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Greetings from Fresh Gravity!
About Fresh Gravity: Founded in 2015 and rapidly expanding, Fresh Gravity (www.
freshgravity.
com) is a business and technology consulting company at the cutting-edge of digital transformation.
We drive digital success for our clients by helping them adopt transformative technologies that make them nimble, adaptive and responsive to their rapidly changing business needs.
Our unparalleled digital transformation expertise combines business strategy prowess with digital technologies know-how.
Our expertise includes Data Management, Artificial Intelligence, Data Science & Analytics, and API Management & Integration.
In a short time, we have crafted an exceptional team who have delivered impactful projects for some of the largest corporations in the world.
We are on a mission to solve the most complex business problems for our clients using the most exciting new technologies.
And we are looking for top talent to join us in our quest.
Fresh Gravity’s team members are authorities in their field, but know how to have fun, too.
We’re building an inspiring, open organization you’ll take pride in.
We challenge ourselves to grow – every day.
We create value for our clients and partners – every day.
We promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.
We are thoughtful.
We are engaged.
We are relentless.
We are Fresh Gravity.
Fresh Gravity is an equal opportunity employer.
In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.
In keeping with Fresh Gravity’s challenger ethos, we have developed the 5 Dimensions (5D) benefits program.
This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions.
Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.
Senior AI Engineer / AI Architect About the Role We are seeking a Senior AI Engineer / Architect to lead the design and implementation of enterprise-scale AI solutions.
This role involves architecting Agentic AI systems, advanced RAG pipelines, AI-driven governance solutions, and multi-agent frameworks , while mentoring junior engineers and shaping the AI capability roadmap.
What You'll Do : Develop and optimize transformer-based NLP models, including LLM fine-tuning, evaluation, and prompt engineering .
Build and deploy RAG pipelines by integrating LLMs with vector databases (FAISS, Pinecone, Chroma, Azure AI Search).
Implement multi-agent orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) for advanced workflows.
Apply LLM evaluation and guardrail frameworks (Guardrails AI, TruLens, RAIL) to ensure reliability and safety.
Design and maintain end-to-end ML pipelines: ingestion, preprocessing, training, deployment, and monitoring.
Apply MLOps/LLMOps best practices for automation, observability, and reliability in Azure ML or equivalent platforms.
Work with knowledge graphs (Neo4j, RDF/OWL) and integrate them into GenAI workflows.
Build scalable pipelines and workflows using Databricks integrated with cloud platforms.
Write clean, production-grade code in Python, including microservices, REST APIs, and FastAPI .
Collaborate cross-functionally with data, cloud, and product teams to solve business problems with AI.
What We’re Looking For: 3+ years of AI/ML engineering experience with proven enterprise delivery.
Deep expertise in transformer models, LLMs, agentic AI, and multi-agent orchestration frameworks .
Strong background in building and optimizing RAG systems at scale.
Advanced proficiency with , Azure ML, and cloud-native AI platforms .
Expert-level coding in Python, with advanced experience in microservices, REST APIs, and FastAPI .
Strong experience in knowledge graphs, graph ML, and enterprise AI integration .
Proven leadership in LLM evaluation, observability, and governance .
Awareness of enterprise compliance and security frameworks relevant to AI.
Strategic thinker with the ability to connect AI/ML capabilities to real business outcomes.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.