Accesa
Tech / AI / Software
SeniorGenAIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior GenAI Engineer at Accesa. Skills: GenAI, LLM, Prompt Engineering, RAG Systems, Vector Databases, Python. Design, secure, extend, and customize system prompts. evaluate the impact of prompt changes and continuously improve LLM usage scenarios”
What You'll Achieve.
enable businesses to grow; delivering value for our clients, partners, industry, and community; ensure streamlined processes and heightened security; maintain leadership in financial technology; ensure scalable and cost-effective LLM interactions; ensure safe and compliant AI behavior in enterprise environments; ensuring proper integration into existing systems and workflows; ensure visibility into system performance, usage patterns, and failures; ensuring reliability and maintainability aligned with product requirements
Industry & Context.
problem-solving through technology; problem-solving
German language skills (B2 level or higher) required
What They're Looking For.
Must Have
German language skills (B2 level or higher) required, 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn), Proven experience in prompt engineering and LLM behavior analysis, Extensive hands-on experience with LLM integration frameworks such as LangChain or similar, Experience designing retrieval pipelines, including chunking, embedding generation, and ranking strategies, Hands-on experience with vector databases (PG Vector, FAISS, Pinecone, Weaviate, etc.), understanding of embeddings and semantic search, Experience with context window optimization, memory strategies, and token efficiency techniques, Experience implementing prompt injection protection, output filtering, and policy enforcement mechanisms, Experience building and exposing APIs for AI systems, Experience with serving LLM applications, including scaling and latency optimization, Familiarity with deployment in cloud and/or on-premise environments, Experience with logging, monitoring, and system observability, Experience building automated evaluation pipelines for LLM systems
Nice to Have
Experience with Java or modern backend frameworks (e.g., Spring) for enterprise system integration, Experience with frontend frameworks (e.g., Angular) for building or integrating AI-driven user interfaces, Familiarity with LLM observability tools or advanced evaluation frameworks, Experience with real-time or streaming inference systems
What You'll Do.
and customize system prompts
evaluate the impact of prompt changes and continuously improve LLM usage scenarios
analyzing risks and benefits
Design and optimize retrieval pipelines
Build and maintain solutions using vector databases
Implement advanced context window optimization
and token efficiency techniques
Evaluate new LLM releases
monitor response quality and consistency
build automated evaluation pipelines to assess performance across use cases
Design and implement prompt injection protection
and policy enforcement mechanisms
Develop and expose AI capabilities via scalable APIs
ensuring proper integration into existing systems and workflows
Design and manage serving layers for LLM applications
addressing scaling strategies
latency considerations
and alerting mechanisms
Develop prototype and production-level Python code to support AI features
Stay up to date with the latest techniques in reasoning
contribute to AI Labs community discussions and share findings
How You'll Work.
Team & Collaboration
Coming together in tech teams with a customer-centric approach; contribute to AI Labs community discussions and share findings with the Data Science team
Communication Scope
Knowledge Sharing & Research; share findings with the Data Science team
Full Job Description
Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth. A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions. With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community. One of our clients operates prominently in the financial sector, where we enhance operations across their extensive network of 150,000 workstations and support a workforce of 4,500 employees. Our IT solutions ensure streamlined processes and heightened security, enabling them to maintain leadership in financial technology. Responsibilities Prompt Engineering & Enhancement : Design, secure, extend, and customize system prompts (e.g., chat history, instructions, rules); evaluate the impact of prompt changes and continuously improve LLM usage scenarios while analyzing risks and benefits. RAG Systems Development: Design and optimize retrieval pipelines, including document chunking, embedding generation, and ranking strategies. Build and maintain solutions using vector databases (e.g., FAISS, Weaviate, Pinecone) or Postgres with pgvector, to enable accurate and context-aware responses. Context Management & Optimization: Implement advanced context window optimization, memory strategies, and token efficiency techniques to ensure scalable and cost-effective LLM interactions. LLM Evaluation, Monitoring & Tracking: Evaluate new
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