We're looking for an engineer with hands-on experience building and evaluating GenAI services - from RAG and agentic reasoning systems to production-grade LLM deployments. You'll work closely with Frontend and Backend teams to bring AI agents into real products, with a strong focus on reliability, safety, and shipping working prototypes fast.
Hard Skills:
- Practical experience developing and evaluating GenAI services, including RAG systems, understanding of the "ReAct" (Reasoning + Acting) paradigm and Agentic RAG, LLM API integration, and prompt/context engineering, as well as training, fine-tuning, and deploying ML models in production environments.
- Knowledge of ML/GenAI frameworks: LangGraph or LangChain, PyTorch / TensorFlow, Hugging Face, OpenAI/Anthropic SDK.
- Practical commercial experience working with AI models via API (Gemini, Anthropic) and self-hosted models (Llama 3, Mistral, Mixtral), with an understanding of model differences based on functional/non-functional requirements (FR/NFR).
- Deep understanding of how LLMs interact with external APIs via Function Calling.
- Experience with vector databases, semantic search methods, and principles of database structuring and cleaning.
- Practical experience with at least one cloud platform (AWS, GCP, or Azure).
- Proficiency in Python and understanding of asynchronous programming.
- Understanding of the AI model lifecycle: monitoring, versioning, and quality evaluation (RAGAS, DeepEval), with hands-on experience using these tools.
- Experience with Guardrails: setting hard constraints on conversation topics and agent actions, filters that automatically strip personal data before sending requests to external LLMs, and the ability to build output filters that fact-check generated responses before they're displayed.
- Deterministic Logic Integration — running AI agents on strict schemas to prevent the model from "making things up."
- A plus: knowledge of automated testing approaches for evaluating responses across large datasets to measure hallucination rates before MVP launch.
- Knowledge of Human-in-the-loop mechanisms, ensuring agents cannot execute actions without final user verification.
- Ability to design memory systems that store context from a client's previous conversations and operations for personalization (Long-term Memory & User Context).
Soft Skills:
- Ability to clearly communicate complex technical concepts and mentor team members.
- Ability to quickly test and evaluate new libraries and approaches.
- Analytical problem solving - debugging complex "black boxes" and understanding why an agent behaves unpredictably.
- Focus on delivering a working prototype rather than a perfect research paper.
- Close collaboration with Frontend and Backend developers to seamlessly integrate AI agents into the required environment.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Skills Required
- Hands-on experience building and evaluating GenAI services including RAG and agentic reasoning systems
- Practical knowledge of ReAct (Reasoning + Acting) paradigm and Agentic RAG
- LLM API integration and prompt/context engineering
- Experience training, fine-tuning, and deploying ML models to production
- Experience with LangGraph or LangChain
- Experience with PyTorch or TensorFlow
- Experience with Hugging Face
- Familiarity with OpenAI and Anthropic SDKs and working with Gemini/Anthropic APIs
- Experience with self-hosted models (Llama 3, Mistral, Mixtral) and model selection by FR/NFR
- Deep understanding of Function Calling and LLM interactions with external APIs
- Practical experience with vector databases and semantic search methods; database structuring and cleaning
- Practical experience with at least one cloud platform (AWS, GCP, or Azure)
- Proficiency in Python and understanding of asynchronous programming
- Understanding of AI model lifecycle: monitoring, versioning, and quality evaluation (RAGAS, DeepEval)
- Experience implementing Guardrails, data filters, and output fact-checking before display
- Ability to integrate deterministic logic/schemas to prevent hallucinations
- Knowledge of Human-in-the-loop mechanisms to require user verification before agent actions
- Ability to design long-term memory and user context systems for personalization
- Clear communication of complex technical concepts and mentoring team members
- Ability to quickly test and evaluate new libraries and approaches; analytical debugging of agent behavior
- Focus on delivering working prototypes and close collaboration with Frontend and Backend teams
- Knowledge of automated testing approaches for evaluating responses and measuring hallucination rates
What We Do
N-iX is a global software solutions and engineering services company that helps world’s leading organizations turn challenges into lasting business value, operational efficiency, and revenue growth using advanced technology. Whether you need to build a custom solution, modernize your digital product or acquire extra tech expertise - we have the experience and capabilities to ensure your success. With over 2,000 professionals in 25 countries across Europe and the Americas, N-iX offers expert solutions in cloud, data analytics, embedded software, IoT, AI, machine learning, and other tech domains. Being in business for over two decades, we have worked with dozens of industry-leading enterprises and Fortune 500 companies creating value across a wide variety of sectors, including finance, manufacturing, supply chain, retail, e-commerce, healthcare, and more. Our unique combination of business domain expertise and technical know-how enables us to effectively collaborate with ISVs, tech companies, and enterprises of all sizes. Thanks to the strong tech ecosystem and partnerships with AWS, GCP, Microsoft, SAP, OpenText, Snowflake, and others, we bring extra speed, scale and efficiency to more than 160 organizations across the globe. N-iX is recognized by numerous industry awards, such as CRN Solution Provider 500, Global Outsourcing 100 by IAOP, ISG Provider Lens™, Modern Application Development services providers by Forrester, etc
