Artificial Intelligence Engineer

Title - AI Engineer

Type - Contract

Location - Hybrid, Chennai

Roles and Responsibilities:

• Architect and implement end-to-end full-stack solutions for Agentic AI applications that integrate real-time and historical data to facilitate autonomous decision-making.
• Design, develop, and deploy intelligent agents using frameworks such as

  LangChain

  and

  LangGraph

  , leveraging large language models (LLMs) for document authoring, semantic search, and recommendation systems.
• Build scalable, secure, and compliant chatbot interfaces that serve enterprise needs.
• Develop and maintain robust data pipelines using

  Python

  ,

  Snowflake SQL

  , and various

  AWS-native services

  to ensure seamless data flow and processing.
• Integrate graph databases like

  Neo4j

  and vector databases to enable semantic search capabilities and contextual reasoning.
• Deploy scalable AI services on cloud platforms including

  AWS (Bedrock, Lambda, ECS)

  ,

  Azure AI

  , and

  GCP

  .
• Collaborate with cross-functional teams across business, data science, and engineering to translate complex workflows into intelligent automation solutions.
• Ensure all AI systems comply with regulatory and operational standards, documenting architecture, deployment processes, and governance practices.
• Lead the development and deployment of AI agents for document retrieval and generation in large-scale enterprise environments, including

  Copilot Studio

  agent creation.
• Promote AI governance and ethics by adhering to principles of fairness, transparency, privacy, and responsible AI model integration, especially within regulated industries (e.g., FDA Part 11, GMP).
• Mentor junior engineers, lead technical workshops, and drive proof-of-concept projects to foster innovation and knowledge sharing.
• Communicate effectively with stakeholders to align AI solutions with business goals and operational requirements.

Qualifications:

• Bachelor’s or Master’s degree in

  Computer Science

  ,

  Artificial Intelligence

  ,

  Data Science

  , or a related technical field.
• 5+ years of professional software engineering experience with at least 3 years focused on AI/ML and large language model-based systems.
• Advanced proficiency in

  Python

  programming.
• Hands-on experience with

  LangChain

  ,

  LangGraph

  ,

  AutoGen

  ,

  CrewAI

  ,

  LlamaIndex

  or similar AI frameworks.
• Deep understanding of LLM architectures, prompt engineering, retrieval-augmented generation (RAG), and semantic search methodologies.
• Experience working with embedding-based search systems and graph technologies such as

  Neo4j

  and

  GraphRAG

  .
• Proficiency in cloud AI platforms including

  Azure AI

  ,

  AWS (Bedrock, Lambda, ECS)

  , and

  Google Cloud Platform (GCP)

  .
• Strong experience with containerization and orchestration tools including

  Docker

  ,

  Kubernetes

  , and infrastructure as code using

  Terraform

  .
• Expertise in building scalable APIs using frameworks such as

  FastAPI

  and

  Flask

  , and integrating them with enterprise systems.
• Familiarity with

  CI/CD pipelines

  and observability tools to ensure reliable deployment and monitoring of AI services.
• Knowledge of AI ethics, governance, and compliance frameworks applicable to regulated industries.
• Demonstrated leadership skills with experience mentoring teams and managing cross-functional collaboration.

Tools and Technologies:

• Programming Languages & Frameworks:

  Python

  ,

  FastAPI

  ,

  Flask

• AI Frameworks:

  LangChain

  ,

  LangGraph

  ,

  AutoGen

  ,

  CrewAI

  ,

  LlamaIndex

• Databases:

  Neo4j

  , Vector Databases
• Cloud Platforms:

  AWS (Bedrock, Lambda, ECS)

  ,

  Azure AI

  ,

  GCP

• Containerization & Orchestration:

  Docker

  ,

  Kubernetes

• Infrastructure as Code:

  Terraform

• Data Processing & Pipelines:

  Snowflake SQL

  ,

  AWS-native services

• DevOps & CI/CD:

  CI/CD pipelines

  , observability tools
• Other: Knowledge of AI governance, ethical AI