Senior Engineer AI

Delta ExchangeDelta Exchange·Remote(India)
Software Development

WFA Digital Insight

The demand for skilled AI engineers has grown exponentially, with a 25% increase in job postings over the past year. Delta Exchange is at the forefront of this trend, leveraging AI to drive innovation in the digital marketing space. As a Senior Engineer AI, you'll have the opportunity to work on cutting-edge projects, collaborating with a talented team to develop and deploy AI-powered products. With the remote work landscape continuing to evolve, this role offers a unique chance to work with a forward-thinking company that values flexibility and creativity. Before applying, candidates should be prepared to showcase their expertise in RAG architectures, LLMs, and software development, as well as their ability to work effectively in a remote environment.

Job Description

About the Role

As a Senior Engineer AI at Delta Exchange, you will play a crucial role in the development and deployment of AI-powered products. Your day-to-day responsibilities will involve designing, building, and maintaining production AI applications, working closely with the product team to ensure seamless integration and optimal performance. You will be responsible for architecting solutions around the existing stack, building retrieval pipelines, and improving frontends with product sense.

The role is hands-on, requiring a deep understanding of AI and software development principles. You will be working on multiple production AI applications, including conversational support agents, RAG-powered search, code-generation copilots, and trading-strategy assistants. Your expertise in RAG architectures and LLMs will be essential in driving the development of these applications.

Delta Exchange is committed to innovation and excellence, and as a Senior Engineer AI, you will be expected to contribute to the company's mission of delivering cutting-edge AI-powered products. You will be working remotely, collaborating with a talented team of engineers and product specialists to drive the development of AI-powered solutions.

What You Will Do

  • Design, build, and maintain production AI applications end-to-end, including backend, frontend, and inference services
  • Architect RAG systems using vector databases, embedding models, and chunking strategies optimized for accuracy and latency
  • Build agentic workflows with tool/function calling, multi-step reasoning, and structured output parsing, prioritizing accuracy and control
  • Write and iterate on system prompts, few-shot examples, and prompt chains to maximize output quality
  • Implement function calling, tool-use patterns, and structured JSON/XML output handling using frontier and lightweight models from providers like Anthropic and OpenAI
  • Drive cost optimization: model selection, caching, token budgeting, and request batching at scale
  • Build and maintain evaluation frameworks to measure accuracy, relevance, hallucination rates, and regression across prompt and model changes
  • Work with observability tools, such as Sentry and Opik, to monitor and optimize AI service performance
  • Deploy and manage AI services on Kubernetes with CI/CD pipelines on AWS/GCP
  • Integrate AI capabilities with third-party platforms, such as Telegram bots and chat widgets

What We Are Looking For

  • 5+ years of experience shipping production software systems
  • 2+ years of experience building AI/LLM-powered applications end-to-end with real users and volume
  • Strong experience with RAG architectures: vector databases, embedding models, chunking/indexing strategies, and retrieval evaluation
  • Deep understanding of LLM capabilities and limitations: prompt engineering, function/tool calling, structured outputs, context window management, and multi-turn conversations
  • Experience with LLM provider APIs and abstraction layers, such as OpenAI, Anthropic, LiteLLM, OpenRouter, or similar
  • Proficiency in Python (Flask/FastAPI) and/or Node.js/TypeScript (Next.js, Vercel AI SDK)
  • Hands-on experience building evaluation frameworks and tracking quality metrics
  • Familiarity with cost optimization: model routing, caching, token usage monitoring, and prompt compression
  • Solid fundamentals in data structures, algorithms, and system design
  • Experience with containerized deployments (Docker, Kubernetes) and cloud platforms (AWS/GCP)

Nice to Have

  • Experience with agentic frameworks, such as Vercel AI SDK, LangChain, Mastra, etc.
  • Background in fine-tuning or training open-source models
  • Knowledge of cryptocurrency, derivatives trading, or financial systems
  • Open-source contributions or personal projects with real traction
  • Experience with AI coding harnesses, such as Claude Code, Codex, Droid, etc.

Benefits and Perks

  • Competitive compensation package
  • Opportunity to work on cutting-edge AI-powered projects
  • Collaborative and dynamic remote work environment
  • Professional development opportunities, including training and conference sponsorships
  • Flexible working hours and remote work stipend
  • Access to the latest tools and technologies
  • Recognition and reward for outstanding performance
  • Comprehensive health and wellness programs
  • Generous paid time off policy

How to Stand Out

  • Tip: Make sure to highlight your experience with RAG architectures and LLMs in your resume and cover letter, as these are essential skills for the role.
  • Be prepared to provide examples of your work, including code repositories or personal projects that demonstrate your expertise in AI and software development.
  • Showcase your ability to work effectively in a remote environment, including your experience with collaboration tools and communication strategies.
  • Demonstrate your understanding of the current AI landscape, including the latest trends and technologies, and be prepared to discuss how you stay up-to-date with industry developments.
  • Consider creating a portfolio or GitHub repository that showcases your work and skills, as this can be a valuable asset in the application process.
  • Don't be afraid to ask questions during the interview process, as this demonstrates your interest in the role and the company.
  • Keep your online presence professional, including your social media profiles and personal website or blog, as this can be an important factor in the hiring process.

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