Backend Developer (AI/ML) – Agentic LLM Systems
Full time - Paid
What You'll Do
AI/ML Development (60% of role)
- Build Multi-Agent Systems: Develop agent ecosystems with error-recovery, memory, and tool integration using LangChain, AutoGen, and LlamaIndex
- Enhance LLM Pipelines: Create multimodal LLM solutions integrating vision, audio, and structured data inputs
- Develop RAG Systems: Contribute to Graph-RAG, Agentic-RAG architectures and optimize vector databases (FAISS, Milvus)
- Agent Framework Integration: Work with Langraph, Langflow, and AgentSpace for rapid agent development
Backend Development (40% of role)
- API Development: Build robust REST APIs using FastAPI to serve ML models and agent workflows
- Frontend Integration: Develop responsive web interfaces using Next.js, TypeScript, and modern JavaScript
- Infrastructure & Deployment: Containerize applications with Docker and deploy using Kubernetes
- System Integration: Connect AI/ML services with databases, external APIs, and microservices architecture
- Performance Optimization: Ensure scalable, high-performance backend systems for real-time AI applications
Who We Are
Steps AI is a cutting-edge AI company redefining how enterprises retrieve and act on data through autonomous, agent-powered workflows. Our platform leverages the latest in multi-agent orchestration, RAG, and generative AI to deliver real-time, contextual insights. As we scale our product suite, we're seeking an experienced AI/ML engineer to lead the design and delivery of next-generation agentic LLM solutions.
Collaborative Growth
- Work closely with senior engineers on system design, code reviews, and architectural decisions
- Participate in full-stack development cycles from ML research to production deployment
Required Qualifications
Core Requirements
- Education: Recent graduate (BS/MS) in Computer Science, AI/ML, Software Engineering, or related field with strong academic performance
- Technical Assessment: We evaluate both AI/ML problem-solving skills AND backend development capabilities through coding challenges and system design
AI/ML Expertise (60% focus)
- LLM Experience: Hands-on experience with transformer architectures (GPT, BERT, T5) and multimodal models through projects or coursework
- ML Frameworks: Proficiency with PyTorch/TensorFlow and AI frameworks like LangChain, Hugging Face, llamaindex, or AutoGen
- RAG & Agents: Experience building retrieval-augmented generation systems or multi-agent workflows (academic/personal projects welcome)
- Python for AI: Strong Python programming with focus on ML/AI libraries and data processing
Backend Development Expertise (40% focus)
- API Development: Experience with FastAPI, REST API design, and backend service architecture
- Frontend Skills: Proficiency in JavaScript, TypeScript, and Next.js for building modern web applications
- DevOps & Deployment: Hands-on experience with Docker containerization and basic Kubernetes knowledge
- Database & Integration: Understanding of databases, microservices, and API integration patterns
- Full-Stack Mindset: Ability to work across the entire stack from ML models to user interfaces
General Skills
- Problem Solving: Strong analytical and debugging skills across both AI/ML and software development domains
- Cloud Platforms: Familiarity with AWS/Azure/GCP and deployment practices
- Version Control: Proficient with Git and collaborative development workflows
- Communication: Clear technical communication and ability to work in cross-functional teams
Preferred Qualifications
- Open Source Contributions: Projects in AI/ML repositories or full-stack applications on GitHub
- Internship Experience: Backend development, AI/ML engineering, or full-stack roles at tech companies
- Advanced AI Skills: Familiarity with prompt engineering, LLM fine-tuning, or multimodal AI research
- Modern Web Development: Experience with React ecosystem, state management, and modern JavaScript patterns
- Production Experience: Involvement in deploying ML models or web applications to production environments
What We Offer
- Competitive Package: Entry-level salary and equity with clear growth trajectory in both AI/ML and backend development
- Dual Mentorship: Learn from senior AI engineers AND experienced backend developers
- Comprehensive Learning: Budget for AI/ML conferences, web development courses, and technical certifications
- Modern Tech Stack: Work with cutting-edge AI models alongside modern web technologies
- Full-Stack Growth: Opportunity to become a versatile engineer spanning ML research to production systems
- Remote Flexibility: Fully remote work environment with collaborative team culture
Join Steps AI and build your career as a hybrid AI/ML and backend engineer, creating the intelligent systems that will power tomorrow's enterprise solutions.
