Senior Gen AI Engineer

Working Hours : Full Time

Locations : Hyderabad

Experience : 6 –10 years

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About The Role

Soothsayer Analytics is a global AI and Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning solutions spanning predictive analytics, optimization, NLP, and GenAI that help leading enterprises forecast, automate, and gain a competitive edge. Join us to tackle high-impact, cross-industry projects where your ideas move rapidly from concept to production, shaping the future of data-driven decision-making.

Job Overview

We are seeking a skilled Senior Gen AI Engineer with strong ML fundamentals and data engineering expertise to lead the development of scalable AI / LLM solutions. This role focuses on integrating AI models into production, optimizing machine learning workflows, and creating scalable AI-driven systems. The ideal candidate will have strong experience with Machine Learning Engineering, model evaluation techniques, feedback loop creation, and integrating advanced technologies such as Large Language Models (LLMs). The AI Engineer will also work on designing and implementing AI orchestration pipelines, with a special emphasis on prompt engineering, vector databases, and embedding strategies for efficient data handling and processing. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices.

Key Responsibilities

Machine Learning Engineering :

• Develop, train, and deploy ML models, ensuring they are optimized for production environments.
• Create and maintain automated feedback loops to enhance model accuracy and performance.
• Implement ML pipelines for continuous evaluation and refinement of models in production.

AI / LLM Development & Orchestration

Model Evaluation & Feedback Loops

Text-to-SQL & Generative AI-driven Solutions

Embedding / Chunking & Prompt Engineering

Data Engineering

MLOps / LLMOps & Deployment

Collaboration

Required Skills & Qualifications

Education : BS / MS / PhD in CS / AI / Data Science (or equivalent experience).

Experience : 6+ years in ML + data engineering, with 2+ years in LLM / GenAI projects.

Skills Matrix

Candidates must submit a detailed resume and fill out the following matrix :

Skill

Details

Skills Last Used

Experience (months)

Self-Rating (0–10)

Python

ML Engineering

SQL / NoSQL

Apache Spark / Kafka

LLM Frameworks (LangChain, LangGraph)

MLOps / LLMOps (Docker / K8s, CI / CD, Experiment Tracking, Monitoring)

Cloud (AWS / Azure / GCP)

Vector Databases (Pinecone, Weaviate)

Prompt Engineering

AI Agent Design (Chains, Tools)

A2A / MCP

GitHub

Security (AI / LLM)

Instructions For Candidates

Skills Required

Github, Kafka, Security, Nosql, Docker, Python, Aws, Monitoring, Apache Spark, Sql, Tools, Cloud, Gcp, MLops, Mcp, Azure, Kubernetes