More jobs:
Job Description & How to Apply Below
We are seeking a highly skilled Generative AI Engineer to lead the design, development, and deployment of cutting-edge LLM-powered systems . You will own end-to-end RAG pipelines, build autonomous multi-agent systems , and leverage state-of-the-art models (with a strong preference for Google Gemini Enterprise and Google ADK) to deliver high-impact, scalable AI solutions. This role requires deep technical expertise combined with strong problem-solving, system design, and cross-functional collaboration skills to drive measurable business outcomes.
Designation:
Generative AI Engineer
Location:
Hyderabad, India
Employment Type:
Full Time
Key Responsibilities:
Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines , taking full ownership from architecture to production deployment , optimization, monitoring, and scaling for reliability, efficiency, and business impact.
Build and orchestrate agentic workflows and multi-agent systems that operate autonomously, make decisions, interact with external APIs, databases, tools, and real-world environments.
Leverage function calling, tool use, and integration patterns to connect LLMs with external systems, monitoring tools, and orchestration frameworks.
Work hands-on with state-of-the-art LLMs including Google Gemini (preferred), OpenAI models, Anthropic Claude ,.
Demonstrate strong understanding of architectures such as Transformers, Mixture of Experts (MoE) , and emerging paradigms.
Collaborate cross-functionally with product, engineering, and business teams to ensure AI solutions are explainable, interpretable, reliable, and aligned with business goals.
Apply strong problem-solving skills, including DSA, OOP, design pattern s, and large-scale system design principles, to tackle complex technical challenges.
Required
Qualifications & Skills:
Experience with SoTA LLM models — Google Gemini (strongly preferred), OpenAI, Anthropic, and others.
Strong proficiency in Python, including web frameworks ( FastAPI / Flask) and distributed task queues (Celery).
Deep understanding of LLM architectures (Transformers, MoE, etc.) and generative AI techniques.
Proven expertise in designing and building agentic workflows, multi-agent systems, autonomous decision-making agents, orchestration (e.g., Lang Graph, CrewAI, or similar), function calling, and tool integration.
End-to-end ownership of RAG pipelines — chunking, embedding, retrieval, reranking, generation, evaluation, and production scaling.
Experience deploying and scaling AI/ML workloads on cloud platforms (GCP preferred, plus Azure and AWS), with Kubernetes, MLOps tools, monitoring, and observability.
Solid foundation in DSA, OOP, design patterns, and system design for large-scale, production-grade systems.
Excellent communication & comprehension skills; ability to work cross-functionally and explain complex AI concepts to non-technical stakeholders.
Preferred / Advanced (Teachable) Skills
Prior hands-on experience with Google ADK (Agent Development Kit) and Gemini Enterprise for building, governing, and deploying custom AI agents.
Familiarity with advanced agent frameworks, memory systems, planning/reasoning loops, and observability in agentic applications.
Experience with enterprise-grade AI governance, safety, compliance, and explainability.
About Techolution:
Techolution is the world's #1 AI Acceleration Partner and the inventor of BPA 4.0, the groundbreaking AI platform that delivers guaranteed ROI from…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×