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Gen Ai Software Developer Jobs in Lebanon, NH (NOW HIRING)

Salesforce Solution Architect

Hanover, NH · On-site

$63 - $82.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in a Computer Science, Information Systems, or Software Engineering field ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Solution Architect - VP

Hanover, NH · On-site

$170 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Applied AI experience such as extraction, summarization, semantic search, workflow assistance ... with modern software engineering practices and automated delivery tooling. This includes ...

Gen Ai Software Developer information

See Lebanon, NH salary details

$53.8K

$125.3K

$186K

How much do gen ai software developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for gen ai software developer in Lebanon, NH is $125,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $145,700.00 per year, depending on experience, location, and employer.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What cities near Lebanon, NH are hiring for Gen Ai Software Developer jobs? Cities near Lebanon, NH with the most Gen Ai Software Developer job openings:

Full-time

Re-posted 8 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description


Varen, an SAIC Company is seeking an AI Engineer - SETA to join our team. This position is located in Columbia, MD and requires a TS/SCI with polygraph.
The AI Engineer - SETA wil provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure.
The right candidate is a builder at heart-someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.
Key Responsibilities:
  • Provide SETA support to government teams developing or assessing AI-enabled applications and tools.
  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.
  • Support the review of architectures, development approaches, model usage patterns, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.
  • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.
  • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
  • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
  • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.
  • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.

Qualifications
  • Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience.
  • Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
  • Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows.
  • Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
  • Experience with software development fundamentals, APIs, data handling, and system integration.
    Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
  • TS/SCI with Poly required.

Desired, but not required:
  • Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
  • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
  • Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
    Understanding of secure AI development practices, data protection, and operational constraints in government settings.
  • Experience supporting defense, cyber, intelligence, or mission application development.
  • Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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