Senior Developer (Gen AI, Python, AWS, JAVA) Only W2
Job Location:
McLean, MD - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job title: Senior Developer
Client address: 8200 Jones Branch Dr McLean VA 22102
W2 Position
| Name | Required | ||||||||||||||||||||||||||||||
| Python | Yes | ||||||||||||||||||||||||||||||
| GEN AI Testing | Yes | ||||||||||||||||||||||||||||||
| AWS | Yes | ||||||||||||||||||||||||||||||
| Java | Yes | ||||||||||||||||||||||||||||||
| Microservices | Yes | ||||||||||||||||||||||||||||||
| Spring Boot | Yes |
Job Description:
Key Responsibilities
Design and architect end-to-end GenAI solutions using LLMs (OpenAI Azure OpenAI Google Gemini Anthropic Claude etc.)
Lead the implementation of prompt engineering RAG (Retrieval-Augmented Generation) fine-tuning and agentic AI systems
Define AI architecture patterns best practices and governance frameworks
Build scalable pipelines for data ingestion vectorization (embeddings) and semantic search
Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions
Implement and manage AI model deployment on cloud platforms (Azure AWS GCP)
Ensure responsible AI practices including security compliance and bias mitigation
Integrate GenAI solutions with enterprise systems (APIs microservices)
Mentor engineering teams and drive AI adoption roadmap
Monitor solution performance and continuously improve accuracy latency and cost efficiency Technical Skills
Strong experience in Python and familiarity with ML/AI frameworks
Knowledge of containerization (Docker Kubernetes
Experience with REST APIs microservices architecture and system design
Familiarity with DevOps/MLOps practices (CI/CD model monitoring versioning)
Hands-on experience with:
o LLM frameworks: LangChain LlamaIndex Semantic Kernel
o Vector databases: Pinecone FAISS Weaviate Chroma
o Cloud AI services: Azure OpenAI AWS Bedrock Google Vertex AI
Deep understanding of:
o Transformer architectures and NLP concepts
o Prompt engineering and evaluation techniques
o RAG pipelines and embeddings
Years of experience required; 12
Years of Experience: 10.00 Years of Experience
