Doceree - Lead AI Engineer in Noida, भारत

Lead AI EngineerDepartment : Product & Engineering (AI).Location : Noida, India - https://jobeax.com/link/ilIKp4IKFPSnBNon Doceree :Doceree as the first global network of physician-only platforms for programmatic messaging, Doceree is transforming the digital communication landscape in the global healthcare https://jobeax.com/link/hMJOPXDZPnT2LQlw provides the most comprehensive solution to Healthcare and Lifesciences advertisers to reach the target audience in the most effective and efficient way through programmatic digital https://jobeax.com/link/vIRk32fS7k6kFPgV Core Belief :Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients' https://jobeax.com/link/N4pMsOQUytFzzHPr are expanding our footprints across the globe and enhancing our services, offering, and developing new products and solutions to address the unmet needs of https://jobeax.com/link/hMJOPXDZPnT2LQlw is operating in 25+ countries currently with offices in NY, India and https://jobeax.com/link/fvxfIrSYddSV7MAM : Product & Engineering (AI).Purpose of the Job :Doceree is building the first proactive intelligence layer for pharma brand teams - an agentic AI system that turns clinical intent signals, campaign data, and market context into a daily brief that drives a decision in under five https://jobeax.com/link/G7oCfnWCo3f14USN are hiring AI Engineers to build the systems behind that https://jobeax.com/link/P4QfsHbZqJSvGZaW will design and ship production AI systems - LLM-powered pipelines, agentic workflows, retrieval over heterogeneous healthcare data, evaluation harnesses, and the orchestration layer that sits between our signal foundation and the brand manager's morning https://jobeax.com/link/teYW1nwF9eqxQbL2'll work closely with data scientists, product, and platform engineering to take prototypes from a notebook to something a brand team relies on every https://jobeax.com/link/2ClVtuvxr8597N3Q'll thrive here if you enjoy living at the seam between LLMs, traditional ML, and well-engineered backend systems - and if you care about making AI useful, reliable, and measurably better in a regulated, real-world https://jobeax.com/link/rbAefX0shAmu2Ps4 Responsibilities :- Own the end-to-end technical vision and execution of AI-powered capabilities for specific products, starting with the Daily Command platform, from early prototypes to production systems.- Design, build, and ship production-grade LLM and agentic AI systems powering anomaly detection, contextual synthesis, next-best-action recommendations, and one-click activation.- Build and optimize retrieval-augmented generation (RAG) systems leveraging Doceree's clinical intent signals, campaign data, market intelligence, and partner datasets.- Develop agentic workflows and orchestration patterns including tool use, planning, structured outputs, guardrails, and multi-step reasoning.- Establish robust evaluation, monitoring, and observability frameworks to measure quality, reliability, business impact, and model performance over time.- Make pragmatic decisions around model selection, architecture, vendor partnerships, and build-vs-buy tradeoffs across commercial and open-source AI ecosystems.- Partner closely with Product, Data Science, and Engineering teams to translate ambiguous business opportunities into scalable AI solutions.- Productionize ML and AI capabilities through APIs, services, and reusable platform components that can be consumed across products.- Own deployment, reliability, performance, and cost management of AI systems running on AWS.- Establish best practices for AI engineering, including prompt management, testing, experimentation, security, privacy, and compliance.- Serve as the technical leader for AI initiatives, mentoring future team members and helping shape the long-term AI roadmap for the organization.- Stay current with advances in LLMs, agents, retrieval systems, and AI infrastructure, and evaluate where emerging technologies can create competitive https://jobeax.com/link/nZz8cqy3f35wLykl Requirement: Experience, Skills & Education :- https://jobeax.com/link/2DENLGgQM7whDhaE / M.Tech.- 6 - 12 years of software engineering and AI/ML experience, including at least 2 - 3 years building production LLM, generative AI, or agent-based applications.- Strong hands-on programming experience in Python and modern software engineering practices, including system design, testing, API development, and cloud-native architectures.- Proven experience building and deploying AI-powered applications using LLMs, RAG, agents, recommendation systems, search, or related technologies.- Experience with modern AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, or equivalent custom implementations.- Experience designing evaluation frameworks and monitoring production AI systems beyond simple prompt experimentation.- Strong understanding of classical ML/DL techniques and libraries (scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, SpaCy, NumPy, Pandas) and when not to use an LLM.- Experience building and operating services on AWS using technologies such as ECS/EKS, Lambda, SageMaker, Bedrock, or equivalent cloud platforms.- Ability to operate independently, make architectural decisions, and drive projects from concept through production with minimal oversight.- Excellent communication skills and the ability to explain technical tradeoffs to both technical and non-technical https://jobeax.com/link/FfNN38MjANEx2m9w Qualifications :- Experience building multi-agent or workflow-oriented AI systems.- Experience with vector databases, retrieval systems, embeddings, and search infrastructure.- Familiarity with LLMOps/MLOps tooling, model monitoring, and experimentation platforms.- Experience in other data-rich regulated environments.- Experience with claims, Rx, EHR-derived signals, HCP identity, campaign telemetry, attribution, and awareness of HIPAA / GDPR / DPDP considerations is a big plus.- Familiarity with containerization and orchestration (Docker, Kubernetes), event/streaming systems (Kafka, Kinesis), and big-data tooling (Spark, Aerospike, DuckDB).- Contributions to open-source projects, technical publications, patents, or a portfolio of shipped AI https://jobeax.com/link/AJJfJpgQNyXzMJZg Explore a Career at Doceree :- Be a part of the revolution in healthcare marketing.- Innovate with us to unite and transform the Healthcare Providers (HCPs) ecosystem for improved patient outcomes.- Doceree has been recognized and certified two times in a row - Best Places to Work NJ 2023, Great Place to Work 2023.- You'll be joining the team building Doceree's next-generation agentic AI surface - the system that turns fragmented healthcare signals into the one decision a brand manager makes before standup.- The problems are real, the data is rich, and the gap between "demo" and "decision that moved NBRx" is exactly where this role lives.- If you are passionate about applied AI, healthcare, and shipping systems that change how decisions actually get made, we'd love to https://jobeax.com/link/wqALACgTEf1kzDn7 Benefits :- Generous Leave Policy.- Flexible Working Hours.- Performance-Based Bonuses.- Health Care Benefits. (ref:hirist.tech)