Job Title:ย AI Developer / AI Engineer
Remote (DMV)
Duration:ย 5 Years
Clearance:ย Public Trust
Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions. The role involves building intelligent systems, integrating AI into enterprise applications, and optimizing model performance in production environments.
Key Responsibilities:
- Design and develop AI/ML and Generative AI solutions
- Build and implementย RAG (Retrieval-Augmented Generation)ย pipelines
- Developย semantic search systemsย using embeddings and vector databases
- Integrateย LLMs (OpenAI, Anthropic, etc.)ย into applications
- Build scalableย ML pipelinesย for training and deployment
- Developย APIs and microservicesย (FastAPI, Flask, etc.)
- Perform data preprocessing, feature engineering, and model evaluation
- Deploy solutions onย AWS/Azure/GCP cloud platforms
- Implementย MLOps practicesย (CI/CD, monitoring, model versioning)
- Collaborate with cross-functional teams
Required Skills:
- Strong programming skills inย Python
- Experience withย machine learning frameworksย (PyTorch, TensorFlow, scikit-learn)
- Hands-on experience withย Generative AI / LLMsย (LangChain, OpenAI APIs)
- Understanding ofย NLP, embeddings, vector search, and RAG
- Experience withย databasesย (SQL/NoSQL, PostgreSQL, Redis, etc.)
- Experience withย API developmentย and backend systems
- Familiarity withย Docker, Kubernetes
- Experience withย cloud platformsย (AWS/Azure/GCP)
Preferred Qualifications:
- Experience withย LLM fine-tuning or embedding optimization
- Knowledge ofย evaluation metricsย (Precision@K, MRR, nDCG)
- Experience withย Airflow, Kafka, or Spark
- Exposure toย React/Next.jsย or frontend technologies
- Experience in Agile environments
Key Technologies:
Python | PyTorch | TensorFlow | LangChain | OpenAI | RAG | FAISS | Pinecone | PostgreSQL | Redis | FastAPI | AWS | Azure | Docker | Kubernetes