Software Engineer (AI Backend Services) Evergreen Role

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

The Software Engineer (AI Backend Services) will design develop and own backend systems and components that power generative AI applications and large language model (LLM) integrations. This role focuses on independently architecting and delivering scalable secure and high-performance services using Python FastAPI and AWS cloud infrastructure while mentoring junior engineers.

This is an individual contributor role

KEY RESPONSIBILITIES

Design and implement Python-based backend services (on FastAPI) for AI workloads including LLM integration and generative AI pipelines
Own end-to-end design and delivery of APIs and microservices for model serving inference and orchestration of AI agents
Architect and maintain AWS-based infrastructure for AI workloads (e.g. Lambda EKS) with focus on scalability and reliability
Make independent technical decisions for component-level architecture and design patterns
Lead integration efforts for LLMs and generative AI models into production systems using LangChain Langfuse and litellm
Establish monitoring logging and observability best practices for AI backend services
Optimize backend performance for large-scale AI applications
Mentor Software Engineer II team members through code reviews and technical guidance
Collaborate with cross-functional teams and influence technical direction across multiple projects

BASIC QUALIFICATIONS

4-7 years of professional software engineering experience with strong backend focus
Expert-level proficiency in Python for backend development in production environments
Solid understanding of LLMs generative AI concepts and modern AI frameworks (e.g. LangChain litellm Langfuse)
Proven experience designing and building scalable systems on AWS (Lambda API Gateway EKS)
Deep knowledge of microservices architecture API design and distributed systems
Strong experience with containerization (Docker/Kubernetes) and orchestration
Demonstrated ability to own technical components and make independent architectural decisions
Bachelors or Masters degree in Computer Science Engineering or related field or equivalent practical experience

PREFERRED QUALIFICATIONS

Extensive experience building and scaling APIs and backend systems for AI/ML workloads in production
Deep expertise with FastAPI and asynchronous Python programming
Experience architecting event-driven systems for AI applications
Track record of mentoring engineers and conducting effective code reviews
Strong understanding of system design patterns and trade-offs
Experience with infrastructure-as-code (Terraform CloudFormation)
Knowledge of model deployment strategies and MLOps practices
Proven ability to drive technical initiatives and influence engineering culture
Excellent communication skills and experience working across teams

Work assignment location : Remote

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech

Required Experience:

This is an individual contributor role

KEY RESPONSIBILITIES

Design and implement Python-based backend services (on FastAPI) for AI workloads including LLM integration and generative AI pipelines
Own end-to-end design and delivery of APIs and microservices for model serving inference and orchestration of AI agents
Architect and maintain AWS-based infrastructure for AI workloads (e.g. Lambda EKS) with focus on scalability and reliability
Make independent technical decisions for component-level architecture and design patterns
Lead integration efforts for LLMs and generative AI models into production systems using LangChain Langfuse and litellm
Establish monitoring logging and observability best practices for AI backend services
Optimize backend performance for large-scale AI applications
Mentor Software Engineer II team members through code reviews and technical guidance
Collaborate with cross-functional teams and influence technical direction across multiple projects

BASIC QUALIFICATIONS

4-7 years of professional software engineering experience with strong backend focus
Expert-level proficiency in Python for backend development in production environments
Solid understanding of LLMs generative AI concepts and modern AI frameworks (e.g. LangChain litellm Langfuse)
Proven experience designing and building scalable systems on AWS (Lambda API Gateway EKS)
Deep knowledge of microservices architecture API design and distributed systems
Strong experience with containerization (Docker/Kubernetes) and orchestration
Demonstrated ability to own technical components and make independent architectural decisions
Bachelors or Masters degree in Computer Science Engineering or related field or equivalent practical experience

PREFERRED QUALIFICATIONS

Extensive experience building and scaling APIs and backend systems for AI/ML workloads in production
Deep expertise with FastAPI and asynchronous Python programming
Experience architecting event-driven systems for AI applications
Track record of mentoring engineers and conducting effective code reviews
Strong understanding of system design patterns and trade-offs
Experience with infrastructure-as-code (Terraform CloudFormation)
Knowledge of model deployment strategies and MLOps practices
Proven ability to drive technical initiatives and influence engineering culture
Excellent communication skills and experience working across teams

Work assignment location : Remote

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech

Required Experience:

Key Skills

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Pfizer

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