AI Engineer / AI Agent Developer
Description
We are hiring an AI Engineer / AI Agent Developer on behalf of our client. This role involves designing and building intelligent AI agents and LLM-powered applications that can reason, use tools, and automate real business workflows. It's a great opportunity for someone passionate about the future of AI who enjoys building autonomous systems and turning ideas into working products.
Role & responsibilities
- Design, build, and deploy AI agents and multi-agent systems that automate complex tasks
- Develop applications using LLMs (GPT, Claude, Llama, Gemini, etc.) and their APIs
- Build RAG (Retrieval-Augmented Generation) pipelines with vector databases and embeddings
- Implement tool calling, function calling, and workflow orchestration for agents
- Use agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen
- Apply prompt engineering techniques to improve agent accuracy, reliability, and safety
- Integrate agents with external APIs, databases, and business tools (CRM, Slack, email, etc.)
- Build chatbots, copilots, and process automation solutions
- Evaluate and monitor agent performance, latency, cost, and hallucination rates
- Implement guardrails, memory, and context management for production agents
- Deploy AI applications on cloud platforms using APIs and microservices
- Collaborate with product, engineering, and data teams to define AI use cases
- Stay updated on the latest AI research, agent frameworks, and tools
Preferred candidate profile
- Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field
- 0 to 2 years of experience in AI/ML, software development, or related role (internships and projects count)
- Strong programming skills in Python (JavaScript/TypeScript is a plus)
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini, Hugging Face)
- Good understanding of prompt engineering, RAG, and embeddings
- Knowledge of REST APIs, JSON, and backend development (FastAPI, Flask)
- Basic understanding of machine learning and NLP concepts
- Strong problem-solving and analytical skills
- Good communication skills and eagerness to learn
Skills
- Agentic AI
- AI
- Anthropic
- API
- AutoGen
- Automation
- Cloud
- CrewAI
- CRM
- Data Science
- Embeddings
- FastAPI
- Flask
- Gemini
- Hugging Face
- JavaScript
- JSON
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- Microservices
- NLP
- OpenAI
- Prompt Engineering
- Python
- RAG
- REST
- Slack
- TypeScript
- Vector Databases
- Workflow Orchestration
