Sr. AI/ML Engineer - SDLC
Fa Ewdg Saasfaprod1 Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Fa Ewdg Saasfaprod1. Kochi · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI and generative AI tools for requirements, coding, testing, deployment and software maintenance
- Create code generation, review and test systems, predict defects, and help newcomers navigate large repositories
- Find slow points in engineering workflows, then automate work to shorten development cycles
- Develop reusable AI agents and internal tools, connect them to DevOps systems, and apply models to code, logs and tickets
What you bring
- At least five years in software engineering, including substantial exposure to AI or machine learning
- A bachelor's or master's degree in computer science, AI, machine learning or a related area
- A record of building AI or generative AI products, with hands-on work in language models, prompt evaluation, retrieval systems and vector databases
- Strong programming across languages such as Python, Java or C#, plus experience with agent frameworks
- Experience with code parsing and graph databases, alongside knowledge of software architecture and modern DevOps
Who this fits
This senior role suits an engineer who builds AI-assisted development tools and can work across varied programming ecosystems. You need to be available from 12:30 PM to 9:30 PM IST to collaborate with global teams. The position is hybrid in Bangalore.
From the employer
Job Title: Sr. AI/ML Engineer - SDLC
Location: 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.
Cyncly & The Power of AI
At Cyncly, we believe in unlocking the power of AI to deliver highly personalized and extraordinary experiences for our customers and their clients. We are on a dynamic journey of seeking exceptional talent to add critical AI models and functionality to our products used by over 17,000 customers worldwide. This is opportunity to be a part of a collaborative team that fosters continuous learning and growth, where you'll work on exciting data driven projects that redefine the Spaces for Living industry. AI is reshaping private and business life at an unprecedented speed, and Cyncly is committed to leading the charge in delivering new sources of value for our customers.
Availability between 12:30 PM to 9:30 PM IST is required to support collaboration with our global teams.
About the role
We are seeking a Senior AI/ML Engineer - SDLC to serve as a core technical builder 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 respos 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 and open-source models) for code assistance, documentation generation, test case generation, and end-to-end application or feature development from PRDs.
Platform & Tooling Development
- Build reusable AI agents, APIs, and internal tools that can be adopted across engineering teams. Integrate AI solutions with existing DevOps tools, including CI/CD pipelines, issue-tracking systems, and version-control platforms.
Data & Model Engineering
- Work with structured and unstructured engineering data, including code repositories, logs, and tickets. Fine-tune models and develop Retrieval-Augmented Generation (RAG) pipelines where required.
Governance & Best Practices
- Ensure responsible AI usage, model performance monitoring, and security compliance. Establish standards and best practices for AI-assisted software development.
Required Experience and Qualifications:
- Bachelor’s/master’s in computer science, AI, Machine Learning, or related field.
- 5+ 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 launguage ecosystems.
- Hands-on experience with:LLMs (OpenAI, Hugging Face, etc.), Prompt engineering and evaluation, RAG architectures and vector databases.
- Experience with Agentic frameworks (LangGraph, AutoGen, or LangChain).
- Hands-on experience utilizing, evaluating, and fine-tuning open-source models (e.g., Qwen, DeepSeek, Llama, GLM) to automate key SDLC workflows is a strong advantage.
- Familiarity with frameworks like vLLM or Ollama.
- Solid understanding of software architecture, system design and modern DevOps practices.
- Proven Experience with ASTs (Abstract Syntax Trees) and code-parsing tools like Tree-sitter or LSP (Language Server Protocols).
- Hands on experience with Graph Databases (Neo4j, Arango DB or similar) and their application in Knowledge Graphs or GraphRAG.
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.
Working for Us
At Cyncly, we call our team OneCyncly, a reflection of how we work together as one, united by our purpose: powering businesses that bring spaces to life. Our strength comes from our diversity of experiences, perspectives, and skills - and we thrive when we work together with openness, trust, and respect.
Here, you’ll join a group of colleagues who take ownership, solve problems, and focus on making an impact. We embrace curiosity, welcome new ideas, and see mistakes as opportunities to learn. You’ll have the freedom to work flexibly and autonomously, supported by teammates and leaders who are committed to your growth.
We celebrate the different ways people contribute and encourage everyone - from every background - to bring their authentic self to work. Because when we collaborate, challenge each other, and share what we know, we build something better together.
If you want to work in a place where your ideas matter, your growth is valued, and your work shapes the spaces people live, work, and play in - Come join us.