AI Lead Engineer
5 days ago
About OrbitShift AtOrbitShift, we are building theworld’s first AI-native Sales Operating System , trusted by enterprise teams to accelerate their sales motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content. Backed byPeak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors , we are a fast-growing, 3-year-old startup with a team fromAmazon, McKinsey, IIT, and Stanford . Now, we are looking for ahands-on AI Lead Engineerto architect and scale the next frontier of our platform:agentic AI systems for enterprise sales .Role Overview AsAI Lead Engineer – Agentic Platforms , you will take end-to-end ownership of designing and building thefoundational architecture for multi-agent AI systemsat OrbitShift. This is ahigh-impact rolewhere you’ll combine cutting-edge research with practical engineering to bring agent-based reasoning, orchestration, and automation into our enterprise-grade platform. You’ll be hands-on with code, while also shaping technical direction, and evaluating new frameworks. Your work will directly influence how thousands of enterprise users experience AI in their daily sales workflows.Key Responsibilities Architect & Build:Design and implement the core architecture for agentic AI platforms, including multi-agent workflows, orchestration layers, and reasoning pipelines. AI Systems Development:Develop, fine-tune, and deploy scalable ML/NLP/LLM-driven services in production. Data & Infrastructure:Build and optimize data pipelines for ingestion, training, and real-time serving. Seamlessly embed AI services into OrbitShift products. Performance Optimization:Continuously refine models for accuracy, latency, and enterprise-scale reliability. Innovation & Leadership:Stay ahead of emerging frameworks and bring the best into production.Set technical standards, lead design reviews, and mentor junior engineers in AI engineering best practices.What We’re Looking For Education:B.Tech / M.Tech in Computer Science from a premier institute Experience:4–6 years of hands-on experience in AI/ML engineering, with proven impact in building production systems.Technical Skills: Strong skills in Python, with expertise in designing modular, scalable systems. Hands-on experience withlarge language models (LLMs) , including fine-tuning, retrieval-augmented generation (RAG), and multi-agent orchestration. Familiarity withagent frameworks(LangChain, DSPy, AutoGen, Ray, or equivalents). Solid understanding ofdistributed systems, microservices, and cloud-native deployments(AWS/GCP/Azure). Strong grounding indata structures, algorithms, and system designwith the ability to make architectural trade-offs. (Preferred) Experience withvector databases(Pinecone, Weaviate, FAISS), workflow orchestration, and LLMOps practices (monitoring, evaluation, guardrails).Why Join Us Buildfoundational AI systemsat the forefront of enterprise sales automation. Work with a world-class team and top-tier investors. Hybrid/remote-friendly work culture. Ownership, autonomy, and the chance to shape OrbitShift’s AI future.
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