Job Summary:
We are seeking a highly motivated AI Engineer with 2–3 years of experience in building and deploying AI-powered applications in real-world production environments. The ideal candidate will have a strong foundation in Python and be hands-on with modern AI agent frameworks like LangChain, LangGraph, and LangSmith. You will work closely with product and engineering teams to design, build, and maintain intelligent systems that can operate reliably at scale.
Key Responsibilities
- Design and implement AI agents and workflows using LangChain, LangGraph, and LangSmith.
- Develop, test, and maintain production-grade code in Python.
- Package and deploy AI solutions using Docker and orchestrate them on AWS
(EC2, Lambda, S3, etc).
- Integrate with Bedrock and other LLM providers to build scalable AI services.
- Collaborate with cross-functional teams to gather requirements, iterate quickly, and deliver robust solutions.
- Write clean, maintainable, and well-documented code.
- Optimize and monitor deployed models and services to ensure high performance and reliability.
- Participate in code reviews, knowledge-sharing, and continuous improvement practices.
Required Qualifications
- 2–3 years of experience as a Software Engineer or AI/ML Engineer, preferably in a production environment.
- Strong proficiency in Python with a focus on clean, modular code.
- Hands-on experience with LangChain, LangGraph, and LangSmith.
- Proven track record of deploying AI applications or services using Docker
and AWS.
- Practical experience with Amazon Bedrock or similar LLM platforms.
- Solid understanding of API integration, prompt engineering, and retrieval-augmented generation (RAG).
- Familiarity with production code workflows including Git, CI/CD pipelines, and logging/monitoring tools.
- Strong problem-solving skills and ability to work independently or in small teams.
Preferred Skills
- Experience working with vector databases (e.g., FAISS, Pinecone).
- Exposure to structured and unstructured data pipelines.
- Familiarity with data privacy, model monitoring, and scaling considerations in production AI.
What We Offer
- Opportunity to work on cutting-edge AI applications in real-world settings.
- Collaborative and innovative work culture.
- Flexibility with remote or hybrid work models.
- Access to AWS and enterprise LLM infrastructure.
- Competitive compensation and growth opportunities.