AI Engineer at Version 1 Accelerate

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Engineering, Python Programming, LLM Frameworks, Frontend Development, Cloud AI Services, Creative Problem-Solving, Collaboration, Client-Facing Experience

Industry

IT Services and IT Consulting

Description

Company Description Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description We are looking for a motivated AI Engineer with solid AWS engineering experience, ideally with exposure to Amazon SageMaker, and a strong comfort level working with data. This role involves developing LLM-based solutions and integrating them into scalable cloud environments. The ideal candidate will be curious, proactive, and capable of creative problem-solving in a collaborative setting. Responsibilities: Design and implement AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, and S3. Build and optimize LLM-based applications, including Prompt engineering, Retrieval-Augmented Generation (RAG), Embeddings, OCR pipelines. Develop and maintain Python-based APIs and workflows using frameworks like LangChain and LlamaIndex. Collaborate with frontend teams to integrate AI capabilities into user-facing applications. Work closely with the Version 1 team and client stakeholders to deliver client-facing solutions. Proactively seek support and knowledge from the wider team to overcome challenges and improve outcomes. Required Skills: Solid experience with AWS engineering and cloud-native development. Proficiency in Python programming, especially for AI/ML applications. Familiarity with LLM frameworks and tools (LangChain, LlamaIndex). Experience in frontend development (React, Angular, or similar). Good understanding Cloud AI services and supporting infrastructure. Strong verbal and written communication skills; client-facing experience is ideal. Nice to Have: Background in Machine Learning or hands-on experience with ML model development. Experience with OCR technologies and document processing. Exposure to ML Ops and model deployment pipelines. Qualifications Qualifications and Experience: Bachelor’s or master’s degree in computer science, Engineering, or related field. Minimum 3+ years of experience in AI/ML or cloud engineering roles. Must have a decent level of project experience. Demonstrates natural curiosity, is open-minded, and does not rely on task-by-task direction. Capable of creative problem-solving and proactive collaboration. Comfortable working in a fast-paced, client-facing environment with international teams. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

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Responsibilities

The AI Engineer will design and implement AI/ML solutions using AWS services and build LLM-based applications. They will collaborate with frontend teams and client stakeholders to deliver effective client-facing solutions.