AI Software Engineer

About Us

AloTech/Call Center Studio is the world’s first contact center software built entirely on Google. We offer clients a 360 digital transformation, bridging the gap between contact centers and cutting edge communication technologies, freeing contact center agents from their cubicles.

We take pride in being one of the best B2B SaaS providers and are now looking to expand our team.

How We Work

We love our community, so we make sure that we have plenty of events where we get together and catch up!

We empower ownership and proactivity and, whenever in doubt, to take action and initiative instead of waiting along.

Position Overview

We are looking for a versatile and forward-thinking AI Software Engineer with strong proficiency in Python, Frontier LLMs, Context Engineering, and Core NLP techniques. In this role, you will design, develop, and optimize cutting-edge AI and speech solutions tailored for our cloud contact center platform. You will work across the full data science lifecycle—from speech pipelines (ASR & Diarization) to advanced agentic workflows and backend API development. You’ll collaborate closely with our team to build scalable, low-latency, and intelligent systems that redefine the future of customer communication.

Key Responsibilities

• Design, develop, and maintain robust context engineering solutions, including prompt design, Retrieval-Augmented Generation (RAG), tool calling, native structured outputs, and agentic workflows.
• Build and implement core speech pipelines, handling automated transcription, speaker diarization, word-level timestamps, turn-based chunking, NER, and noise suppression.
• Manage the full data science lifecycle, ensuring data quality, conducting Exploratory Data Analysis (EDA), benchmarking models, and setting up production monitoring.
• Develop lightweight, concurrent, and high-performance Python RESTful web services (FastAPI/Flask) to serve AI features.
• Implement semantic similarity operations using Vector Search systems and embedding distance metrics.
• Apply core NLP techniques such as text regularization, lemmatization, fuzzy logic, and sequence matching to refine textual data.
• Package and deploy applications using Docker, maintaining best practices for containerization within Unix/Linux environments.
• Maintain clear, comprehensive documentation of AI architectures, pipeline schemas, and model evaluation strategies.
• Adhere to data privacy and security protocols, ensuring all AI implementations comply with organizational policies.

Qualifications

Must Have:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• 1-3 years of professional experience in AI engineering, Data Science, or a related technical function.
• Strong proficiency in Python programming, core data structures, and SQL for querying complex relational schemas.
• Hands-on experience working with Frontier LLM Providers (e.g., OpenAI, Gemini, Anthropic) and Model Context Protocol (MCP).
• Practical comfort developing, navigating, and troubleshooting within Unix/Linux environments.
• Robust experience managing source code through version control systems (Git).

Nice to Have:

• Familiarity with high-traffic infrastructures, event-driven distributed systems, and cloud ecosystems (e.g., GCP Pub/Sub, Cloud Tasks with retry mechanisms).
• Exposure to optimizing or fine-tuning models locally or via open-source tools (HuggingFace, Unsloth for Whisper, or lightweight LLMs like Gemma).
• Experience with low-latency, real-time LLM features including streaming completions, WebSockets, and connectivity protocols like WebRTC.
• Baseline knowledge of statistical learning, traditional Machine Learning workflows, and core libraries (NumPy, Pandas, Scikit-Learn, etc.).
• Basic programmatic audio signal processing skills (Pydub, NumPy array signals).
• Ability to quickly spin up MVPs and Proof-of-Concept interfaces using Streamlit, Gradio, or front-end frameworks (JS/React).
• Experience building tailored ETL/ELT data workflows specifically for call center analytics or telephony operations.

Soft Skills

• Strong analytical and problem-solving abilities with a result-oriented approach.
• Foundational project management skills and a highly structured way of working.
• Excellent written and verbal communication skills in English.
• Collaborative, team-oriented mindset with a natural tendency to take initiative.
• Continuous growth mindset—highly passionate, curious, and explicitly eager to learn new architectures and frameworks.

What We Offer:

• The equipment and tools you need to excel in your profession.
• Health insurance.
• Meal Card.
• A dedicated training allowance to support your professional development.
• IKEA gift card.
• A flexible hybrid work model.(İstanbul Based)