Job Description

We're looking for a

Senior Al Engineer - India

This role is Office Based, Hyderabad Office

Senior AI Engineer

This role is Office Based, Hyderabad Office

We are seeking an enthusiastic Senior AI Engineer to join our team and contribute to the development of intelligent talent technology. This is a hands-on opportunity for those early in their career to gain experience with AI and machine learning in a real-world, enterprise SaaS environment. You’ll work alongside experienced engineers and learn how large language models, recommender systems, and other AI solutions enhance the workplace.

In this role you will…

• Design,
  develop, and deploy production-grade AI agents and multi-agent systems
  using modern LLM frameworks.
• Build
  and optimize Retrieval-Augmented Generation (RAG) solutions for
  enterprise-scale applications.
• Develop
  intelligent workflows involving planning, reasoning, memory management,
  tool calling, and function calling.
• Design
  and implement scalable backend services and REST APIs using Python
  frameworks such as FastAPI.
  Integrate
  LLMs with enterprise systems, vector databases, APIs, and external tools.
• Deploy
  AI applications using Docker, Kubernetes, and cloud platforms such as AWS,
  Azure, or GCP.
• Optimize
  AI systems for latency, scalability, reliability, and cost efficiency.
• Build
  evaluation pipelines to measure retrieval quality, response relevance,
  hallucination rates, and overall LLM performance.
• Implement
  semantic search, hybrid search, reranking, embedding pipelines, and vector
  database integrations.
• Establish
  observability, monitoring, logging, and tracing for AI applications using
  industry-standard tools.
• Collaborate
  with product managers, software engineers, data scientists, and platform
  teams to deliver end-to-end AI solutions.
• Mentor
  junior engineers and promote AI engineering best practices, coding
  standards, and architectural excellence.
• Stay
  up to date with emerging advancements in LLMs, Agentic AI, RAG, and AI
  infrastructure.

You’ve got what it takes if you have…

• Bachelor's
  or Master's degree in Computer Science, Artificial Intelligence, Machine
  Learning, or a related technical field.
• 6+
  years of overall software engineering experience.
• Minimum
  3 years of hands-on experience building AI/Generative AI applications
  using Large Language Models (LLMs).
• Minimum
  3 years of experience developing scalable backend software and distributed
  systems.
• Strong
  proficiency in Java and Python and modern software engineering principles.
• Hands-on
  experience with AI orchestration frameworks such as LangGraph,
  LangChain, LlamaIndex, etc.
• Experience
  designing and implementing production-grade RAG systems,
  including embedding models, semantic search, hybrid search, reranking, and
  vector databases.
• Experience
  with vector databases such as Milvus, Pinecone, Weaviate, OpenSearch,
  Elasticsearch, FAISS, or ChromaDB.
• Experience
  integrating and deploying applications using LLMs such as OpenAI GPT,
  Claude, Gemini, Llama, Mistral, Amazon Nova, or Azure OpenAI.
• Strong
  experience building REST APIs using FastAPI or similar Python
  frameworks.
• Experience
  with containerization and orchestration technologies such as Docker and
  Kubernetes.
• Experience
  deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
• Familiarity
  with CI/CD pipelines, Git, and modern DevOps practices.
• Experience
  with AI evaluation, prompt engineering, observability, and monitoring
  tools such as LangSmith, Langfuse, MLflow, OpenTelemetry, Prometheus,
  or Grafana.
• Strong
  understanding of software architecture, microservices, asynchronous
  programming, and distributed systems.
• Excellent
  problem-solving, communication, and collaboration skills, with the ability
  to work effectively in a cross-functional team environment.

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!