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Generative AI Engineer

Role overview

Qualifications

  • 5+ years in software engineering or applied AI with hands-on generative AI development
  • Strong Python programming and experience developing APIs or production application services
  • Hands-on experience with large language model APIs, prompt engineering, and structured model responses
  • Understanding of embeddings, vector search, document retrieval, and retrieval-augmented generation concepts

Responsibilities

  • Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks
  • Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval
  • Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases
  • Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost

Key facts

  • Remote from: Texas (USA), United States
  • Full time
  • Senior (5-10 years)
  • Generative AI Engineer
  • $115K – $165K / year
  • English

Hard skills

Other skills

  • Problem Solving
  • Communication

About the company

Bright Vision Technologies logo

Bright Vision Technologies

  • Staffing & Recruiting
  • Scaleup
  • 11–50
Bright Vision Technologies is a woman owned minority organization founded on July 2020 in New Jersey, USA. Our aim is to provide quality staffing and IT consulting services to our partners. Our deep expertise in strategic staffing and application management turns IT into a strategic asset. We believe that as long as we step into the customers shoes, learn what they want, and deliver it with sincere attention and quality, everything else is going to just fall in place. Our technology expedition is treading fast and continues to grow.

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Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth. 

Job Title: Generative AI Engineer 

Location: Remote 

Position Type: Full-time, Direct W2 - [Not open to C2C or 1099] 

Salary Range: $115,000–$165,000 Annually 

Experience Required: 5+ years  

Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.  

Job Summary 

Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models. The role will implement retrieval-augmented generation, prompt and response workflows, model evaluation, and application integrations while addressing accuracy, latency, cost, observability, and responsible-use requirements. 

Key Responsibilities 

  • Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks. 

  • Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval. 

  • Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases. 

  • Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost. 

  • Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms. 

Required Qualifications 

  • Experience Required: typically 5+ years in software engineering or applied AI, with hands-on generative AI development; align with the approved requisition. 

  • Strong Python programming and experience developing APIs or production application services. 

  • Hands-on experience with large language model APIs, prompt engineering, and structured model responses. 

  • Understanding of embeddings, vector search, document retrieval, and retrieval-augmented generation concepts. 

  • Experience with data processing, API integration, testing, version control, and application deployment practices. 

  • Ability to evaluate model responses and address reliability, latency, cost, and data-quality considerations. 

  • Strong problem-solving and communication skills with attention to responsible AI implementation. 

  • Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment. 

Preferred Qualifications 

  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable orchestration tools. 

  • Familiarity with vector databases, reranking, model evaluation frameworks, and prompt versioning. 

  • Exposure to cloud AI services, containerization, and scalable inference architectures. 

  • Relevant generative AI or cloud AI certification. 

How to Apply 

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. 

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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