AI Engineer

Remote (India)

5-7 yrs Exp.

Contract

12 Months

Starts - Nov 30, 2025

JOB

Job Description

Job Responsibilities:

Job Title: AI Engineer (5-7 Years Experience)

Introduction: We are seeking a highly skilled AI Engineer to join our innovative team focused on designing, developing, and deploying enterprise-grade AI agents that interact with both structured and unstructured data. This role is pivotal in enabling autonomous workflows within manufacturing and quality operations, driving efficiency and intelligent automation at scale. The successful candidate will work at the forefront of AI technologies, delivering solutions that transform complex business processes into seamless, intelligent systems.

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 principles, and regulatory compliance standards

Join us to build the next generation of intelligent AI agents that revolutionize manufacturing and quality operations through autonomous, data-driven workflows. If you are passionate about AI innovation, cloud technologies, and scalable system design, we encourage you to apply.

Skills

Python, Langchain, LangGraph, AWS, Vector Database, API Development, CI/CD, Docker, Kubernetes, Terraform