Senior Analyst – AI Engineer

Jobtailor; Hyderabad; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Jobtailor in Hyderabad, India, is seeking an experienced AI engineer to design, implement, and deploy production-ready AI agents and generative AI solutions using Python and LangChain. You will build modular agent components, integrate with LangChain, and develop RAG solutions using embeddings, vector databases, and enterprise data sources.

You will collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into reliable AI applications while

Qualifications

• Bachelor-level degree in a related field; advanced degree preferred.
• 5–8 years of AI/ML engineering, software engineering, or data science experience.
• Hands-on experience implementing AI solutions using LangChain, building and deploying working solutions.
• Strong Python programming and API/data pipeline development experience.
• Knowledge of agentic AI patterns, RAG, embeddings, vector databases, model evaluation, and tool calling.
• Experience with cloud platforms (Azure/AWS/GCP) and containerization (Docker/Kubernetes).
• Familiarity with CI/CD, MLOps, or LLMOps including testing, deployment, monitoring, and release control.
• Excellent communication, problem-solving, and cross-functional collaboration.

Responsibilities

• Design, implement, and deploy production-ready AI agents and LangChain-based solutions.
• Build modular, scalable agent components, including memory, planning, and tool use.
• Develop RAG solutions using embeddings, vector databases, and enterprise data sources.
• Collaborate with Research, Managed Services, product, data, and technology teams.
• Prototype and evaluate agent behaviors, prompt strategies, and tool-calling workflows.
• Build and maintain scalable data pipelines and APIs supporting AI development and deployment.
• Benchmark performance, improve quality, reliability, latency, and cost.
• Implement observability, testing, guardrails, and monitoring for reliable AI delivery.
• Maintain CI/CD and MLOps/LLMOps practices; adhere to data governance and security requirements.

Skills

Python Programming

LangChain Implementation

MLOps Practices

Data Pipeline Development

AI Solution Design

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or related field

Tools

Azure

AWS

GCP

Docker

Kubernetes

Job description

• Design, implement, and deploy production-ready AI agents and generative AI solutions using Python and LangChain
• Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multimodal capabilities
• Develop RAG solutions using embeddings, vector databases, and enterprise data sources
• Integrate and evaluate open-source and proprietary large language models for business use cases
• Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into AI solutions
• Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows
• Build and maintain scalable data pipelines and APIs supporting AI development, evaluation, deployment, and monitoring
• Benchmark performance and improve quality, reliability, latency, and cost
• Implement observability, testing, evaluation, guardrails, and monitoring for reliable and responsible AI delivery
• Maintain CI/CD and MLOps/LLMOps practices
• Follow data governance, security, privacy, and intellectual property requirements
• Communicate technical concepts to technical and non-technical stakeholders and contribute to knowledge sharing

Requirements

• Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; advanced degree preferred
• 5 to 8 years of relevant experience in AI/ML engineering, software engineering, data science, or a related technical field
• Demonstrated hands‑on experience implementing AI solutions using LangChain, including building and deploying working solutions
• Strong programming experience in Python and experience developing APIs, reusable services, and data pipelines
• Hands‑on knowledge of agentic AI patterns, RAG, prompt engineering, embeddings, vector databases, model evaluation, and tool calling
• Experience with Azure, AWS, or GCP and Docker or Kubernetes
• Experience with CI/CD, MLOps, or LLMOps practices, including testing, deployment, monitoring, and controlled releases
• Ability to explain technical decisions, solve ambiguous business problems, and collaborate with cross‑functional stakeholders
• Ownership mindset, curiosity, proactive problem solving, and commitment to continuous learning and collaboration
• Fluency in English and any additional language relevant to the working market, where applicable

Core Competencies

Demonstrates expertise in designing and deploying AI solutions using Python and LangChain, with a strong focus on building scalable data pipelines, APIs, and implementing MLOps practices. Proficient in collaborating with cross‑functional teams to translate business needs into effective AI applications while ensuring compliance with data governance and security standards.

Highest-signal resume keywords

• Python Programming
• LangChain Implementation
• MLOps Practices
• Data Pipeline Development
• AI Solution Design

Hard Skills

• AI Engineering
• Machine Learning
• Data Science
• API Development
• Prompt Engineering
• Embeddings
• Vector Databases
• Model Evaluation
• Tool Calling
• Agentic AI Patterns

Soft Skills

• Problem Solving
• Collaboration
• Communication
• Curiosity
• Ownership Mindset

Industry Keywords

• Data Governance
• Security
• Privacy
• Intellectual Property
• Continuous Learning

Tools & Technologies

• Azure
• AWS
• GCP
• Docker
• Kubernetes