SKILLS REQUIRED

Non-Negotiable Skills:
Generative AI
LLMs
Deep Learning
React/Javascript
Node.js/Python
Problem Solving
Communication skills
Ownership
Seeker Mindset
Passionate Towards Work
Extremely Ambitious
Unbeatable Work Ethics
Ability to comprehend
Negotiable Skills:
Cloud Computing (AWS, GCP, Azure)
MLOps

JOB DESCRIPTION

Department: AI Engineering

Are you ready to pioneer the future of AI-powered applications? Join Techolution as an Associate Fullstack AI Engineer and embark on a thrilling journey at the forefront of innovation. In this role, you’ll design and deploy cutting-edge GenAI applications, leveraging LLMs, NLP, and multimodal AI models. You’ll optimize APIs from industry leaders like OpenAI and Google Gemini, implement advanced techniques such as LoRA and RLHF, and work with vector databases to create efficient RAG solutions. Collaborating with cross-functional teams, you’ll build user-centric AI applications that push the boundaries of what’s possible, all while implementing MLOps best practices in cloud environments. If you’re passionate about shaping the future of AI, this is your chance to make a lasting impact.

• Develop cutting-edge Generative AI and Large Language Models (LLMs) to revolutionize client applications, ensuring seamless integration and optimal performance
• Design and implement robust Deep Learning architectures, transforming complex data into actionable insights for enterprise solutions
• Craft responsive and intuitive user interfaces using React and JavaScript, enhancing user experience and engagement across AI-powered applications
• Architect and build scalable backend systems with Node.js or Python, ensuring efficient data processing and model deployment for AI solutions
• Spearhead end-to-end AI project lifecycles, from conceptualization to deployment, demonstrating strong problem-solving skills and innovative thinking
• Collaborate effectively with cross-functional teams, leveraging excellent communication skills to translate complex AI concepts into understandable insights for stakeholders
• Drive continuous improvement in AI model performance, actively seeking out and implementing cutting-edge techniques and best practices
• Mentor junior team members, fostering a culture of innovation and knowledge sharing within the AI engineering team

• Develop cutting-edge Generative AI and Large Language Models (LLMs) to revolutionize client applications, ensuring seamless integration and optimal performance
• Design and implement robust Deep Learning architectures, transforming complex data into actionable insights for enterprise solutions
• Craft responsive and intuitive user interfaces using React and JavaScript, enhancing user experience and engagement across AI-powered applications
• Architect and build scalable backend systems with Node.js or Python, ensuring efficient data processing and model deployment for AI solutions
• Spearhead end-to-end AI project lifecycles, from conceptualization to deployment, demonstrating strong problem-solving skills and innovative thinking
• Collaborate effectively with cross-functional teams, leveraging excellent communication skills to translate complex AI concepts into understandable insights for stakeholders
• Drive continuous improvement in AI model performance, actively seeking out and implementing cutting-edge techniques and best practices
• Mentor junior team members, fostering a culture of innovation and knowledge sharing within the AI engineering tea