job title: ai engineer
location: remote
employment type: full-time
about the role:
we are seeking a skilled and motivated ai engineer to help us build intelligent, agentic systems that drive real-world impact. in this role, you will develop, deploy, and maintain ai models and pipelines - working with large language models (llms), vector databases, and orchestration frameworks like langchain. you will collaborate across teams to build robust, scalable ai-driven solutions.
key responsibilities-
- design and develop intelligent systems using llms, retrieval-augmented generation (rag), and agentic frameworks.
- build and deploy ai pipelines using langchain, vector stores, and custom tools.- integrate models with production apis and backend systems.
- monitor, fine-tune, and improve performance of deployed ai systems.- collaborate with data engineers, product managers, and ux designers to deliver ai-first user experiences.
- stay up to date with advancements in generative ai, llms, and orchestration frameworks.
required qualifications
- 2-5 years of experience in building and deploying machine learning or ai-based systems.
- hands-on experience with langchain in building agent workflows or rag pipelines.
- proficiency in python and frameworks such as pytorch, tensorflow, or scikit-learn.
- experience with cloud platforms (aws, gcp, azure) and containerization (docker, kubernetes).
- strong understanding of prompt engineering, embeddings, and vector database operations (e.g., faiss, pinecone, weaviate).
- familiarity with mlops tools such as mlflow, sagemaker, or vertex ai. preferred qualifications
- experience with large language models (e.g., gpt, claude, llama) and genai platforms (e.g., openai, bedrock, anthropic).
- background in nlp, rag architectures, or autonomous agents.
- experience in deploying ai applications via apis and microservices.
- contributions to open-source langchain or genai ecosystems.
why join us?
- remote-first company working on frontier ai systems.
- opportunity to shape production-grade ai experiences used globally.
- dynamic, collaborative, and intellectually curious team.
- competitive compensation with fast growth pot
