Join Oteemo as a Senior AI Engineer to build and deploy AI-powered applications, agentic workflows, and RAG pipelines for enterprise clients. Work with cutting-edge LLM frameworks, cloud-native AI services, and modern full-stack technologies in a hybrid role based in Hyderabad.

About the Company

Oteemo is an industry-leading technology consulting firm at the forefront of AI-driven, cloud-native, enterprise DevSecOps transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical and business challenges. We're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and work alongside recognized experts on cutting-edge projects that blend cloud-native architecture, extreme automation, and AI/ML at the core. We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients.

Role Overview

We are looking for a hands-on Senior AI Engineer who can build scalable, AI-powered applications and solve complex business problems. The ideal candidate is an out-of-the-box thinker, passionate about emerging technologies, and comfortable working across backend, frontend, AI, and cloud. This role has a clear path to evolve into a Forward Deployed Engineer (FDE) working closely with clients to understand their challenges, rapidly prototype solutions, and deploy them in real-world environments.

Key Responsibilities

• Build and deploy AI-powered applications, agentic workflows, and backend services.
• Design and ship LLM agents using LangGraph, LangChain, LibreChat, or equivalent frameworks.
• Build RAG pipelines — chunking, embeddings, vector search (pgvector/Redis), and retrieval evaluation.
• Establish prompt/agent evaluation practices to measure accuracy and reduce hallucination.
• Develop APIs and services using Python, FastAPI, TypeScript, and Node.js.
• Build frontend applications using React, TypeScript, and Tailwind CSS.
• Work with PostgreSQL and MongoDB (Redis a plus).
• Deploy and manage applications using Docker, cloud platforms, and Infrastructure as Code.
• Integrate cloud-native AI services from Azure AI Foundry (Azure OpenAI, Azure AI Search, Document Intelligence, Vision/Speech/Language) and/or AWS AI/ML (Bedrock, SageMaker, Textract, Comprehend, Rekognition, Kendra).
• Follow secure coding practices and handle sensitive/regulated client data responsibly.
• Collaborate with engineering, business, and client teams to turn requirements into working solutions.
• Participate in client discussions, technical workshops, and solution demos where required.

Tech Stack

• Languages: Python, TypeScript, JavaScript
• Frameworks: LangGraph, LangChain, FastAPI, React, Node.js, Tailwind CSS
• Databases: PostgreSQL, MongoDB, Redis (plus)
• Vector Search: pgvector, Redis (for RAG)
• AI Services: Azure OpenAI, Azure AI Search, Document Intelligence, Azure Vision/Speech/Language; AWS Bedrock, SageMaker, Textract, Comprehend, Rekognition, Kendra
• DevOps & Tools: Docker, Kubernetes (AKS/EKS/GKE), Terraform (or Pulumi)
• Other: LibreChat, REST APIs, Infrastructure as Code

What Success Looks Like (First 90 Days)

• 30 days: Ramp on the codebase and stack; ship your first meaningful PR.
• 60 days: Independently build and deploy an agentic workflow or RAG feature to a staging environment.
• 90 days: Own a client-facing feature end-to-end from requirement to deployed solution with measurable quality (eval-backed).

Oteemo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Required Qualifications

• 4–8 years of professional software engineering experience.
• Strong Python and backend/API development skills (FastAPI, REST).
• Working knowledge of TypeScript/Node.js and modern React frontend development.
• Hands-on experience with LLMs and AI agents (LangGraph, LangChain, or similar).
• Experience with PostgreSQL and/or MongoDB.
• Hands-on with Docker and at least one cloud platform (Azure, AWS, or GCP).
• Strong communication and collaboration skills; comfortable in client-facing settings.

Nice-to-Have (Bonus)

• Experience with RAG, vector databases (pgvector, Redis, or similar), and agent evaluation.
• Azure AI/Cognitive Services (Azure OpenAI, AI Search, Document Intelligence, Vision).
• AWS AI services (Bedrock, SageMaker, Textract, Comprehend, Rekognition, Kendra).
• Infrastructure as Code — Terraform preferred (Pulumi or similar acceptable).
• Kubernetes exposure (AKS/EKS/GKE).
• LibreChat or similar chat-platform customization.
• Prior consulting or forward-deployed / client-embedded experience.

Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Compensation & Benefits

• Competitive salary aligned with industry standards.
• Opportunity to work on cutting-edge AI projects with recognized experts.
• Dynamic, inclusive, and collaborative culture built on continuous learning.
• Hybrid work arrangement based in Hyderabad with flexible US Eastern hours overlap.
• Clear career growth path to Forward Deployed Engineer role.
• Exposure to enterprise and public-sector clients.
• All information kept confidential according to EEO guidelines.