Senior Python AI Developer

Aavalar Consulting, Inc; West Chester (Chester County); On-site; USD 140,000 - 190,000; Full time

Job summary

Aavalar Consulting, Inc. is seeking a senior software engineer to design and build Python-based SDKs, APIs, and backend services.

You will architect agentic AI applications and cloud-native solutions on AWS, with containerized workloads on EKS, delivering robust systems with minimal oversight. You will collaborate with AI/ML practitioners, translate requirements into scalable technical solutions, participate in code reviews, and help drive technical direction across teams while communicating

Qualifications

• 6+ years of professional software engineering experience, with deep expertise in Python.
• Experience architecting SDKs, client libraries and RESTful APIs (FastAPI, Flask, Django).
• Strong hands-on AWS experience (Lambda, ECS/EKS, API Gateway, S3, DynamoDB) or Azure/GCP.
• Experience building agentic AI applications/frameworks (LangChain, LangGraph, CrewAI, AutoGen).
• LLM integration, prompt engineering and AI orchestration knowledge.
• Cloud-native architecture with microservices and containers (Docker, Kubernetes).
• Strong communication and cross-team influence.

Responsibilities

• Design and build Python-based SDKs, APIs, and backend services
• Design and develop agentic AI applications and frameworks
• Design and deploy cloud-native solutions on AWS, with containerized workloads on Amazon EKS
• Work independently and proactively, taking ownership of deliverables and driving them to completion with minimal oversight
• Partner with stakeholders and AI/ML practitioners to translate requirements into technical solutions, communicating progress and risks early
• Contribute to code reviews and share knowledge with other developers
• Proactively identify, troubleshoot, and resolve issues across applications and cloud environments

Skills

Python

SDKs & APIs design

Agentic AI experience

AWS cloud-native

LLM integration

Docker & Kubernetes

Excellent communication

Tools

FastAPI

Flask

Django

LangChain / LangGraph

CrewAI / AutoGen

Terraform / AWS CDK

Kubernetes

Job description

• Design and build Python-based SDKs, APIs, and backend services
• Design and develop agentic AI applications and frameworks
• Design and deploy cloud-native solutions on AWS, with containerized workloads on Amazon EKS
• Work independently and proactively, taking ownership of deliverables and driving them to completion with minimal oversight
• Partner with stakeholders and AI/ML practitioners to translate requirements into technical solutions, communicating progress and risks early
• Contribute to code reviews and share knowledge with other developers
• Proactively identify, troubleshoot, and resolve issues across applications and cloud environments

Required Skills & Experience:

• 6+ years of professional software engineering experience, with deep expertise in Python
• Proven experience architecting and building SDKs, client libraries, and RESTful APIs (e.g., FastAPI, Flask, Django)
• Strong hands-on experience with AWS (e.g., Lambda, ECS/EKS, API Gateway, S3, DynamoDB) or an equivalent cloud platform such as Azure or GCP
• Practical experience building Agentic AI applications and frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar)
• Working knowledge of LLM integration, prompt engineering, and AI orchestration concepts
• Experience with cloud-native architecture, including microservices and containerization (Docker, Kubernetes)
• Strong communication skills and the ability to influence technical direction across teams

Preferred Skills & Experience:

• Experience with AWS AI services such as Amazon Bedrock or SageMaker
• Familiarity with vector databases (e.g., Pinecone, OpenSearch, pgvector) and RAG architectures
• Experience with Model Context Protocol (MCP), multi-agent systems, or agent-to-agent communication
• Infrastructure-as-code experience with Terraform, AWS CDK, or CloudFormation
• Experience in insurance or financial services environments