Job Description

Our Journey So Far
We started as an Engineering, Procurement, and Construction (EPC) company driven by one mission to deliver projects that unite technical excellence, safety, and sustainability through digital intelligence. Over time, we’ve evolved from a traditional contractor into a data-driven innovation hub, connecting design, construction, and operations with cutting-edge technology. Today, our teams manage complex industrial and infrastructure projects. By embedding AI-powered analytics, digital twins, and intelligent contract systems into every phase of the EPC lifecycle, we’re building a smarter, more connected, and more transparent future for engineering.

Why Join Us
We’re entering a new era of engineering where data, AI, and collaboration redefine how projects are designed, managed, and delivered. By combining engineering expertise with digital innovation, we’re creating the next generation of EPC systems from AI-assisted design validation and smart contract analysis to real-time digital twins and project intelligence dashboards. Joining us means helping shape the digital backbone of modern infrastructure, where your ideas directly influence decisions from boardrooms to construction sites, driving safer, smarter, and more sustainable outcomes.

What You’ll Drive Forward

• Design and implement advanced AI systems including RAG pipelines, multi-agent workflows, and predictive services
• Develop, fine-tune, and deploy LLMs and small expert models using adapters, quantization, and reinforcement learning techniques
• Lead innovation in agentic AI, including autonomous decision-making agents, tool-use, memory management, and self-adaptive behaviors
• Collaborate closely with scientists, engineers, and product teams to embed intelligent systems into Snapp’s core infrastructure
• Continuously monitor, evaluate, and enhance system performance across accuracy, latency, and cost
• Ensure reliability through robust testing, observability, and reproducible deployment pipelines
• Drive research into advanced agent architectures, interactive learning, and reinforcement-based optimization strategies

What Powers Your Drive

• 5+ years of experience in applied AI/ML engineering, with a focus on LLMs, RAG, and real-world deployment of intelligent systems
• Proven track record of building agentic AI workflows or autonomous systems with integrated tool use and memory
• Deep understanding of RL, policy optimization, online learning, and agent coordination in dynamic environments
• Proficiency in Python and modern ML frameworks (PyTorch or TensorFlow), with strong grasp of system-level design and clean engineering practices
• Experience with vector search, embedding pipelines, and orchestration frameworks like LangChain, LangGraph, or custom agent stacks
• Familiarity with model deployment stacks (vLLM, Triton), and observability tools for live AI systems
• Comfortable working with large-scale data systems (e.g., SQL, Spark, Redis) and optimizing throughput in production
• Ability to communicate abstract AI concepts and experimental findings clearly across technical and business teams
• Contributions to RL or agentic AI research, open-source projects, or experience with privacy-compliant ML pipelines (e.g., GDPR, CCPA)

Join Us
If you’re passionate about building systems that shape the future of engineering, and want your code to power real-world impact, we’d love to meet you. Join us and help redefine what’s possible in digital engineering and intelligent EPC delivery.