AI Engineer

Haptiq; Województwo mazowieckie; In loco; PLN 239.000 - 282.000; Tempo pieno

Descrizione del lavoro

Haptiq is seeking an innovative AI Engineer to join the AI team and help design, prototype, and operationalize advanced AI systems, including RAG pipelines and agentic workflows. You will collaborate with Python developers and MLOps engineers to bring AI-powered features to production.

Responsibilities include building AI-powered services, training ML models, and optimizing prompts while integrating vector databases like Chroma, FAISS, Pinecone, and Qdrant.

Competenze

• Strong Python development skills with clean, scalable code.
• Hands-on experience with LLMs and agent frameworks.
• Familiarity with RAG architectures and vector search concepts.
• Experience building multi-step agentic workflows.
• Knowledge of AI performance metrics and model monitoring.
• Awareness of latency and explainability challenges.

Mansioni

• Design, prototype, and iterate AI models and RAG pipelines.
• Develop AI-powered services using LangChain, LangGraph, CrewAI, LlamaIndex, and Haystack.
• Train and evaluate ML models for production use cases.
• Perform data preprocessing and feature engineering to boost performance.
• Tune architectures and hyperparameters for target performance.
• Implement validation pipelines and model monitoring in production.

Conoscenze

Python

LLMs

Agent frameworks

RAG pipelines

Model evaluation

Experimentation

System design

Performance metrics

Formazione

BSc in CS or equivalent

Strumenti

LangChain

LangGraph

CrewAI

LlamaIndex

Haystack

Descrizione del lavoro

Haptiq is an AI-native enterprise solutions company helping organizations transform complex data, workflows, and business processes into scalable technology-driven operations.

With headquarters in New York and teams across the US, Canada, Poland, and India, Haptiq combines deep technology expertise, AI capabilities, and enterprise delivery experience to solve complex business challenges for leading companies, financial institutions, governments, asset managers, family offices, and other sophisticated organizations.

Our model combines technology, AI, data, and domain expertise to help clients operate more efficiently, make better decisions, and create measurable business value.

About the Role

We're looking for an innovative AI Engineer to join our AI team and help design, prototype, and operationalize advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic workflows. You'll work closely with Python Developers and MLOps Engineers to bring AI-powered features from concept to production.

Key Responsibilities

• Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning systems.
• Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, and Haystack.
• Design, train, and evaluate machine learning models (supervised, unsupervised, and reinforcement learning) for real-world production use cases.
• Perform data preprocessing, feature engineering, and dataset curation to improve model performance and robustness.
• Experiment with model architectures, hyperparameter tuning, and optimization techniques to achieve performance targets.
• Implement model validation strategies, including cross-validation, A/B testing, and offline/online evaluation pipelines.
• Deploy, monitor, and maintain ML models in production, including handling model drift, retraining, and versioning.
• Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and decision support.
• Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector search workflows.
• Collaborate with Python Developers to define service interfaces, APIs, and operational requirements.
• Implement task decomposition, memory management, and tool-use strategies within agentic systems.
• Monitor AI system performance, operational risks, and prompt evaluation metrics.
• Stay current with emerging AI frameworks, architectures, and best practices in AI observability and evaluation.

Required Skills & Experience

• Strong Python development skills with an emphasis on clean, scalable, and modular code.
• Hands-on experience working with LLMs and agent frameworks.
• Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late interaction), and system design.
• Experience building multi-step agentic workflows and reasoning systems.
• Familiarity with AI performance metrics, model drift detection, and operational monitoring.
• Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
• Experience with prompt optimization tools is a plus.
• A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.
• Strong foundation in machine learning fundamentals, including regression, classification, clustering, and model evaluation techniques.
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn for model development and experimentation.
• Bachelor’s degree in Computer Science or equivalent - preferred.

Why Join Us?

We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher.We do work hard, but we also choose to have fun while doing it.

Compensation: $5,500-6,500 USD/month (B2B contract), depending on experience.