IL
Software Engineer
ICONMA, LLC
🇺🇸 United States
On-site
Entry level
1 month ago
$97.74 – $102.74 / hour
- AI
- RAG
- Machine Learning
- PyTorch
- Python
- AI/ML
- OpenAI
- Kotlin
- Microservices
- REST API
- gRPC
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- LangChain
- LlamaIndex
- AutoGen
- CI/CD
- Devops
1 month ago
Responsibilities:
- Design and develop AI agents and autonomous systems capable of complex task execution and decision-making
- Build conversational AI solutions including chatbots and voice-based customer service systems
- Create AI-powered application integrations across platforms and services
- Develop and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI application performance
- Implement and optimize machine learning models using PyTorch
- Evaluate and deploy appropriate LLMs based on specific needs—balancing accuracy, latency, cost, and user experience
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions
- Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
Requirements:
- 6+ years Proficiency in Python for AI/ML development
- 6+ years Experience with PyTorch (or willingness to learn for entry-level candidates)
- Understanding of AI agents and their application to real-world problems
- Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
- Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt engineering
- Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
- Understanding of transformer neural network architecture and attention mechanisms
- 6+ years Experience integrating AI capabilities into applications or eagerness to learn application development
- Proficiency in Kotlin programming
- Full-stack development experience with both backend and frontend technologies
- Cloud software development experience, especially microservices architecture and integration
- Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven architectures
- Knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Experience with AI frameworks like LangChain, LlamaIndex, AutoGen, or similar tools
- Understanding of CI/CD pipelines and DevOps practices
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Software Engineer · ICONMA, LLC