Sr. AI/ML Engineer - SDLC (Kochi)

Sr. AI/ML Engineer - SDLC (Kochi)

06 Aug
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Top Gen AI Jobs
|
Kochi

06 Aug

Top Gen AI Jobs

Kochi

Home/Jobs/Sr. AI/ML Engineer - SDLC

Sr. AI/ML Engineer - SDLC

Cyncly

Kochi / Bengaluru

5+ years

Today

$41.0K–54.2K/yr

Full-time

Hybrid

Skills Required LLM

RAG

LangChain

Gen AI

OpenAI

Hugging Face

Vector Database

Prompt Engineering vLLM

GraphRAG

Machine Learning

Python

Java

C#

AutoGen

Description Cyncly is hiring a Senior AI/ML Engineer to drive AI-assisted development and improve engineering productivity across the SDLC. The role focuses on building AI/ML and GenAI solutions, integrating them into developer workflows, and maintaining quality and governance standards.

Company: Cyncly

Role: Sr. AI/ML Engineer - SDLC

Location: Kochi or Bangalore, India (Hybrid)

Experience

- 5+ years of experience in software engineering
- Strong exposure to AI/ML
- Proven experience building AI/ML or GenAI-based products
- Hands-on experience with LLMs, prompt engineering, and evaluation
- Experience with agentic frameworks such as LangGraph, AutoGen, or LangChain
- Hands-on experience evaluating and fine-tuning open-source models
- Experience with ASTs and code-parsing tools like Tree-sitter or LSP
- Hands-on experience with graph databases and knowledge graphs or GraphRAG

Qualification

- Bachelor’s degree in computer science, AI, Machine Learning, or related field
- Master’s degree in computer science, AI, Machine Learning, or related field

Responsibilities

- Build AI/ML and GenAI-powered tools to optimize SDLC stages
- Develop systems for code generation, code review, testing automation, and defect prediction
- Improve engineering productivity by identifying workflow bottlenecks and implementing AI-driven optimizations
- Reduce cycle time through automation and decision-support systems
- Design solutions for code assistance,



documentation generation, and test case generation
- Support end-to-end application or feature development from PRDs
- Build reusable AI agents, APIs, and internal tools for engineering teams
- Integrate AI solutions with DevOps tools, CI/CD pipelines, issue-tracking systems, and version-control platforms
- Work with structured and unstructured engineering data such as code repositories, logs, and tickets
- Design and develop RAG pipelines where required
- Ensure responsible AI usage, model performance monitoring, and security compliance
- Establish standards and best practices for AI-assisted software development

Additional Responsibilities

- Support collaboration with global teams during 12:30 PM to 9:30 PM IST
- Maintain code quality and engineering standards while accelerating development velocity

Nice To Have

- Experience using open-source models such as Qwen, DeepSeek, Llama, or GLM to automate SDLC workflows
- Familiarity with vLLM or Ollama
- Experience democratizing large repos for current users

More Skills AI/ML, LangGraph, Qwen, DeepSeek, Llama, GLM, Ollama, Software architecture, System design, DevOps, ASTs, Tree-sitter, LSP, Graph databases, Neo4j, ArangoDB, Knowledge Graphs, CI/CD pipelines, Issue-tracking systems, Version-control platforms, Code generation, Code review, Testing automation, Defect prediction

Other





- Permanent full-time position
- Hybrid work model
- Global technology company with 2,400+ employees and 70,000+ customers across 100+ countries
- Business spans Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries
- Operations across North & South America, Europe, Asia Pacific, and Africa
- Over 30 years of experience
- Focus on end-to-end software solutions for designers, retailers, and manufacturers
- Core competencies include measurable reduction in SDLC cycle time, increased developer productivity and efficiency, improved code quality and reduced defect leakage, and high adoption of AI tools across engineering teams
- Culture emphasizes ownership, problem-solving, curiosity, openness, trust, respect, flexibility, autonomy, and continuous learning
- OneCyncly team culture

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

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