GenAI Engineer

We are seeking a highly motivated and technically skilled GenAI Engineer with a strong focus on Prompt Engineering, LLM Evaluation, and Python-based development. This role plays a central part in enhancing and evaluating our GenAI systems, directly contributing to innovation in AI-powered solutions across the organization.

At Accesa, you’ll be part of a company that is advancing its capabilities in Artificial Intelligence and Generative AI, with dedicated R&D initiatives through AI Labs — an initiative focused on exploring, testing, and validating new AI technologies. By joining Accesa, you’ll work with AI applications already in production, collaborate with two of the largest cloud retailers, and contribute to client-facing AI solutions in a research-driven environment that values experimentation, learning, and innovation. This role also offers the opportunity to pioneer Accesa’s strategic direction in GenAI, helping shape how we design and scale AI capabilities across the organization.

Responsibilities

Prompt Engineering & Enhancement → Design, 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 risk and benefits.

Experimental Feature Development → Conceptualize, prototype, and validate new GenAI features (e.g., tool integration, dynamic content fetching, prompt behavior control) to extend system capabilities, including adapting for on-prem environments.

LLM Evaluation & Tracking → Evaluate new LLM releases, monitor response quality and consistency, and assess relevance for various user tiers.

Knowledge Sharing & Research → Stay up to date with the latest techniques in reasoning, chaining, and context optimization; contribute to AI Labs community discussions and share findings with the Data Science team.

Python Development & Prototyping → Develop prototype and production-level Python code to support AI features, ensuring reliability and maintainability aligned with product requirements.

LLM Integration & Optimization → Build solutions with frameworks like Langchain, implement advanced chatbot capabilities, and contribute to experimental extensions, often within on-prem infrastructures (working with PostgreSQL and related components).

Requirements:

• 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
• Proven experience in prompt engineering and LLM behavior analysis.
• Familiarity with LLM integration frameworks such as Langchain or similar.
• Experience in data curation, preprocessing, and tokenization for LLM training.
• Deep understanding of GenAI systems and their customization potential.
• Ability to translate product requirements into reliable, maintainable code.
• Experience with experimental feature development and technical feasibility evaluation.
• Excellent documentation and communication skills for sharing findings within a collaborative team.
• Hands-on experience working with PostgreSQL or similar relational databases, ensuring effective data handling and integration within AI-driven applications.

Nice to have:

• Experience with distributed training
• Experience with MLOps for LLMs

At Accesa you can:

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

• Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
• Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
• Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
• Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.