Time since we first saw it
Day 37
Similar jobs usually come down between day 4 and day 77.
At GE Vernova, jobs usually come down by about day 25.
From 51 similar postings that came down, and 53 of GE Vernova’s. Coming down is not always a hire.
Bengaluru
Live, first seen by us 37 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build RAG and multimodal LLM features
Ship resilient REST APIs and microservices
Design agentic workflows for autonomous tasks
Identify and deliver reusable AI components for forward-deployed engineers
Mentor engineers and guide contractors and partners
Build RAG and multimodal LLM features.
Ship resilient REST APIs and microservices.
Design agentic workflows for autonomous tasks.
Identify and deliver reusable AI components for forward-deployed engineers.
Mentor engineers and provide guidance to contractors and partners.
Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
Good communication skills and prior experience of working with globally distributed teams
10+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript.
Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
Demonstrated experience of driving at least 5 projects with strong AI & ML engagement
Strong experience with cloud platforms (AWS or Azure) and advanced containerization (Docker, Kubernetes).
Experience in AI/ML, including architectural design, technical leadership, and system optimization.
Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) and advanced state management.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex).
Required Qualifications: - Bachelor’s degree in computer science, Computer Engineering, or a related technical field. - 10+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript.
- Experience in AI/ML, including architectural design, technical leadership, and system optimization. - Having a master's degree or equivalent in AI is a plus. - Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) and advanced state management.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 37
Similar jobs usually come down between day 4 and day 77.
At GE Vernova, jobs usually come down by about day 25.
From 51 similar postings that came down, and 53 of GE Vernova’s. Coming down is not always a hire.
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bachelor’s degree in computer science, Computer Engineering, or a related technical field. - 10+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript. - Proven track record shipping production applications that incorporate LLMs or AI services at scale.
- Demonstrated experience of driving at least 5 projects with strong AI & ML engagement - Strong experience with cloud platforms (AWS or Azure) and advanced containerization (Docker, Kubernetes). - Experience with technical oversight, code review processes, and quality assurance methodologies.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
Relocation Assistance Provided: Yes
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Bengaluru
Working pattern and location restrictions need checking in the full posting.
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