AI Lead - SDLC

Cyncly; India; Hybrid; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading global technology company seeks an AI Lead to drive AI-assisted development in their engineering teams. This role is essential for optimizing the Software Development Life Cycle (SDLC) using AI solutions. Candidates should have over 8 years of experience in software engineering and a strong background in AI/ML. Responsibilities include designing AI tools, enhancing productivity, and mentoring teams. The position offers a hybrid working model in Kochi or Bangalore, India.

Qualifications

• 8+ years of software engineering experience, strong exposure to AI/ML.
• Proven experience building AI/ML or GenAI-based products.
• Hands-on experience with LLMs and prompt engineering.

Responsibilities

• Design & develop AI solutions for SDLC optimization.
• Integrate LLMs for code assistance and documentation.
• Identify bottlenecks and improve engineering productivity.

Skills

AI/ML expertise

Polyglot programming (Python, Java, C#)

LLM experience

Software architecture knowledge

DevOps practices

Education

Bachelor’s/master’s in computer science, AI, Machine Learning

Tools

OpenAI

Hugging Face

vLLM or Ollama

RAG architectures

Job description

Job Title: AI Lead - SDLC

Location: Kochi or Bangalore, India (Hybrid)

Permanent - Full Time

About Us

Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the world's largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa.

Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world‑class support and sales with a local touch, providing the best possible customer experience.

Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specializing in technology.

About the role

We are seeking an AI Champion to drive adoption and excellence in AI‑assisted development across our engineering organization. This role will empower developers and technical teams to leverage AI tools effectively, accelerating development velocity while maintaining code quality and engineering standards.

Key Position Responsibilities Include

Design & Develop AI Solutions

• Build AI/ML and GenAI‑powered tools to optimize SDLC stages (requirements, coding, testing, deployment, maintenance).
• Develop intelligent systems for code generation, review, testing automation, defect prediction and democratizing large repos for new users.
• Improve Engineering Productivity.
• Identify bottlenecks in development workflows and implement AI‑driven optimizations.
• Reduce cycle time through automation and intelligent decision support systems.

GenAI & LLM Integration

• Design and implement solutions using LLMs (e.g., GPT, open‑source models) for code assistance, documentation generation, test case generation.
• Complete application/feature development from PRD.

Platform & Tooling Development

• Build reusable AI agents, APIs, or internal tools that can be adopted across engineering teams.
• Integrate AI solutions with existing DevOps tools (CI/CD, issue tracking, version control).

Data & Model Engineering

• Work with structured and unstructured engineering data (code repos, logs, tickets).
• Fine‑tune models and implement retrieval‑augmented generation (RAG) pipelines where needed.

Collaboration & Leadership

• Partner with engineering, product, and DevOps teams to drive adoption.
• Mentor engineers and promote AI‑first development practices.

Governance & Best Practices

• Ensure responsible AI usage, model performance monitoring, and security compliance.
• Establish standards for AI‑assisted development.

Required Experience and Qualifications

• Bachelor’s/master’s in computer science, AI, Machine Learning, or related field.
• 8+ years of experience in software engineering, with strong exposure to AI/ML.
• Proven experience building AI/ML or GenAI‑based products.
• Strong polyglot programming skills (Python, Java, C# etc.) and ability to adapt to various language ecosystems.
• Hands‑on experience with LLMs (OpenAI, Hugging Face, etc.), prompt engineering and evaluation, RAG architectures and vector databases.
• Experience with utilizing as well as fine‑tuning open‑source LLMs (Qwen, DeepSeek, Llama, etc.) for automating SDLC components.
• Familiarity with frameworks like vLLM or Ollama.
• Solid understanding of software architecture, system design and modern DevOps practices.

Core Competencies

• Measurable reduction in SDLC cycle time.
• Increased developer productivity and efficiency.
• Improved code quality and reduced defect leakage.
• High adoption of AI tools across engineering teams.