
AI Solutions Developer
7 days ago
We are seeking a skilled AI Engineer to design, develop and deploy cutting-edge intelligent agent solutions. The ideal candidate will have expertise in Python, Large Language Models (LLMs), Agentic AI frameworks and cloud infrastructure, with the ability to build scalable multi-agent workflows and optimize autonomous systems for performance and reliability.
- Main Responsibilities:
- Design and develop Agentic AI solutions using frameworks such as Autogen, CrewAI or LangGraph.
- Build pipelines and workflows for LLM-based agent orchestration.
- Integrate third-party APIs, tools and services to enable autonomous agent behavior.
- Deploy, manage and scale AI-driven solutions on AWS.
- Collaborate with ML Engineers, Data Scientists and Product teams to build production-ready solutions.
- Optimize agents for robustness, efficiency and performance.
- Conduct code reviews and maintain high standards in Python development practices.
Required Skills & Qualifications:
- Strong proficiency in Python with experience in asynchronous programming.
- Hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker).
- Practical expertise in at least one Agentic AI framework: Autogen, CrewAI or LangGraph.
- Familiarity with LLMs (OpenAI, Claude, Mistral) and prompt engineering techniques.
- Experience in multi-agent workflows and agent state management.
- Exposure to FastAPI or Flask for AI service deployment.
Good to Have (Preferred Skills):
- Knowledge of LangChain, RAG architectures and vector databases (Pinecone, FAISS, Weaviate).
- Experience with CI/CD pipelines (GitHub Actions, Jenkins).
- Containerization using Docker and orchestration with Kubernetes.
- Understanding of Reinforcement Learning or agent-based simulation.
Education:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or related fields.
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