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Senior Developer; Gen AI, Python, AWS, JAVA

Job in McLean, Fairfax County, Virginia, USA
Listing for: Saransh Inc
Full Time position
Listed on 2026-06-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Senior Developer (Gen AI, Python, AWS, JAVA)

Job title:
Senior Developer

Client address: 8200 Jones Branch Dr, McLean, VA 22102
W2 Position

LOCAL CANDIDATES ONLY AS THE CLIENT INTERVIEW IS IN PERSON

Mandatory Skills
  • Gen AI
  • Python
  • AWS
  • Amazon Q
  • Kiro
  • Java
  • Spring Boot
  • Microservice
Required Skills
  • Python – Required
  • GEN AI Testing – Required
  • AWS – Required
  • Java – Required
  • Microservices – Required
  • Spring Boot – Required
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 Dev Ops/MLOps practices (CI/CD, model monitoring, versioning)
  • Hands‑on experience with:
    • LLM frameworks:
      Lang Chain, Llama Index, Semantic Kernel
    • Vector databases:
      Pinecone, FAISS, Weaviate, Chroma
    • Cloud AI services:
      Azure OpenAI, AWS Bedrock, Google Vertex AI
  • Deep understanding of:
    • Transformer architectures and NLP concepts
    • Prompt engineering and evaluation techniques
    • RAG pipelines and embeddings

Years of experience required; 12+

Years of

Experience:

10.00 Years of Experience

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Position Requirements
10+ Years work experience
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