AI Engineer
Synechron (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted 13h ago
Reach people at Synechron
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Synechron you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build, develop, and implement AI agents, RAG pipelines, MCP servers, and AI architecture within AWS-based CI/CD workflows.
- Design and deploy production-ready AI applications using LLMs, Generative AI, Python, and AWS services ensuring functionality, scalability, security, and cost effectiveness.
- Integrate AI solutions with software engineering, DevOps, security, and business workflows while applying application security principles and maintaining operational documentation.
Minimum Requirements
- Minimum 8+ years of professional experience in software, cloud, AI, data engineering, or related roles with at least 3+ years in AI development using LLMs, GenAI, RAG pipelines, AI agents.
- Strong hands-on experience with Python, AWS services (Lambda, ECS/EKS, S3, API Gateway), RAG pipeline engineering (SageMaker, Lambda), MCP servers, vector databases, and AI agent development.
- Experience building and implementing AI agents and AI architecture within CI/CD workflows on AWS with security principles applied to AI solutions.
- Preferred degree in Computer Science, IT, Engineering, AI, or Data Science; equivalent experience considered. Certifications preferred but not mandatory.
Ideal Candidate Profile
- Experienced in integrating AI technologies into cloud-native, CI/CD-driven enterprise environments with cross-functional collaboration skills.
- Capable of designing secure, scalable AI applications focusing on operational reliability, security controls, and cost efficiency in AWS.
- Proficient in end-to-end AI solution delivery including development, testing, deployment, documentation, and continuous improvement within regulated or security-sensitive contexts.