Senior AI Software Engineer at Growth Acceleration Partners

Colorado Springs, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, AI Frameworks, Generative AI, Large Language Models, Retrieval-Augmented Generation, Prompt Engineering, AI Safety, Transformers, Embeddings, Vector Databases, Model Deployment, Cloud Services, AI APIs, AI Coding Assistants, Software Development

Industry

IT Services and IT Consulting

Description

WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build, and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is on customer and employee success. GAP is a woman-owned company headquartered in Austin, Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes, and training in the latest technologies, including AI, data analytics, and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for an experienced AI Software Engineer to design, build, and deploy the next generation of intelligent applications by integrating machine learning and generative AI solutions that enhance our products and workflows. In this role, you’ll work at the intersection of software engineering and applied machine learning, collaborating with cross-functional teams to bring intelligent, scalable features to life. The ideal candidate has a strong foundation in software engineering concepts, complemented by a solid understanding of applied ML algorithms, along with hands-on experience integrating AI frameworks, generative models, and AI coding tools into real-world systems. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Professional Experience 5+ years of experience in software development, including at least 2 years in roles focused on building applications that leverage AI, particularly Large Language Models (LLMs). Proven experience designing, building, and deploying software systems with integrated AI capabilities. Strong understanding of the LLM-powered application lifecycle, including prompt engineering, context management, API integration, and monitoring the performance, latency, and cost of AI features in a live environment. Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Adaptable to change and comfortable learning emerging technologies. High standards of code quality, security, and ethical AI practices. Curious and proactive in exploring new tools, including AI assistants and prompt engineering. Required Technical Skills Proficiency in Python. Experience building products using Retrieval-Augmented Generation (RAG) architectures. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers. Proficiency in frameworks for LLM-powered applications development, such as LangChain and LlamaIndex. Deep understanding of transformers and embeddings, and how to use them for semantic search, recommendation, and clustering. Experience with vector databases like Pinecone, Milvus, Chroma, or managed services within cloud platforms for storing and querying embeddings. Experience with prompt engineering and AI safety/ethics. Understanding the trade-offs between different models (e.g., Mistral, Llama, GPT series) in performance, cost, and size. And LLM fi ne-tuning. Experience with model deployment platforms like AWS SageMaker, Google Vertex AI, and Databricks MLflow. Knowledge of AI cloud services such as AWS Bedrock, Kendra, Rekognition, Transcribe, Translate, or their equivalents for Azure and GCP. Familiarity with AI APIs and tools, including OpenAI GPT (3/4), Codex, Gemini, OpenRouter, etc. Use of AI coding assistants (e.g., GitHub Copilot, Tabnine, CodeWhisperer, and Cursor) in daily development workflows. Experience integrating generative AI features (text, code, image) into platforms or services, including agentic solutions. Understanding of machine learning fundamentals: training, inference, classification, regression, clustering, statistics, linear algebra, supervised/unsupervised learning. Nice to Have Familiarity with Java, Go, or R. Knowledge of testing, versioning, and monitoring ML systems. Familiarity with MLOps pipelines, data versioning, and automated documentation using AI. Contributions to open-source ML projects or published work in AI-related areas. Experience with front-end development frameworks (e.g., React, Vue.js) to build user interfaces for AI applications. Key Responsibilities Architect, build, and deploy applications by integrating Large Language Models (LLMs) and other generative AI solutions. Continuously monitor, analyze, and optimize the performance, latency, cost, and output quality of AI features. Partner with product, data science, and engineering teams to translate business goals into technical specifications and deliver impactful AI solutions. Leverage AI agents to assist with tasks such as code review, documentation, and test automation. Ensure secure and ethical implementation of AI technologies. Stay current with emerging trends in AI/ML and proactively introduce innovations. At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

Responsibilities

Architect, build, and deploy applications by integrating Large Language Models (LLMs) and other generative AI solutions. Continuously monitor, analyze, and optimize the performance, latency, cost, and output quality of AI features.