Experience:

• 8+ years of hands-on experience in applied machine learning, NLP, or AI system development
• Experience with LLMs and agentic frameworks
• Hands-on experience with RAG pipelines using vector stores and embeddings
• Knowledge of multi-agent systems and task orchestration
• Proficiency in Python and modern ML frameworks
• Experience integrating with agent orchestration frameworks
• Understanding of enterprise software principles, including version control, CI/CD pipelines, API design, and performance monitoring
• Ability to thrive in a fast-paced startup environment with evolving priorities

Qualification:

• Bachelor’s degree in Computer Science or equivalent practical experience

Responsibilities:

• Design and deploy AI agents using the orchestration layer built on n8n, Temporal, and next-gen agentic stacks
• Build context-aware workflows that plug directly into enterprise systems
• Prototype quickly and ship production-grade AI agent flows
• Collaborate with product and design to identify high-impact user journeys
• Push the limits of RAG, embeddings, and vector search for grounded intelligence
• Engineer integrations with OpenAI, Anthropic, Claude, and other LLMs
• Blend LLMs with enterprise APIs, CRMs, internal tools, and more
• Lead multi-agent orchestration flows including planner-executor models, memory layers, persona-based behaviors, and tool-using agents
• Own the AI pipeline end-to-end from prompt engineering to deployment and monitoring
• Set the bar for reliability, latency, and safety of AI outputs
• Work with AI agents that perceive, plan, and act in enterprise environments

Additional responsibilities:

• Test, fail, learn, and iterate on AI agent flows
• Help transform how businesses make decisions, serve customers, and manage operations
• Support users’ trust in AI inside their organizations
• Work in a startup environment with rapidly changing priorities

Nice to have:

• Using AI tools to boost your own efficiency is expected
• Experience with frontier models and next-gen agentic stacks

More skills:

prompt tuning, API-based deployment, multi-agent systems, task orchestration, Python, PyTorch, TensorFlow, Temporal, n8n, custom stacks, enterprise APIs, CRMs, internal tools, dynamic context handling, agent simulation, evaluation, deployment, monitoring, version control, CI/CD, API design, performance monitoring, Java, Go, TypeScript, GCP, edge compute, DAG engines

Other:

• Founded by former EY Partners and ex-CTOs/Heads of Engineering from successful Series B+ startups
• The founding team has led enterprise projects valued at over $1 billion
• Raised $10 million in seed funding and is scaling across Dubai, Bengaluru, and Saudi Arabia
• Mission-critical systems and real ownership are emphasized
• The team values hustle, ownership, founder’s mindset, continuous learning, pride in craft, and a no-ego culture
• Upskilling is supported, including courses and conferences
• Perks include top-tier compensation, latest MacBook Pros, 4K monitors, paid AI tool and cloud credits, premium health, wellness and learning budgets, flexible PTO, and flexible work hours
• Department: Engineering