Senior Gen AI Engineer

Senior GenAI Engineer Experience - 5 10 Years Location - Remote / PAN India Department - AI & Emerging Technologies
About Trinamix

Trinamix is a leading Oracle consulting and technology solutions organization specializing in Oracle Cloud transformations across ERP, SCM, HCM, EPM, CX, and AI-driven enterprise solutions.

As part of our strategic AI initiative, we are building next-generation AI products and accelerators that complement Oracle ERP ecosystems and solve business challenges beyond the standard capabilities of Oracle applications. Our focus includes Enterprise AI Assistants, Intelligent Automation, Knowledge Management, Predictive Analytics, AI Agents, and Industry-Specific GenAI Solutions.

Job Summary

We are looking for a highly skilled Senior GenAI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions and intelligent products.

The ideal candidate will have strong expertise in Generative AI, LLMs, Agentic AI, RAG Architectures, Python, FastAPI, Cloud Technologies, and Enterprise Application Integrations. The role requires hands-on technical leadership and the ability to build scalable AI products from concept to production.

This position offers an opportunity to work on cutting-edge AI platforms that integrate with Oracle ERP, SCM, HCM, EPM, and enterprise business applications.

Key Responsibilities

1. Design and develop enterprise-scale AI and Generative AI solutions.
2. Build AI products and accelerators that integrate with Oracle ERP and enterprise ecosystems.
3. Architect and implement RAG-based knowledge management systems.
4. Design and develop AI Agents, Multi-Agent Systems, and Autonomous Workflows.
5. Develop scalable backend services using Python and FastAPI.
6. Build and optimize LLM-powered applications using OpenAI, Anthropic, Gemini, Llama, and open-source models.
7. Implement vector search, embeddings, semantic retrieval, and document intelligence solutions.
8. Design APIs and microservices for AI model integration.
9. Lead the complete AI product lifecycle from ideation to deployment.
10. Collaborate with Oracle consultants, product teams, architects, and business stakeholders.
11. Optimize AI model performance, latency, scalability, and operational costs.
12. Establish AI engineering standards, governance, and security best practices.
13. Mentor junior engineers and provide technical leadership.

Required Technical Skills Generative AI & LLMs

1. Large Language Models (LLMs)
2. Retrieval Augmented Generation (RAG)
3. Prompt Engineering
4. Agentic AI
5. Multi-Agent Frameworks
6. Fine-Tuning & Model Optimization
7. Function Calling & Tool Usage
8. AI Workflow Automation
9. AI Evaluation Frameworks

AI Frameworks & Tools

1. OpenAI
2. Anthropic Claude
3. Google Gemini
4. Hugging Face
5. LangChain
6. LangGraph
7. LlamaIndex
8. CrewAI
9. AutoGen
10. DSPy

Programming & Backend Development

1. Python
2. FastAPI
3. REST APIs
4. Microservices Architecture
5. Asynchronous Programming
6. System Design

Vector Databases & Search

1. Pinecone
2. Weaviate
3. ChromaDB
4. FAISS
5. Elasticsearch
6. Azure AI Search

Cloud & Infrastructure

1. AWS / Azure / GCP
2. Docker
3. Kubernetes
4. CI/CD Pipelines
5. Terraform
6. Serverless Architectures

MLOps & AI Operations

1. MLflow
2. LangSmith
3. Weights & Biases
4. Model Monitoring
5. Experiment Tracking
6. AI Governance

Enterprise & Oracle Integration Experience

Candidates with experience in integrating AI solutions with enterprise applications will be preferred.

Exposure to:

1. Oracle ERP Cloud
2. Oracle SCM Cloud
3. Oracle HCM Cloud
4. Oracle EPM Cloud
5. Oracle CX Cloud
6. Enterprise Knowledge Management Systems
7. Business Process Automation
8. Intelligent Document Processing

will be considered a strong advantage.

Preferred Qualifications

1. Experience building enterprise AI products from scratch.
2. Experience deploying AI applications to production environments.
3. Experience with AI Agents and Workflow Automation.
4. Knowledge of OCR, NLP, Computer Vision, or Speech AI.
5. Exposure to Oracle ecosystem and enterprise business applications.
6. Prior experience leading engineering teams or AI projects.

Soft Skills

1. Strong problem-solving and analytical thinking.
2. Excellent communication and stakeholder management.
3. Product mindset with a focus on business value.
4. Ability to work independently in a fast-paced environment.
5. Strong leadership and mentoring capabilities.

Why Join Trinamix

1. Build next-generation AI products for global enterprises.
2. Work at the intersection of Oracle Cloud and Generative AI.
3. Opportunity to architect enterprise-scale AI platforms.
4. Exposure to cutting-edge GenAI, Agentic AI, and automation technologies.
5. High-growth environment with strong innovation focus.
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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.