Software Engineer
Chantilly, VA · On-site
... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience building or ...
Software Engineer
Chantilly, VA · On-site
... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience building or ...
Generative AI Deployment Engineer
Manassas, VA · On-site
$80 - $120/hr
Experience building Retrieval Augmented Generation (RAG) tools on custom datasets * Experience with developing, deploying, and maintaining MCP servers * Interest in optimizing AI agents and LLMs to ...
New
Generative AI Deployment Engineer
Manassas, VA · On-site
$80 - $120/hr
Experience building Retrieval Augmented Generation (RAG) tools on custom datasets * Experience with developing, deploying, and maintaining MCP servers * Interest in optimizing AI agents and LLMs to ...
New
AI Engineer _ GitHub Copilot Agents (Salesforce Development & Testing)
Mclean, VA · On-site
$105K - $130K/yr
RAG (Retrieval-Augmented Generation) and Frameworks like LangChain (or equivalent) • Work closely with Salesforce teams, QA, and architects • Participate in sprint delivery with embedded AI ...
AI Engineer _ GitHub Copilot Agents (Salesforce Development & Testing)
Mclean, VA · On-site
$105K - $130K/yr
RAG (Retrieval-Augmented Generation) and Frameworks like LangChain (or equivalent) • Work closely with Salesforce teams, QA, and architects • Participate in sprint delivery with embedded AI ...
... as retrieval-augmented generation and agentic AI • Familiarity with AI development frameworks and tooling such as LangChain • Ability to engineer solutions that process and extract value from ...
... as retrieval-augmented generation and agentic AI • Familiarity with AI development frameworks and tooling such as LangChain • Ability to engineer solutions that process and extract value from ...
Senior AI Solutions Engineer
$57.50 - $74/hr
Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Familiar with Offensive or Defensive cybersecurity principles ...
Senior AI Solutions Engineer
$57.50 - $74/hr
Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Familiar with Offensive or Defensive cybersecurity principles ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Preferred : • Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI • Familiarity with AI ...
Federal AI Solutions Engineer (Entry Level)
$85K - $105K/yr
Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities. * Support integration of AI solutions with APIs, enterprise systems, and ...
Federal AI Solutions Engineer (Entry Level)
$85K - $105K/yr
Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities. * Support integration of AI solutions with APIs, enterprise systems, and ...
Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Experience with interactive machine learning (eg. active learning ...
Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Experience with interactive machine learning (eg. active learning ...
Engineer
Mclean, VA · On-site
$100K - $120K/yr
... Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems. • Integrate GenAI models into ...
Engineer
Mclean, VA · On-site
$100K - $120K/yr
... Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems. • Integrate GenAI models into ...
Retrieval, grounding & context engineering • Develop end-to-end Retrieval-Augmented Generation ... Professional development From entry-level employees to senior leaders, we believe there's always ...
Retrieval, grounding & context engineering • Develop end-to-end Retrieval-Augmented Generation ... Professional development From entry-level employees to senior leaders, we believe there's always ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Full Stack Developer
Arlington, VA · On-site
Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation * Data Integration: Lead ...
Quick apply
Full Stack Developer
Arlington, VA · On-site
Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation * Data Integration: Lead ...
Full Stack Developer
Arlington, VA · On-site
Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation * Data Integration: Lead ...
Full Stack Developer
Arlington, VA · On-site
Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation * Data Integration: Lead ...
... Retrieval-Augmented Generation (RAG) pipelines REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE: • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience ...
... Retrieval-Augmented Generation (RAG) pipelines REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE: • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience ...
Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual ...
Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual ...
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Job description
Job Summary:
Bespoke Technologies, Inc. is seeking a Software Engineer with expertise in Lean Agile methodologies. The role involves collaborating with a team to design and develop software systems, particularly focusing on cloud environments and integrating LLM-powered capabilities.
Responsibilities:
• Participate in all Lean Agile scrums, sprints and grooming sessions.
• Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
• Work in partnership with an integrated team of staff and contractors.
• Understand the cloud environments, such as AWS or Azure.
• Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
• Design, develop and modify software systems.
• Document and track vendor software roadmaps for software and patch version updates.
• Unit test their software and perform code.
• Design and implement scalable search and retrieval systems leveraging Elasticsearch.
• Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
Qualifications:
Required:
• Demonstrated experience working in Lean Agile Development environment.
• Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.
• Demonstrated experience developing detailed design and associated deliverables.
• Demonstrated experience translating customer and system requirements into design.
• Demonstrated experience designing system interfaces.
• Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3.
• Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).
• Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
• Demonstrated experience with testing platforms such as Jest or Karma.
• Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus.
• Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling).
• Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).
Preferred:
• Demonstrated recent experience with the client’s Lean Agile methodology.
• Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications.
• Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization.
• Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).
Company:
Bespoke Technologies, Inc. Founded in , the company is headquartered in Aldie, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Bespoke Technologies, Inc. is seeking a Software Engineer with expertise in Lean Agile methodologies. The role involves collaborating with a team to design and develop software systems, particularly focusing on cloud environments and integrating LLM-powered capabilities.
Responsibilities:
• Participate in all Lean Agile scrums, sprints and grooming sessions.
• Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
• Work in partnership with an integrated team of staff and contractors.
• Understand the cloud environments, such as AWS or Azure.
• Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
• Design, develop and modify software systems.
• Document and track vendor software roadmaps for software and patch version updates.
• Unit test their software and perform code.
• Design and implement scalable search and retrieval systems leveraging Elasticsearch.
• Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.
Qualifications:
Required:
• Demonstrated experience working in Lean Agile Development environment.
• Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.
• Demonstrated experience developing detailed design and associated deliverables.
• Demonstrated experience translating customer and system requirements into design.
• Demonstrated experience designing system interfaces.
• Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3.
• Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).
• Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
• Demonstrated experience with testing platforms such as Jest or Karma.
• Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus.
• Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling).
• Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).
Preferred:
• Demonstrated recent experience with the client’s Lean Agile methodology.
• Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications.
• Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization.
• Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).
Company:
Bespoke Technologies, Inc. Founded in , the company is headquartered in Aldie, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Bespoke Technologies
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
Alpharetta, GA, US
Year founded
2015