Lead AI Engineer
First seen by Alion on Oct 19, 2026.
Lead AI Engineer
Department : Product & Engineering (AI).
Location : Noida, India - Onsite.
About 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 industry.
Doceree 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 advertising.
Our Core Belief :
Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients' outcomes.
We are expanding our footprints across the globe and enhancing our services, offering, and developing new products and solutions to address the unmet needs of industry.
Doceree is operating in 25+ countries currently with offices in NY, India and London.
Department : 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 minutes.
We are hiring AI Engineers to build the systems behind that surface.
You 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 brief.
You'll work closely with data scientists, product, and platform engineering to take prototypes from a notebook to something a brand team relies on every day.
You'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 domain.
Key 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 advantage.
Qualifications Requirement: Experience, Skills & Education :
- B.Tech / 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 stakeholders.
Preferred 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 products.
Why 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 talk.
Doceree Benefits :
- Generous Leave Policy.
- Flexible Working Hours.
- Performance-Based Bonuses.
- Health Care Benefits.
Skills
Artificial Intelligence, LLM, Agentic AI, RAG, AWS, Machine Learning, Python, LangChain, LangGraph, PyTorch, Tensorflow