Time since we first saw it
Day 13
Similar jobs usually come down between day 4 and day 77.
At Bayer, jobs usually come down by about day 14.
From 51 similar postings that came down, and 58 of Bayer’s. Coming down is not always a hire.
Hyderabad, Telangana, IN
Actively hiring, first seen by us 13 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and maintain scalable data solutions for research and clinical development
Build data pipelines across relational, NoSQL, scientific and unstructured sources
Develop GenAI and RAG solutions using LLMs, embeddings and vector search
Operationalize analytical models and ML workflows with scientists
Build cloud-native AI and data solutions on AWS or Azure
Design, develop and maintain scalable data solutions supporting research, drug discovery and clinical development.
Design and integrate data pipelines and services across relational, NoSQL, scientific and unstructured data sources.
Develop GenAI and RAG solutions using LLMs, embeddings, vector search and enterprise knowledge sources.
Collaborate with scientists and data scientists to operationalize analytical models, ML solutions and scientific workflows.
Build cloud-native AI and data solutions using AWS or using Azure services.
Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 13
Similar jobs usually come down between day 4 and day 77.
At Bayer, jobs usually come down by about day 14.
From 51 similar postings that came down, and 58 of Bayer’s. Coming down is not always a hire.
20 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.
WHO YOU ARE: * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field with minimum of 12 years of industry experience in software development, with a focus on Cloud technologies. * Strong Python development skills with hands-on experience in FastAPI, Flask, Streamlit and REST APIs. * Strong SQL and database experience with PostgreSQL, PLSQL, along with exposure to NoSQL and vector databases. * Experience building data pipelines and data-intensive applications supporting analytical or data science workloads. * Hands-on experience with GenAI, LLM integration, prompt engineering, structured outputs and function/tool calling. * Experience with RAG, embeddings, semantic search, vector databases and grounding LLMs with enterprise or scientific data. * Experience developing agentic AI solutions using frameworks such as LangGraph, LangChain, Semantic Kernel or equivalent. * Understanding of agentification, including agent orchestration, MCP, state/context management, tool selection and human-in-the-loop workflows. * Hands-on cloud-native development experience on AWS and/or Azure, including serverless, containers, managed databases, storage, API and AI services. * Experience with Amazon Bedrock or Azure AI/OpenAI capabilities for developing enterprise GenAI and agentic solutions is good to have. * Understanding of AI evaluation, observability, groundedness, traceability, guardrails and responsible AI practices. * Familiarity with Agile methodologies and IT life cycle processes. * Experience in the Pharmaceutical domain is a plus. * Demonstrates VACC (Visionary, Catalyst, Architect, Coach) leadership behaviors: * Good self-awareness as well as system awareness. * Pro-actively asks for and gives feedback. * Strives to demonstrate strategic thinking as well as good business and external trends insights. * Focuses on outcomes defines and deliver highest pipeline, team, talent, and organizational impact outcomes. * Collaborates and holds each other accountable in and across teams. * Is close to the customer and co-creates solutions for their needs. * Works in 90-days cycles, applies learnings fast and continually develops. * Is the best self and includes others: respects differences, embraces inclusion and shows up as the best self. Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here
YOUR TASKS AND RESPONSIBILITIES: * Design, develop and maintain user interfaces for our web applications in Pharma research and clinical domains. * Design, develop and maintain scalable data solutions supporting research, drug discovery and clinical development. * Design and integrate data pipelines and services across relational, NoSQL, scientific and unstructured data sources. * Collaborate with scientists and data scientists to operationalize analytical models, ML solutions and scientific workflows. * Develop GenAI and RAG solutions using LLMs, embeddings, vector search and enterprise knowledge sources. * Drive agentification of R&D and data science workflows using AI agents, tool calling, MCP and multi-step orchestration. * Build cloud-native AI and data solutions using AWS or using Azure services. * Implement secure interaction between AI agents and scientific data, APIs, analytical tools and enterprise applications. * Apply human-in-the-loop, guardrails, evaluation and monitoring to ensure AI solutions are reliable, traceable and appropriate for R&D use. * Optimize applications, data pipelines and AI workloads for scalability, performance and cost. * Maintain architecture, data flow, API and solution documentation throughout the development lifecycle. WHO YOU ARE:
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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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Hyderabad, Telangana, IN
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.