implementation by validating impact, monitoring operational behavior, improving quality over time, and helping teammates build stronger engineering practices.
• You are comfortable working in an agile, collaborative environment where priorities evolve and successful delivery depends on customer centricity, curiosity, execution discipline, and continuous learning.

Why Join Us

Join Aziro to work on AI-led technology transformations that matter to global enterprises, high-growth ISVs, and AI-first companies. You will help build production-grade systems rather than isolated prototypes, with direct responsibility for how engineering choices improve products, platforms, and customer outcomes. The role offers broad exposure across AI and data engineering, product engineering, cloud infrastructure, DevSecOps, enterprise automation, and intelligent networking, giving you room to deepen your craft while understanding the full delivery lifecycle. You will collaborate with experienced engineering and client-facing teams, solve complex problems across industries, and contribute to an organization that treats innovation as an operating responsibility. Aziro’s culture emphasizes being customer centric, serving with passion, executing with agility, empowering people, and continuously improving how work gets done. If you enjoy turning emerging AI capabilities into dependable systems with clear business value, this role provides the ownership, technical range, and transformation-focused environment to grow your impact.

What We Offer

• The opportunity to own meaningful AI engineering outcomes for global enterprises, high-growth ISVs, and AI-first companies while working across complex transformation programs.
• A collaborative environment that supports continuous learning, technical growth, empowered decision-making, and exposure to modern AI, cloud, data, and product-engineering practices.
• Competitive compensation alongside the opportunity to contribute to an AI-native engineering organization focused on production impact, customer trust, and long-term technology leadership.