AIFA Labs

5 days ago

Hyderabad, Telangana, India Aifa Labs Full time

Key Responsibilities Leadership :

- Drive architecture, design, and implementation of scalable and resilient systems.

- Provide hands-on guidance in system design, code quality, performance, and security.

- Collaborate with architects, ML engineers, and product managers to build AI-integrated solutions.

- Evaluate and recommend technologies, frameworks, and tools aligned with our tech strategy.

Team & People Management :

- Lead, mentor, and grow a cross-functional team of backend engineers, frontend developers, QA, and DevOps.

- Conduct 1 : 1s, performance reviews, and growth planning to foster talent and accountability.

- Maintain high standards of engineering excellence through reviews, feedback, and coaching.

Product Execution & Delivery :

- Own sprint planning, delivery commitments, and engineering KPIs (velocity, quality, SLAs).

- Align engineering execution with business goals, product roadmaps, and timelines.

- Track and mitigate technical risks, dependencies, and blockers across the product lifecycle.

Cross-functional Collaboration :

- Work closely with Product, Design, ML, QA, and DevOps teams to ensure smooth delivery.

- Translate product requirements into detailed technical plans and delivery roadmaps.

- Be the technical face of engineering in stakeholder meetings and leadership reviews.

Process, Quality & DevOps :


- Champion engineering best practices (TDD, CI/CD, IaC, code reviews, observability).

- Ensure operational excellence via automation, monitoring, alerting, and postmortems.

- Own system SLAs, incident management, and reliability goals.

Youll Be a Great Fit If You Have : Qualifications :

- 10+ years of total software engineering experience with at least 3 years in a leadership role.

- Strong hands-on background in backend engineering (Java, Node.js, Python, etc.) and cloud-native architectures Lead the technical design and development of solutions that integrate with SAP (S/4HANA, ECC, BTP, or APIs) and enterprise platforms.

- Experience leading and scaling engineering teams working on high-performance, distributed systems.

- Exposure to DevOps practices including CI/CD, Docker, Kubernetes, infrastructure-as-code (e.g., Terraform).

- Familiarity with software quality metrics, test automation, code coverage, and agile delivery.

- Experience managing AI/ML-based or data-intensive products (or eagerness to build in this space).

Preferred Qualifications :


- Prior experience building or managing AI/GenAI-integrated applications or tools (OpenAI, LangChain, vector databases, embeddings).

- Experience with MLOps, model lifecycle, or integrating LLMs into real-world applications.

- Exposure to front-end and full-stack delivery is a plus (React, Angular, etc.).

- Startup or scale-up experience with a bias for fast, iterative product delivery.

(ref:hirist.tech)

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