AI Engineer - Senior

AI Engineer

AI Engineer,

next-generation AI services

Your Technical

• Develop and implement

  AI and GenAI-based microservices

  and APIs leveraging frameworks such as

  LangChain, LlamaIndex, or Semantic Kernel

  .
• Develop and integrate

  LLM-based solutions

  (OpenAI, Anthropic, Mistral, Azure OpenAI, etc.) for real-world enterprise use cases.
• Build and maintain

  RAG (Retrieval-Augmented Generation)

  pipelines involving embedding generation, document chunking, and vector search using tools such as

  FAISS, Pinecone, or Weaviate

  .
• Implement

  prompt engineering, fine-tuning, and model evaluation

  techniques for optimizing responses and accuracy.
• Deploy AI models and services using

  cloud AI platforms

  (AWS Bedrock, Azure AI, Vertex AI).
• Work with

  data pipelines

  to preprocess, clean, and structure data for model ingestion.
• Develop

  API interfaces

  for integrating AI services into existing enterprise platforms and applications.
• Ensure strong adherence to

  DevOps/MLOps

  practices, including versioning, CI/CD automation, monitoring, and rollback strategies.
• Collaborate with the architecture and DevOps teams for

  containerized deployments

  using Docker and Kubernetes.
• Implement

  logging, monitoring, and performance tracking

  for deployed AI models and APIs.
• Continuously explore emerging AI frameworks, open-source models, and new deployment patterns to enhance solution design.

Your Management & Collaboration

• Collaborate with AI Architects and cross-functional teams to convert solution blueprints into implementable modules.
• Participate in

  technical discussions, design reviews, and sprint planning

  to ensure smooth delivery.
• Support project managers in defining realistic timelines and technical dependencies.
• Maintain high-quality documentation for models, APIs, and data pipelines.
• Contribute to

  proofs of concept (POCs)

  and

  internal accelerators

  showcasing new AI capabilities.
• Assist in evaluating third-party tools, APIs, and frameworks for AI adoption within enterprise systems.

Your People (If Applicable)

• Support peer learning through code reviews, internal demos, and technical discussions.
• Share best practices in AI coding standards, prompt design, and data preparation.

Education

• BE/BTech/MCA with 4-8 years of total experience, including

  1-2 years of relevant AI/ML or GenAI project experience

  .

Mandatory Skills

• Programming

  Python (preferred), Java, or Node.js

• AI/ML Frameworks

  LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Azure OpenAI, or Anthropic API

• LLM Expertise

  Experience with GPT, Claude, Llama, Mistral, or other open-source LLMs

• RAG Frameworks

  Pinecone, FAISS, Chroma, or Weaviate

• Cloud AI Platforms

  AWS Bedrock, Azure Cognitive Services, Google Vertex AI

• APIs & Integration

  REST/gRPC APIs, Swagger/OpenAPI, Postman

• Data & Storage

  MySQL, MongoDB, Redis, or vector stores

• DevOps/MLOps

  Git, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), MLflow (nice to have)

• Testing

  PyTest, Postman, and API-level testing

• Version Control

  Git/GitHub, Bitbucket

Preferred Skills

• Experience with

  prompt optimization and evaluation

• Familiarity with

  LangGraph

  or

  CrewAI

  for agentic workflows
• Basic knowledge of

  transformer architecture internals

• Experience working with

  data pipelines (Airflow, Prefect)

• Awareness of

  responsible AI and model governance

  principles
• Agile/DevOps delivery experience

• Continuous learning

  You ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you

  We ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership

  We ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture

  You ll be embraced for who you are and empowered to use your voice to help others find theirs.