Senior AIML Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

What success looks like in this role:

Rapidly converting ideas business problems and hypotheses into working demonstrations & PoCs
Designing building and orchestrating Agentic AI systems including autonomous and semi-autonomous agents capable of reasoning planning tool usage and goal execution.
Leading the design and development of Generative AI applications leveraging LLMs embeddings vector databases RAG and multi-agent frameworks.
Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions.
Evaluating selecting and integrating AI frameworks agent orchestration tools and model providers relevant to agentic and generative AI development.
Staying current on LLMs agent architectures reasoning memory and AI best practices.
Learning evaluating and leveraging emerging AI tooling ecosystems including copilots agent builders orchestration platforms and observability tools.
Self-starter working independently as well as collaboratively to deliver high-impact outcomes.
Providing technical leadership guidance and mentorship to junior AI engineers fostering a culture of continuous learning and innovation.
Demonstrating strong ownership of quality reliability security and productivity using efficient development practices reusable components and enterprise standards.

#LI-LS1

You will be successful in this role if you have:

BS/BE Degree with 5-8 years of relevant experience.
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
Solid understanding of Agentic AI concepts including planning reasoning and multi-agent collaboration.
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g. CrewAI).
Proficiency with Azure AI Services including Azure OpenAI Azure AI Doc Intelligence Translator etc
Strong understanding of Azure OpenAI GPT models including capabilities limitations prompt engineering function calling tool use and structured outputs.
Strong programming skills in Python with experience integrating AI services APIs and data pipelines.
Proficiency in back-end development using Python and/or Golang with a focus on API-driven architecture.
Experience with databases such as PostgreSQL and familiarity with vector databases.
Working knowledge of at least one front-end framework such as React or Angular for UI
Hands-on experience with cloud-native development containers and microservices.
Demonstrated experience in cluster using Kubernetes Docker Helm & platforms like Rancher
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.
Cloud certifications (Azure Developer Azure AI Engineer or equivalent) are an added advantage.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age blood type caste citizenship color disability family medical history family status ethnicity gender gender expression gender identity genetic information marital status national origin parental status pregnancy race religion sex sexual orientation transgender status veteran status or any other category protected by law.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.

If you are a US job seeker unable to review the job opportunities herein or cannot otherwise complete your expression of interest without additional assistance and would like to discuss a request for reasonable accommodation please contact our Global Recruiting organization at . US job seekers can find more information about Unisys EEO commitment here.

Required Experience:

Senior IC

What success looks like in this role: Rapidly converting ideas business problems and hypotheses into working demonstrations & PoCsDesigning building and orchestrating Agentic AI systems including autonomous and semi-autonomous agents capable of reasoning planning tool usage and goal execution.Leadin...

What success looks like in this role:

Rapidly converting ideas business problems and hypotheses into working demonstrations & PoCs
Designing building and orchestrating Agentic AI systems including autonomous and semi-autonomous agents capable of reasoning planning tool usage and goal execution.
Leading the design and development of Generative AI applications leveraging LLMs embeddings vector databases RAG and multi-agent frameworks.
Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions.
Evaluating selecting and integrating AI frameworks agent orchestration tools and model providers relevant to agentic and generative AI development.
Staying current on LLMs agent architectures reasoning memory and AI best practices.
Learning evaluating and leveraging emerging AI tooling ecosystems including copilots agent builders orchestration platforms and observability tools.
Self-starter working independently as well as collaboratively to deliver high-impact outcomes.
Providing technical leadership guidance and mentorship to junior AI engineers fostering a culture of continuous learning and innovation.
Demonstrating strong ownership of quality reliability security and productivity using efficient development practices reusable components and enterprise standards.

#LI-LS1

You will be successful in this role if you have:

BS/BE Degree with 5-8 years of relevant experience.
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
Solid understanding of Agentic AI concepts including planning reasoning and multi-agent collaboration.
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g. CrewAI).
Proficiency with Azure AI Services including Azure OpenAI Azure AI Doc Intelligence Translator etc
Strong understanding of Azure OpenAI GPT models including capabilities limitations prompt engineering function calling tool use and structured outputs.
Strong programming skills in Python with experience integrating AI services APIs and data pipelines.
Proficiency in back-end development using Python and/or Golang with a focus on API-driven architecture.
Experience with databases such as PostgreSQL and familiarity with vector databases.
Working knowledge of at least one front-end framework such as React or Angular for UI
Hands-on experience with cloud-native development containers and microservices.
Demonstrated experience in cluster using Kubernetes Docker Helm & platforms like Rancher
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.
Cloud certifications (Azure Developer Azure AI Engineer or equivalent) are an added advantage.

Required Experience:

Senior IC

Key Skills

APIs
C/C++
Computer Graphics
Go
React
Redux
Node.js
AWS
Library Services
Assembly
GraphQL
High Voltage

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About Company

Unisys

Unisys is a global information technology company that specializes in providing industry-focused solutions integrated with leading-edge security to clients in the government, financial services and commercial markets. Unisys offerings include security solutions, advanced data analytic ... View more

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