AI Engineer – Python, AWS Bedrock, Generative AI, LangChain & Serverless Architect
Job Summary
Job Summary
Synechron is seeking a skilled AI Engineer specializing in Python and AWS to design and implement end-to-end Generative AI and Large Language Model (LLM) based solutions. This role focuses on building intelligent pipelines leveraging AWS Bedrock and advanced AI frameworks to develop AI agents and serverless applications. The AI Engineer will drive innovation by integrating LLMs with enterprise systems and orchestrating AI workflows that deliver business value particularly in talent acquisition and financial sectors.
Software Requirements
Required:
Python programming with strong AI/ML development experience
AWS Bedrock (mandatory) for building AI solutions
AWS Lambda API Gateway and event-driven serverless architectures
Generative AI LLMs prompt engineering and retrieval-augmented generation (RAG) pipelines
AI agent frameworks such as LangChain Agent Core or similar
Preferred:
AI frameworks like PyTorch TensorFlow
Experience with Model Context Protocol (MCP)
Research automation tools such as QuickSuite Deep Research
Hierarchical and multi-agent architectures
Vector databases e.g. FAISS Pinecone Weaviate
Overall Responsibilities
Design develop and implement scalable GenAI and LLM-based AI solutions on the AWS cloud platform
Build intelligent data and AI pipelines using AWS Bedrock and advanced prompt engineering techniques
Develop AI agents with multi-step reasoning and tool-calling capabilities leveraging agent-based frameworks
Create serverless AI applications using AWS Lambda API Gateway and event-driven designs
Integrate LLMs with enterprise APIs vector databases and RAG systems to enhance business workflows
Collaborate closely with cross-functional teams to align AI solutions with organizational objectives
Stay abreast of emerging AI research and technologies to continuously improve and innovate AI models and applications
Contribute to the strategic planning and delivery of AI initiatives within Synechron
Technical Skills (By Category)
Programming Languages:
Essential: Python (advanced proficiency)
Databases/Data Management:
Preferred: Vector databases including FAISS Pinecone Weaviate
Cloud Technologies:
Essential: AWS Bedrock AWS Lambda API Gateway
Development Tools and Methodologies:
Agile development practices version control systems
Security Protocols:
Awareness of secure cloud and AI practices preferred
Experience Requirements
4 years in AI engineering data science or related roles involving generative AI and LLM-based solutions
Hands-on experience building AI solutions on AWS especially with AWS Bedrock and serverless architectures
Proven expertise working with agentic AI systems multi-step reasoning or tool-calling pipelines
Experience integrating LLMs and AI workflows within enterprise ecosystems
Industry experience in talent acquisition financial services or related domains preferred
Alternative experience pathways may include demonstrable project work in AI integration and cloud deployments
Day-to-Day Activities
Designing and developing generative AI and agent-based pipelines on AWS
Implementing serverless AI applications and managing event-driven workflows
Collaborating with product engineering and data teams to understand requirements and deliver solutions
Debugging and optimizing AI models and infrastructure
Conducting research on emerging AI technologies and applying findings to enhance capabilities
Participating in Agile rituals including sprint planning reviews and retrospectives
Qualifications
Bachelors degree or higher in Computer Science Engineering Data Science or related fields or equivalent practical experience
Certifications related to AI AWS cloud technologies or software engineering are advantageous
Commitment to ongoing learning in AI cloud services and emerging technologies
Professional Competencies
Strong analytical and critical thinking skills focused on AI problem solving
Effective communication to convey complex AI concepts to diverse stakeholders
Collaborative mindset with leadership qualities to influence cross-functional teams
Adaptability to fast-evolving AI landscapes and changing business priorities
Innovative approach to AI solution design and implementation
Strong organizational and time management skills for managing multiple priorities
SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Required Experience:
Staff IC
About Company
Chez Synechron, nous croyons en la puissance du numérique pour transformer les entreprises en mieux. Notre cabinet de conseil mondial combine la créativité et la technologie innovante pour offrir des solutions numériques de premier plan. Les technologies progressistes et les stratégie ... View more