AI Engineer
Job Summary
Synechron is hiring an AI Engineer to design and implement AI agents and AI architecture within CI/CD workflows on AWS. This role will help improve engineering efficiency, support secure software delivery, and enable scalable AI-driven automation across development processes.
Software Requirements
Required
Python – 6+ years of hands-on development experience
LLMs / GenAI platforms – experience with OpenAI, Amazon Bedrock, or similar
AWS services – hands-on knowledge of Lambda, SageMaker, S3, API Gateway, ECS and/or EKS
RAG pipeline engineering – including implementation using SageMaker + Lambda
MCP server development and tool integrations
Experience building agentic workflows or autonomous AI agents
Experience with code generation / code fixing using LLMs
Experience with vector databases
Understanding of application security and vulnerabilities
Preferred
Exposure to CI/CD tools such as GitHub, Jenkins, Harness, or similar
Familiarity with security tools such as Snyk, SonarQube, or similar
Knowledge of Docker and Kubernetes
Experience in security automation or remediation systems
Overall Responsibilities
Design and build AI agents and AI-enabled workflows for engineering use cases
Develop scalable AI solutions on AWS for CI/CD and automation needs
Build and optimize RAG pipelines and retrieval workflows
Integrate LLMs into code generation, code fixing, and developer support use cases
Develop MCP servers and tool integrations
Support secure implementation by considering application vulnerabilities and remediation workflows
Collaborate with engineering, DevOps, platform, and security teams
Deliver reliable, maintainable, and production-ready AI solutions
Technical Skills (By Category)
Programming Languages
Essential: Python
Preferred: Scripting experience for automation and cloud environments
Databases / Data Management
Essential: Vector databases, document retrieval, indexing, embeddings
Preferred: Knowledge of data governance and retrieval optimization
Cloud Technologies
Essential: AWS, including Lambda, SageMaker, S3, API Gateway, ECS/EKS
Preferred: Cloud cost optimization and observability practices
Frameworks and Libraries
Essential: LLM / GenAI integration frameworks, RAG components, agent orchestration patterns
Preferred: Evaluation, monitoring, and guardrail tooling
Development Tools and Methodologies
Essential: MCP development, AI agents, software development lifecycle practices
Preferred: CI/CD platforms, Docker, Kubernetes, MLOps exposure
Security Protocols
Essential: Secure coding practices, application security, vulnerability awareness
Preferred: Security scanning and remediation automation tools
Experience Requirements
6+ years of experience in software engineering, AI engineering, or related roles
Hands-on experience with Python-based AI development
Experience building LLM / GenAI solutions, RAG pipelines, and agentic workflows
Experience deploying solutions on AWS
Preferred experience in DevOps, platform engineering, CI/CD, or security automation environments
Equivalent combinations of software engineering, AI, cloud, or automation experience will also be considered
Day-to-Day Activities
Build and maintain AI agents, APIs, and workflow components
Develop and improve RAG pipelines and tool integrations
Support code generation and remediation use cases using LLMs
Work with cloud and DevOps teams to integrate AI into CI/CD workflows
Participate in design reviews, sprint planning, and technical discussions
Create documentation, deployment artifacts, and implementation standards
Troubleshoot performance, reliability, and security issues
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field
Equivalent practical experience may be considered
Preferred certifications in AWS, AI/ML, cloud, Kubernetes, or security
Commitment to continuous learning in AI, cloud, and secure engineering practices
Professional Competencies
Strong analytical and problem-solving skills
Ability to work collaboratively across technical teams
Clear written and verbal communication
Ability to manage priorities and deliver against timelines
Adaptability to evolving tools, technologies, and business needs
Focus on practical innovation and measurable outcomes
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.