Semantic Ai Jobs in Reston, VA (NOW HIRING)

Title: Gen AI
Location: Washington, DC
Duration: Long-Term Contract
Experience: 8–15 Years
Employment Type: Contract

Job Summary:

Coforge is seeking an experienced in Generative AI with 8+ years of software engineering experience and strong expertise in designing, developing, and deploying enterprise-grade GenAI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI services. The role involves building scalable AI applications, integrating LLMs into enterprise systems, and collaborating with cross-functional teams to deliver innovative AI-powered solutions across multiple industries.

Required Skills:

·         8+ years of Software Development experience

·         2+ years of hands-on experience with Generative AI technologies

·         Strong proficiency in Python

·         Experience with Large Language Models (LLMs) including GPT, Claude, Gemini, Llama, or Mistral

·         Hands-on experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel

·         Experience building RAG (Retrieval-Augmented Generation) solutions

·         Strong knowledge of Prompt Engineering and prompt optimization

·         Experience developing AI Agents and multi-agent workflows

·         Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus

·         Experience integrating AI models through REST APIs

·         Strong understanding of embeddings, tokenization, and semantic search

·         Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or OpenAI APIs

·         Experience with Docker and Kubernetes

·         Familiarity with CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins

·         Experience with Git, GitHub, or Bitbucket

·         Experience working in Agile/Scrum environments

·         Strong analytical and problem-solving skills

Preferred Skills

·         Azure AI Foundry / Azure AI Studio

·         AWS Bedrock

·         Google Vertex AI

·         Hugging Face Transformers

·         TensorFlow or PyTorch

·         Knowledge Graphs

·         Neo4j

·         Redis

·         Kafka

·         MLflow

·         Databricks

·         FastAPI

·         Streamlit or Gradio

·         MCP (Model Context Protocol)

·         A2A (Agent-to-Agent)

·         AI Observability tools

·         Prompt Flow

·         AI Security and Responsible AI

·         Experience in Banking, Healthcare, Insurance, Retail, or Manufacturing domains

Responsibilities:

·         Design, develop, and deploy enterprise-grade Generative AI applications.

·         Build intelligent AI assistants, copilots, chatbots, and automation solutions.

·         Develop scalable RAG pipelines using vector databases and enterprise data sources.

·         Build AI Agents and orchestrate multi-agent workflows.

·         Integrate LLMs with enterprise applications and APIs.

·         Optimize prompts, retrieval pipelines, and model performance.

·         Develop secure, scalable, and production-ready AI solutions.

·         Collaborate with Product Owners, Architects, Data Scientists, and Engineering teams.

·         Implement monitoring, logging, evaluation, and governance for AI applications.

·         Participate in architecture discussions, code reviews, and technical design sessions.

·         Troubleshoot production issues and continuously improve AI solution performance.

·         Follow software engineering best practices, DevOps processes, and Agile methodologies.

Qualifications

·         Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

·         8–15 years of software engineering experience.

·         2+ years of hands-on Generative AI development experience.

·         Strong communication and stakeholder management skills.

·         Ability to work independently and within distributed Agile teams. Top of Form

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