Consultant/ Sr. Consultant - Generative AI (2025)

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.

Requirements

JD 1 : Junior / Entry-Level AI Engineer

What You’ll Do:

·       Support the design and development of ML and GenAI workflows, from data ingestion and preprocessing to model training.

·       Experiment with transformer models and LLM APIs (OpenAI, Azure OpenAI, Hugging Face).

·       Contribute to RAG (Retrieval-Augmented Generation) implementations using vector databases such as FAISS, Pinecone, Chroma, or Azure AI Search.

·       Assist in building and maintaining pipelines on Databricks for data engineering and ML workflows.

·       Learn and apply MLOps and LLMOps tools for CI/CD, monitoring, and deployment (Azure ML, W&B, or LangSmith).

·       Collaborate with data engineers and cloud teams to integrate solutions.

·       Continuously expand skills in Python, ML frameworks (PyTorch/TensorFlow), and modern AI toolkits.

     What We’re Looking For:

·       Strong foundation in ML/DL concepts and Python programming.

·       Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).

·       Exposure to transformer models and LLM APIs.

·       Familiarity with vector databases and RAG pipelines (preferred).

·       Basic experience with data pipelines and Databricks.

·       Curiosity to explore multi-agent frameworks (LangChain, LlamaIndex, CrewAI) and multi-modal AI.

·       Strong problem-solving mindset and eagerness to learn quickly.

·       Effective communication and teamwork skills.

JD 2: AI Engineer

As a Mid-Level AI Engineer, you’ll design, build, and optimize AI/ML systems that integrate LLMs, vector databases, knowledge graphs, and enterprise data platforms. You’ll work hands-on with production-grade systems and collaborate across cloud, data, and product teams to deliver scalable AI solutions.

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:

• 3–5 years of experience in AI/ML engineering.
• Proficiency in deep learning frameworks (PyTorch, TensorFlow).
• Solid experience with transformer models, LLMs, and RAG architectures.
• Familiarity with multi-agent orchestration and observability tools (LangSmith, Arize, W&B).
• Strong coding expertise in Python, APIs, and microservices.
• Hands-on experience with Databricks and enterprise ML workflows.
• Familiarity with knowledge graphs and their applications in AI.
• Experience with CI/CD pipelines and cloud-native deployments.
• Strong analytical skills and ability to link AI to business outcomes.

JD 3: 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 :

• Architect and optimize transformer-based NLP and LLM systems, including advanced fine-tuning and evaluation.
• Lead the design of RAG architectures integrated with enterprise knowledge bases, vector databases, and knowledge graphs.
• Build and optimize AI agents and multi-agent systems that combine APIs, tools, and reasoning capabilities.
• Drive adoption of LLM guardrails, safety frameworks, and evaluation pipelines to ensure trustworthiness and compliance.
• Oversee the implementation of large-scale ML/GenAI pipelines with a focus on scalability, reliability, and robustness.
• Provide technical leadership in knowledge graphs, graph ML, and KG-GenAI integrations.
• Architect and optimize workflows on Databricks and integrate with cloud-native AI deployments (Azure, AWS, GCP).
• Drive adoption of observability/LLMOps practices (LangSmith, W&B, Arize) for production systems.
• Champion enterprise AI security, compliance, and governance standards (GDPR, HIPAA, SOC2).
• Mentor junior and mid-level engineers; guide code reviews, architecture decisions, and solution design.
• Partner with leadership to align AI solutions with strategic business outcomes.

     What We’re Looking For:

• 5+ 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 Databricks, 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.

Benefits

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 5Dimensions (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.