**Secret OR Top Secret Clearance Required**
We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.
You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.
Key Responsibilities
Full Stack Development
Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
Architect and implement RESTful and/or GraphQL APIs
Ensure application performance, scalability, and security across the stack
Database & Data Engineering
Design, develop, and optimize relational and/or NoSQL database systems
Create efficient data models and schemas to support large-scale applications
Develop scripts and pipelines to ingest, transform, and manage data flows
Troubleshoot performance bottlenecks and ensure data integrity
Work with large, complex datasets to enable analytics and AI use cases
Generative AI / LLM Integration
Build, test, and deploy LLM-powered applications and workflows
Integrate Generative AI capabilities into existing platforms and user experiences
Evaluate and assess LLM outputs for performance, accuracy, and usability
Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases
System Design & Architecture
Contribute to the design of scalable, distributed system architectures
Collaborate with engineers to integrate AI components into enterprise environments
Balance tradeoffs between performance, cost, and scalability
Support CI/CD pipelines and DevSecOps best practices for deployment
Client & Mission Support
Translate ambiguous requirements into technical solutions
Help stakeholders understand evolving AI/technology options
Provide guidance on best practices for integrating AI into business workflows
Requirements
Required Qualifications
Strong experience developing Python applications from scratch, including testing and deployment
Hands-on experience with full stack development (front-end + back-end)
Proficiency with database design and management (SQL and/or NoSQL)
Experience with data wrangling, transformation, and scripting for data pipelines
Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
Experience building and consuming APIs
Understanding of software development best practices (version control, testing, CI/CD)
Preferred / Nice-to-Have Qualifications
Experience deploying and managing LLMs locally and in cloud environments
Hands-on experience with fine-tuning models and integrating them into production systems
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
Knowledge of prompt engineering and content filtering techniques
Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
Experience with model distillation and optimization
Exposure to knowledge graphs and graph databases (e.g., Neo4j)
Experience working in cloud environments (AWS, Azure, or GCP)
Benefits
401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
PTO: 20 days per year
Healthcare, dental, vision, Free for a single participant
$50,000 Life insurance provided, additional voluntary life insurance available
InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.
You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.
Key Responsibilities
Full Stack Development
Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
Architect and implement RESTful and/or GraphQL APIs
Ensure application performance, scalability, and security across the stack
Database & Data Engineering
Design, develop, and optimize relational and/or NoSQL database systems
Create efficient data models and schemas to support large-scale applications
Develop scripts and pipelines to ingest, transform, and manage data flows
Troubleshoot performance bottlenecks and ensure data integrity
Work with large, complex datasets to enable analytics and AI use cases
Generative AI / LLM Integration
Build, test, and deploy LLM-powered applications and workflows
Integrate Generative AI capabilities into existing platforms and user experiences
Evaluate and assess LLM outputs for performance, accuracy, and usability
Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases
System Design & Architecture
Contribute to the design of scalable, distributed system architectures
Collaborate with engineers to integrate AI components into enterprise environments
Balance tradeoffs between performance, cost, and scalability
Support CI/CD pipelines and DevSecOps best practices for deployment
Client & Mission Support
Translate ambiguous requirements into technical solutions
Help stakeholders understand evolving AI/technology options
Provide guidance on best practices for integrating AI into business workflows
Requirements
Required Qualifications
Strong experience developing Python applications from scratch, including testing and deployment
Hands-on experience with full stack development (front-end + back-end)
Proficiency with database design and management (SQL and/or NoSQL)
Experience with data wrangling, transformation, and scripting for data pipelines
Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
Experience building and consuming APIs
Understanding of software development best practices (version control, testing, CI/CD)
Preferred / Nice-to-Have Qualifications
Experience deploying and managing LLMs locally and in cloud environments
Hands-on experience with fine-tuning models and integrating them into production systems
Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
Knowledge of prompt engineering and content filtering techniques
Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
Experience with model distillation and optimization
Exposure to knowledge graphs and graph databases (e.g., Neo4j)
Experience working in cloud environments (AWS, Azure, or GCP)
Benefits
401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
PTO: 20 days per year
Healthcare, dental, vision, Free for a single participant
$50,000 Life insurance provided, additional voluntary life insurance available
InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.