Senior Gen AI Engineer

Artificial Intelligence Remote 5 Years to 9 Years Full Time

Looking for a Senior Gen-AI and AI/ML engineer to design, build and deploy intelligent agentic systems, multimodal pipelines and MCP-based infrastructure that solve complex, real-world problems at enterprise scale.

Role

Location

Remote

Experience

5 Years to 9 Years

Type

Full Time

Responsibilities

What You Will Be Doing

Design and deploy agent-driven systems that autonomously solve complex business problems
Engineer collaborative multi-agent frameworks for coordinated reasoning and action
Build and extend MCP-based infrastructure for secure agent-to-tool/API interactions
Develop human-in-the-loop workflows combining agent autonomy with human oversight (for example RLHF, in-context correction)
Build, fine-tune, train and evaluate ML and deep-learning models using PyTorch and TensorFlow
Work with multimodal data pipelines (text, images, structured data) for embedding generation and feature extraction
Integrate models into production via APIs, inference pipelines and monitoring tools
Use Git, testing frameworks and CI/CD for maintainable code
Document architectural decisions and stay current with AI research trends

Required Skills

What You Need to Bring

Strong fluency in Python and Agentic frameworks. Solid understanding of ML fundamentals: optimization, representation learning, evaluation metrics, supervised/unsupervised/generative modeling. Hands-on experience with multimodal datasets and feature pipelines. Experience deploying ML models to production, including inference optimization and monitoring. Familiarity with LLMOps/MLOps concepts: versioning, reproducibility, observability, governance.

Good to Have

Not mandatory, but a bonus.

Experience designing goal-oriented agentic systems and multi-agent coordination workflows. Proficiency with LangChain, LangGraph, AutoGen, Google ADK or similar agent orchestration frameworks. Knowledge of secure tool/agent communication protocols such as MCP. Exposure to reinforcement learning from human feedback (RLHF) and reward modeling. Cloud experience

Qualifications

What We Are Looking For

Bachelor's or Master's in Computer Science, AI, Engineering or related field
5 to 9 years in AI or software engineering, with at least 2 years in Generative AI
Proven experience deploying RAG systems or LLM applications in production

Application Received.

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Role

Senior Gen AI Engineer

Department

Artificial Intelligence

Location

Remote

Experience

5 Years to 9 Years

What Happens Next

Application submitted

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Team reviews your profile

We review every application within a few business days.

Shortlisted candidates contacted

We reach out directly to candidates we would like to meet.