Gen AI Engineer
Gen AI Engineer
Posted on :
20-12-2024
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1 Vacancy
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Job Description
Title: AI Engineer
Location: Noida India
Description & Requirements
Position Summary
The Senior AI Engineer with GenAI expertise is responsible for developing advanced technical solutions integrating cuttingedge generative AI technologies. This role requires a deep understanding of modern technical and cloudnative practices AI DevOps and machine learning technologies particularly in generative models. You will support a wide range of customers through the Ideation to MVP journey showcasing leadership and decisionmaking abilities while tackling complex challenges.
Key Responsibilities
Technical & Engineering Leadership
Develop solutions leveraging GenAI technologies integrating advanced AI capabilities into cloudnative architectures to enhance system functionality and scalability.
Lead the design and implementation of GenAIdriven applications ensuring seamless integration with microservices and containerbased environments.
Create solutions that fully leverage the capabilities of modern microservice and containerbased environments running in public private and hybrid clouds.
Contribute thought leadership across the Cloud Native domain with an expert understanding of opensource technologies (e.g. Kubernetes/CNCF) and partner technologies.
Collaborate on joint technical projects with partners including Google Microsoft AWS IBM Red Hat Intel Cisco and Dell/VMware.
Service Delivery
Engineer innovative GenAI solutions from ideation to MVP ensuring high performance and reliability within cloudnative frameworks.
Optimize AI models for deployment in cloud environments balancing efficiency and effectiveness to meet client requirements and industry standards.
Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloudnative/12factor characteristics.
Refactor existing solutions to implement a microservicesbased architecture.
Innovation & Initiative
Drive the adoption of cuttingedge GenAI technologies within cloudnative projects spearheading initiatives that push the boundaries of AI integration in cloud services.
Engage in technical innovation and support position as an industry leader.
Author whitepapers blogs and speak at industry events.
Maintain handson technical credibility stay ahead of industry trends and mentor others.
Client Relationships
Provide expert guidance to clients on incorporating GenAI and machine learning into their cloudnative systems ensuring best practices and strategic alignment with business goals.
Conduct workshops and briefings to educate clients on the benefits and applications of GenAI establishing strong trustbased relationships.
Perform a trusted advisor role contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and ontime delivery.
Mandatory Skills & Experience
A passionate developer with experience in Java Python Node.js and Spring programming comfortable working as part of a paired/balanced team.
Extensive experience in software development with significant exposure to AI/ML technologies.
Expertise in GenAI frameworks: Proficient in using GenAI frameworks and libraries such as LangChain OpenAI API Gemini and Hugging Face Transformers.
Prompt engineering: Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance.
Strong understanding of NLP techniques and tools including tokenization embeddings transformers and language models.
Proven experience developing complex solutions that leverage cloudnative technologies featuring containerbased microservicesbased approaches; based on applying 12factor principles to application engineering.
Exemplary verbal and written communication skills (English).
Positive and solutionoriented mindset.
Solid experience delivering Agile and Scrum projects in a Jirabased project management environment.
Proven leadership skills and the ability to inspire and manage teams.
Desired Skills & Experience
Machine Learning Operations (MLOps): Experience in deploying monitoring and maintaining AI models in production environments using MLOps practices.
Data engineering for AI: Skilled in data preprocessing feature engineering and creating pipelines to feed AI models with highquality data.
AI model finetuning: Proficiency in finetuning pretrained models on specific datasets to improve performance for specialized tasks.
AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models.
Knowledgeable about vector databases LLMs and SMLs and integrating with such models.
Proficient with Kubernetes and other cloudnative technologies including experience with commercial Kubernetes distributions (e.g. Red Hat OpenShift VMware Tanzu Google Anthos Azure AKS Amazon EKS Google GKE).
Deep understanding of core practices including DevOps SRE Agile Scrum XP DomainDriven Design and familiarity with the CNCF opensource community.
Recognized with multiple cloud and technical certifications at a professional level ideally including AI/ML specializations from providers like Google Microsoft AWS Linux Foundation IBM or Red Hat.
Verifiable Certification
At least one recognized cloud professional / developer certification (AWS/Google/Microsoft)
domain-driven design,genai frameworks,spring,agile,artificial intelligence,python software foundation,node.js,sre,cloud-native technologies,azure,machine learning,gcp,scrum,devops,ai/ml technologies,java,ai ethics,python,transformer,kubernetes,cd,aws,spring programming,ci,nlp techniques and tools,mlops practices,xp
Employment Type
Full Time
Key Skills
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