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Bengaluru · Hybrid · 3-5 Yrs · Oct 13
1 views
2 open roles1 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Job Title: Sr. AI/ML Engineer - SDLC
Responsibilities
- 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.
- Identify bottlenecks in development workflows and implement AI-driven optimizations. Reduce cycle time through automation and intelligent decision-support systems.
- 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.
- 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.
- 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.
- Ensure responsible AI usage, model performance monitoring, and security compliance. Establish standards and best practices for AI-assisted software development.
- 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.
- 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.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Sr. AI/ML Engineer - SDLC at Cyncly Careers?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cyncly Careers may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr. AI/ML Engineer - SDLC role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr. AI/ML Engineer - SDLC remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Sr. AI/ML Engineer - SDLC role at Cyncly Careers?
- This is a senior Sr. AI/ML Engineer - SDLC role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.