Jobgether

AI Engineer

Remote (India) · Senior · Remote

Recently posted - highest visibilityVerified listingPosted 3h ago

Applicants who checked fit first are 3.1× more likely to hear back

What we know about this role

Hiring pulse

HIGH

Jobgether is actively reviewing profiles and moving candidates through the pipeline right now.

Apply window

First 72 hours

Still inside it - posted 3h ago

Early applicants get seen before the pile builds.

Not a repost

The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

21 listed

Retrieval-Augmented Generation (RAG)Optical Character Recognition (OCR)Large Language Models (LLMs)CI/CDIntelligent SystemsMachine LearningAgentic AIPrompt Engineering+13 more

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer based in India.

This role offers the opportunity to design and deliver intelligent systems that address meaningful business and customer needs.
You will work across machine learning, generative AI, and large language model technologies to build production-ready solutions.
The position combines strong software engineering practices with hands-on AI development, data pipelines, and cloud technologies.
You will collaborate closely with software engineers, product managers, data scientists, and subject-matter experts.
Your work will span the full AI lifecycle, from experimentation and evaluation through deployment, monitoring, and optimization.
You will also help establish responsible AI practices around security, privacy, reliability, and human oversight.
This is an impactful opportunity to contribute to scalable AI products while staying at the forefront of rapidly evolving technologies.

Accountabilities

Design, develop, test, and deploy AI and machine learning applications that solve business and customer problems.
Build generative AI solutions using large language models, retrieval-augmented generation (RAG), AI agents, embeddings, and prompt engineering.
Integrate AI capabilities into existing products, platforms, and business workflows.
Develop data pipelines and supporting services for model training, evaluation, and inference.
Establish evaluation frameworks to assess model accuracy, reliability, safety, latency, and cost.
Monitor AI applications in production and continuously improve their performance, scalability, and reliability.
Implement responsible AI practices covering privacy, security, bias mitigation, and appropriate human oversight.
Document system architecture, technical decisions, experiments, processes, and operational procedures.
Collaborate with software engineers, product managers, data scientists, and subject-matter experts throughout the development lifecycle.
Stay current with developments in AI research, platforms, tools, frameworks, and engineering best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical discipline preferred; equivalent education and experience may be considered.
5+ years of experience in software engineering, machine learning engineering, or a related technical field.
3+ years of professional experience with Python and software development best practices.
3+ years of hands-on experience with generative AI and large language models.
Experience with AWS Bedrock, Amazon SageMaker, Docker, JupyterLab, and AI-powered Optical Character Recognition (OCR).
Familiarity with APIs, cloud platforms, databases, version control, software testing, and CI/CD practices.
Strong understanding of machine learning concepts, data preparation, and model evaluation.
Experience with frameworks such as PyTorch, TensorFlow, LangChain, or comparable technologies is desirable.
Experience with vector databases, retrieval systems, MLOps, model monitoring, and scalable inference is a plus.
Familiarity with Salesforce and MuleSoft is advantageous.
Knowledge of responsible AI, data privacy, and AI security practices is beneficial.
Demonstrated ability to take AI solutions from prototype through production.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
Ability to obtain a medium-level Government Public Trust security background check.

Benefits

Competitive annual salary of $130,000–$135,000 USD.
Comprehensive benefits designed to support health, well-being, and financial security.
Medical, dental, and vision coverage may be available.
Paid time off and company holidays.
Opportunities for professional growth, learning, and development.
Opportunity to work on innovative AI and machine learning solutions in a collaborative environment.
Remote work arrangement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

Keep browsing

All open roles at Jobgether