AI Engineer - Techstra Solutions

AI Engineer

Location: Hybrid / Onsite (Preferred)

Position Type: Full-Time / Entry-Level

Role Summary

We are seeking an AI Engineer who is passionate about artificial intelligence and eager to launch their career building innovative AI solutions. This is an excellent opportunity for a recent master's graduate who has a strong technical foundation, enjoys solving complex problems, and is excited to learn from experienced engineers in a collaborative environment.

The ideal candidate is intellectually curious, highly motivated, and thrives as part of a team. In this role, you will work alongside data scientists, software engineers, and business stakeholders to develop, test, and deploy AI-powered applications that solve real-world business challenges.

Key Responsibilities

• Model & Solution Development: Assist in the design, development, testing, and deployment of AI and machine learning solutions, building and evaluating models using both structured and unstructured data.
• GenAI & LLM Integration: Develop applications leveraging Large Language Models (LLMs) and Generative AI technologies, creating effective prompts, evaluating model outputs, and continuously improving AI application performance.
• RAG & Agent Support: Support the engineering architectures and emerging AI agent framework solutions.
• Data Preparation & Engineering: Prepare, clean, format, and analyze complex datasets required for model training, validation, and evaluation.
• Cross-Functional Collaboration: Partner closely with senior engineers to integrate AI capabilities into enterprise applications and participate in standard Agile ceremonies (sprint planning, daily standups, retrospectives, and peer code reviews).

Required Qualifications

• Education: Master's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative technical discipline.
• Core Technical Foundation: Strong understanding of foundational machine learning concepts and core AI principles.
• Framework Knowledge: Familiarity with libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or similar tooling.
• GenAI & LLM Familiarity: Conceptual and practical understanding of Large Language Models, prompt engineering, and Generative AI paradigms.
• Software Engineering Principles: Knowledge of REST APIs, modular code design, and version control systems (Git).

Preferred Qualifications

• Academic thesis work, capstone projects, or personal repositories involving LLMs, AI agents, RAG, or Generative AI.
• Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Hands-on experience using vector databases (e.g., Azure AI Search, Pinecone, pgvector) or embedding models.
• Working knowledge of SQL and foundational data engineering concepts.
• Knowledge / working experience with Claude, Microsoft Enterprise Ai Stack

About Techstra Solutions

Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com