Principal Consultant, Backend Engineer (Python, FastAPI, GenAI)
Job Description
Inviting applications for the role of Principal Consultant, Backend Engineer (Python, FastAPI, GenAI)
We are seeking a hands-on Senior Backend Engineer to design and develop scalable backend services powering GenAI-based applications in the manufacturing domain. This role requires deep technical expertise in Python, FastAPI, AWS, and hands-on experience integrating Generative AI (LLMs, embeddings, vector databases, prompt engineering).
As a senior engineer, you will actively code, review, and deliver features, while also providing technical leadership, mentorship, and architectural guidance to the team.
Responsibilities
Hands-On Backend Engineering
Design, build, and maintain RESTful APIs and microservices using Python (FastAPI).
Implement RAG (Retrieval-Augmented Generation) pipelines, embeddings, and AI workflows.
Write clean, maintainable, and testable code, ensuring performance and scalability.
System Design & Architecture
Contribute to architectural design while remaining hands-on with coding and implementation.
Define integration strategies for LLMs, vector databases, and GenAI pipelines.
Establish best practices for code quality, scalability, and reliability.
Cloud & DevOps Leadership
Deploy and optimize backend services on AWS (ECS, Lambda, API Gateway, S3, RDS/DynamoDB).
Collaborate with DevOps to enhance CI/CD pipelines and monitoring systems.
Implement observability, logging, and cost optimization practices.
Mentorship & Collaboration
Guide and mentor junior engineers while staying hands-on in delivery.
Drive code reviews, knowledge-sharing, and squad-level technical excellence.
Work closely with product managers, QA engineers, and frontend teams.
Quality Assurance & Delivery
Define and enforce testing strategies (unit, integration, performance).
Ensure adherence to security, compliance, and reliability standards.
Drive continuous improvement in squad productivity and delivery quality
Qualifications we seek in you!
Minimum Qualifications
Relevant years of backend engineering experience, with active coding responsibilities.
Strong hands-on proficiency in Python (FastAPI framework).
Expertise in API design, microservices, and distributed systems.
Solid knowledge of databases (SQL/NoSQL) and data modeling.
Experience deploying cloud-native services on AWS.
Preferred Qualifications/ Skills
GenAI & Advanced Capabilities
Hands-on experience with LLMs, embeddings, vector databases(Open Search)
Practical knowledge of prompt engineering (zero-shot, few-shot, RAG patterns).
Familiarity with LLM integration frameworks (LangChain, Hugging Face, OpenAI APIs).