Internal LLM Consultant (Technical Advisor) @ Superdevs Remote

Internal LLM Consultant (Technical Advisor) @ Superdevs

Remote

What you bring

• Experience in technical or research-focused role in software or AI/ML environment
• Interest and hands-on familiarity with LLMs or AI technologies
• Ability to understand code and system architecture
• Knowledge of Scala or Java
• Strong analytical thinking and research skills
• Clear communication and ability to work across different teams
• Solid communication skills in English (written and spoken)

Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! At Superdevs, you can spend every day surrounded by smart, talented people working for tech pioneers.

You will be fully integrated into our client’s remote engineering team operations and dynamics.

We’re looking for an Internal LLM Consultant to support the team in researching and integrating Large Language Models (LLMs) into AI-platform. You’ll explore available tools, test APIs, and provide insights and recommendations to help guide our product and engineering decisions.

What makes us a great match for you:

• Challenging projects at product-based companies
• Real impact and independence at work
• Fully remote position Individual career patch
• 100+ smart, curious & ambition engineers
• Make products that matter using the newest technology
• Friendly culture and good work-life balance

Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

,[Research and evaluate LLM capabilities and APIs, Collaborate with product managers and engineers to evaluate technical feasibility and suggest solutions, Stay up to date with trends and developments in the LLM and AI space, Analyze and compare tools, models, and providers to support informed decision-making, Prepare clear documentation and summaries to share findings and recommendations] Requirements: LLM, AI, Scala, Java, System architecture, Analytical skills Tools: . Additionally: Flexible working hours and remote work possibility, Friendly atmosphere, Work-life balance, Real impact and independence at work, Flat structure and small teams, Individual career path.

Kategorie

artificialIntelligence

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