Applied AI Principal/Staff Engineer (Agentic Systems & Reputation Intelligence) - India - Built In

Hello, We’re Built In

What We’re Up To 

Built In is the only recruitment and employer reputation platform that helps companies measure and shape their reputation in AI search — so they can be visible, trusted, and chosen by top talent.

The HR tech space is filled with AI noise, but the real disruption is happening on the candidate side. By 2028, more candidates will use AI assistants like ChatGPT and Perplexity to discover and apply for jobs — fundamentally changing how talent and employers connect. Built In is the first to build for this new reality, giving companies the ability to understand and influence how they appear in AI-driven search.

Our platform already reaches millions of tech professionals each month, and our 1,800+ customers — from startups to Fortune 100 companies — rely on us to tell authentic stories, showcase opportunities, and attract top talent. With our newest AI-powered tools, we’re evolving Built In into a data-rich, reputation-driven platform that’s shaping the future of hiring

What You’ll Be a Part Of

Built In is 14 years strong but operates with the energy and pace of a startup. We ship fast, learn constantly, and build with purpose. As an engineer here, you’ll have the chance to design and deliver products at the intersection of AI, reputation, and search — directly influencing how millions of professionals and thousands of companies connect.

You’ll join a team that values curiosity, accountability, and being good humans first. Our engineering culture is rooted in collaboration, trust, and continuous improvement.

If you want to build products that matter, shape how AI transforms the future of work, and make a visible impact inside a company that’s redefining its category — this is the opportunity for you

We’re looking for an Applied AI Principal/Staff Engineer

We are looking for an Applied AI Principal/Staff Engineer to design and build the autonomous systems that power Built In’s product suite. Our platform already generates deep analytical insights for customers—your job is to build the Agentic Action Layer that turns those insights into outcomes. You will create multi-agent systems that don’t just surface data but take intelligent, supervised action across the major AI frontiers: ChatGPT, Google Gemini, and Perplexity.

The ideal candidate has already shipped production agentic systems and knows where orchestration frameworks help versus where they get in the way. You operate with a human-in-the-loop mindset, using agentic tooling to compress what would traditionally be a team-sized effort into individual throughput—without sacrificing reliability.

How You’ll Contribute

• Architect Agentic Systems: Design and implement production-grade agentic workflows—including Reflection, Self-Correction, Planning, and Multi-Agent Orchestration patterns—to power a growing portfolio of AI-driven product capabilities.
• Operationalize Agents in Production: Own the full lifecycle from rapid prototype to production deployment. Build agent systems with real-world constraints in mind: token budgets, latency targets, graceful degradation, and cost observability.
• Evolve Multi-Model Intelligence: Develop systems that synthesize outputs from ChatGPT, Gemini, and Perplexity to identify sentiment discrepancies, detect brand hallucinations, and surface actionable intelligence for customers.
• Build Scalable Cloud Infrastructure: Design and maintain serverless backend services using Python and AWS Lambda, ensuring agents perform efficiently at scale with proper observability.
• Drive Evaluation and Quality: Build LLM-as-a-Judge evaluation frameworks, trace-based testing pipelines, and quality feedback loops that keep agent output reliable as models and prompts evolve.
• Collaborate Across Teams: Work closely with Software Engineers and Product Managers to integrate agentic behaviors into production frameworks, ensuring AI systems are stateful, observable, and resilient.

What You Bring

• 10 + years of deep experience designing and shipping autonomous systems using patterns like ReAct, Planning, Reflection, and Multi-Agent Orchestration. You’ve moved agents from demo to production and dealt with the hard parts: failure handling, state management, and non-deterministic outputs.
• Expert-level implementation experience with frontier model APIs from OpenAI, Google, and Perplexity, including function calling, structured outputs, and streaming.

• You are a power user of agentic developer tools (e.g., Claude Code, Cursor, or custom agentic CLI workflows). You use these to architect, refactor, test, and ship—not just autocomplete.
• Demonstrated ability to manage multiple autonomous agents across a codebase: writing, testing, and auditing code with minimal manual intervention.

• Strong proficiency in Python for AI orchestration, plus working knowledge of C# / .NET. Our core platform runs on .NET, and you’ll need to integrate your agent systems with it—not just work alongside it.
• Practical experience deploying and operating serverless architectures on AWS (Lambda, Step Functions, EventBridge) for high-frequency, agentic workloads.

• Experience building custom evaluation frameworks (LLM-as-a-Judge, trace-based testing, regression suites) to maintain and improve agent output quality over time. You understand that the hardest part of production agents isn’t building them—it’s knowing when they’re wrong.

Why Work With Us

• Help shape intelligent systems that act autonomously in real-world environments
• Be part of a product-led, engineering-driven culture
• Remote-first team with collaborative, flexible work structure
• Opportunities for leadership and technical ownership in AI development

What We Value

We’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values: 

• Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always.
• Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission.
• Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead. 
• Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate.
• Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up. 
• Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business. 
• Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes. 

Be Inclusive, Always

Research shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory. 

Built In is an equal employment opportunity employer.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today:

• We have three thriving ERG groups: BuiltOut, United We Parent and Women United in Tech. 
• We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women

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