What are the responsibilities and job description for the Senior Developer (Gen AI, Python, AWS, JAVA) position at Info Dinamica Inc?
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, Google Cloud Platform)
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