Senior AI Engineer

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 and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll 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. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.

AI Engineer / Forward Deployed Engineer (FDE)
Location: Hyderabad, India (Hybrid) · Must have reliable overlap with US Eastern hours for client collaboration
Level: Mid to Senior (4–8 years)
Team: AI Engineering
Employment Type: Full-time

About Oteemo

Oteemo is a digital transformation consultancy helping enterprise and public-sector clients modernize how they build and ship software. AXIOM is our AI platform for building secure, agentic AI applications and copilots deployed across regulated commercial and federal environments.

As an AI Engineer on the team, you'll build the agents, pipelines, and integrations that power real client solutions and, over time, work directly with clients to prototype and deploy them in the field.

Role Overview

We're looking for a hands-on 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.

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.

What We Look For

• An out-of-the-box thinker with strong problem-solving skills.
• A passion for learning, experimentation, and continuous upskilling.
• The ability to quickly pick up new technologies and thrive in evolving environments.
• A proactive, ownership-driven mindset able to take ideas from concept to deployment.
• Clear communication and genuine collaboration instincts.

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.

Education:

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

All your information will be kept confidential according to EEO guidelines.